BEHAVIORAL  TOXICOLOGY:
AN EMERGING DISCIPLINE
EPA-600/9-77-042
December 1077
                        I"
                                       I  -
                   Health Effects Research Laboratory
                   Office of Research and Deueiopment
                  U.S. Environmental Protection Agency
                   Research Triangle Park, N.C. 27711

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                            EPA-600/9-77-042
                                December 1977
  BEHAVIORAL TOXICOLOGY:
  AN  EMERGING DISCIPLINE
      Proceedings of the Southwest
Psychological Association Annual Meeting
              April 30, 1976
        Albuquerque,  New Mexico
                   Editors:

                 Harold Zenick
            Department of Psychology
          New Mexico Highlands University
           Las Vegas, New Mexico 87701

                    and

               Lawrence W. Reiter
         Health Effects Research Laboratory
        U.S. Environmental Protection Agency
     Research Triangle Park, North Carolina 27711
     U.S. ENVIRONMENTAL PROTECTION AGENCY
         Office of Research and Development
         Health Effects Research Laboratory
     Research Triangle Park, North Carolina 27711

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This report has been reviewed by the Health Effect Research Labora-
tory, U.S. Environmental Protection Agency, and approved for publica-
tion. Approval does not signify that the contents necessarily reflect
the views and policies of the U.S. Environmental Protection Agency,
nor does mention of trade names or commercial products constitute
endorsement or recommendation for use.

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                                                   FOREWORD
Cerebration  is  among those characteristics that most  decisively distinguish
humans from  other animals.  The study of higher  thought processes has in-
trigued  researchers for  centuries,  but conceptual, as well  as methodological
problems, have made  progress frustratingly slow. Recent years, however, have
seen a variety  of breakthroughs in areas such as  neurochemistry as well as the
application  of information theory  to  artificial intelligence. There  has also
emerged a growing concern for the application of behavioral research to socie-
tal  problems.  It seems natural then, that one of our recent, most pressing socie-
tal  problems—the  reconciliation of man's interaction with his environment-
has become an important driving force  in neurobehavioral research. In effect,
the title of this symposium, "Behavioral Toxicology: An Emerging Discipline"
underscores the somewhat embryonic nature of this area  of research.

Much   environmental toxicology  (appropriately)  focuses on  relatively gross
changes in biochemistry, morphology, or physiology. It  is equally  appropriate,
however,  for the behavioral toxicologists to concern themselves with the subtle
alterations environmental agents  may exert on  man's capacity to cope with
his...environment.

Environmental health effects  research  has many inherent difficulties.  Behav-
ioral  research  has  many inherent difficulties.  The  juxtaposition of these two
disciplines results inescapably  in a multiplying effect of  the research problems
encountered. I have encouraged and supported my colleagues in environmental
neurobehavioral research over the years—but from  a distance. Thus,  it is per-
sonally  gratifying to me to  be able  to recognize  in a more explicit fashion the
progress they  are making. This symposium represents one more important step
forward  in  the consolidation,  coordination and promotion of the emerging
discipline of behavioral toxicology.
                                          John H. Knelson, M.D.
                                                Director
                                     Health Effects Research Laboratory
                                     Research Triangle Park, N.C. 27711

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                                                       PREFACE
This book contains the proceedings of a symposium entitled "Behavioral Toxi-
cology: An Emerging Discipline" held in conjunction with the Southwest
Psychological  Association meetings, April 30, 1976,  in Albuquerque,  New
Mexico. Authors of formal  presentations later  reviewed  and enlarged  their
contributions.  In emphasizing the interdisciplinary nature of this  area, the
participants were drawn from a number of different disciplines including toxi-
cology, pharmacology, psychology, physiology, and veterinary medicine. The
audience that this publication addresses is  not only contemporaries in the field
but  also those researchers in  behavioral  toxicology. Thus the intent  of this
book is to provide a "state of the art" overview of the area. We have attempted
to do this by incorporating chapters that discuss some of the most fundamental
aspects such as sources of funding (Chapter 1), and basic methodological and
experimental considerations  (Chapters 2, 3, 4).  In addition, there are chapters
that address specific  areas of  investigation including the utilization of tech-
niques to assess the interaction of the animal with its environment (Chapters 5,
6, 7),  considerations  ins sensory toxicology (Chapter 8), and employment of
electrophysiological techniques (Chapters 9, 10).
                                   IV

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                                                  CONTENTS
 1.  John A. Santo/ucito
    Overview of Federal Funding Avenues for Support of Neurotoxicology

 2.  W. B. Buck, D.  L Hopper, W. L. Cunningham, and G. G. Karas
    Current  Experimental Considerations and Future Perspectives  in Behav-
    ioral Toxicology

 3.  Harold Zenick
    A   Review  of the  Developmental  Models  Employed  in  Behavioral
    Toxicology

 4.  Robert L. Bornschein and I. Arthur Michaelson
    Methodological Problems  Associated  with  the Exposure  of  Neonatal
    Rodents to Lead

 5.  Stata Norton
    Observational Techniques in Behavioral Toxicology

 6.  Lawrence Reiter, George Anderson, Miriam Ash, and L. Earl Gray
    Locomotor Activity  Measurements in Behavioral Toxicology:Effects of
    Lead Administration on Residential Maze Behavior

 7.  Phyllis Mullenix
    Altered Behavioral Patterning in  Rats  Postnatally Exposed to Lead: The
    Use of Time-Lapse Photographic Analysis

 8.  Hugh L. Evans
    Behavioral Assessment in Sensory Toxicology

 9.  Dorothy E.  Woolley
    Electrophysiological Techniques in Toxicology

10.  David Otto
    Neurobehavioral Toxicology: Problems and Methods in Human Research

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       OVERVIEW  OF  FEDERAL FUNDING
                  AVENUES  FOR SUPPORT OF
                                NEUROTOXICOLOGY
                     JOHN A. SANTOLUCITO

                     Environmental Monitoring and
                     Support Laboratory, Las Vegas
                  U.S. Environmental Protection Agency
Although this symposium  is entitled "Behavioral Toxicology," I  believe it is
acceptable,  if not desirable,  for me to address the general  subject  of neuro-
toxicology.    Simply  defined,  neurotoxicology is  the  systematic  study of
unwanted effects of toxic agents on the nervous  system. Recent interest in
neurotoxicology  is largely due  to the growing concern over the number of
toxic agents to which we are exposed in our highly industrialized society. The
number of synthetic materials being produced, as well as the large amounts of
industrial and  municipal waste  products being introduced  into the environ-
ment, have  all added significantly to the urgency of neurotoxicologic research.

In order to understand adequately  the  biological effects  of environmental
insults, it is necessary to consider the potential of the insult to impair func-
tioning of the nervous  system  by  direct or  indirect alteration  of neuronal
physico-chemical  states.  Such impairment may appear, for example, as changes
in the mental ability of an individual to react, remember, or learn; as changes
in emotional states, such as anxiety or depression; or as changes in neuroendo-
crine function. These changes may result  in decreased capability to cope with
everyday living conditions, with a subsequent reduction  in the "quality" of
life. Health  effects such  as these, which fall short of morbidity and mortality,
become increasingly important  as the requirements for our society become
more complex and demanding.

It is not necessary to stress further the importance of neurotoxicology in the
overall  assessment of responses to toxicologic agents. However, as  a discipline,
it is  in  a relatively early  developmental stage, having received little formal
recognition  apart from that given to specific occupational risks prior to 1969
(Weiss and Laties, 1969).
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The  recent establishment of neurotoxicology as a discipline  is attracting the
interest of a  new cadre  of  investigators seeking assurance that the  Federal
Government  is interested in  and supportive of the discipline. A review of in-
house  research  and extramural  support for the past  decade provides this
assurance. All Federal agencies having responsibility in the field of toxicology
have  recognized neurotoxicology  as an  important  investigatory  discipline
since the middle  1960's. While  the  interest initially focused  on the direct
effects of toxic agents  on the central nervous system (CNS), it later encom-
passed the use of behavioral  and/or neurophysiologic indicators of toxicity in
which  the CNS may not be the primary target  (Colleti  and Krueger, 197.0).
The  present diversity of interest includes physical contaminants (e.g., noise and
microwave) as well as chemical contaminants in the environment and  psycho-
logic as well as physiologic effects (Berglund eta/., 1974).

The  problem faced by  Federal  agencies in  evaluating  the neurotoxicologic
effects of numerous insults, given that the CNS integrates and is reactive to the
status of the whole  organism, is the lack of definitive equations relating alter-
ations in neurophysiologic indices, including behavior, to life span, health, pro-
ductivity, or well-being.  For this reason, available funds for support of neuro-
toxicologic research are modest.despite the recognition of its importance. It is
also  worth noting that in times  of a tighter economy many  agencies tend to
shift extramural support disproportionately in favor of contracts over grants.
That is to say,  agencies use available funds to solve specific problems rather
than to expand a general information base having no immediate payoff. This
tendency should cause  no great concern  to those seeking research support.
It simply necessitates formulating specific  objectives which meet the specific
research  needs of the agencies. Grant monies are not unavailable. Rather, they
may be relatively more difficult to obtain.

Contracts  may  be  competitive  or  noncompetitive, solicited or  unsolicited.
Federal Procurement Regulation states, "All  purchases and contracts shall  be
made on  a competive basis to the maximum  possible extent." Because indivi-
dual agencies' needs will vary, so will  their interpretation of maximum possible
extent. All solicited competitive contracts  are initiated by an agency in  the
form of a request for  proposal  (RFP)  published in the Commerce Business
Daily* along with a closing date  by which  proposals must be received and the
name and address of the requesting  agency. Unsolicited contracts are consi-
dered when  they  represent original effort  by the offerer in the form of new
and  unique ideas.

It is therefore apparent that the research needs of an  agency  and  the research
capabilities of an  investigator  must be brought together. Research needs and
information  about funding mechanisms can  be obtained from each agency's
office  or division  responsible for extramural  research  or grants and contracts.
For  example, a publication entitled "How to Do  Business With EPA: A Guide
to Requirements for Grants and Contracts," is available from Environews, Inc.,
 'Available from the Superintendent of Documents, Government Printing Office, Wash.,
  D. C. 20402.
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 This symposium discusses some of the testing methodologies currently used in
 neurotoxicology, including  behavioral,  neurochemical, and electrophysiologic
 techniques. One of the  primary goals of neurotoxicology is to provide data
 for use in  the evaluation of potential health hazards associated with exposure
 to various environmental pollutants. A thorough understanding of the methods
 employed  and  of  the properties being  measured is critical  to achieving this
 objective.  Sources  of variability,  control measures, and  validation procedures
 associated with  the  testing methodologies  must be  known. Baseline perfor-
 mance or  response of the test animal used and confirmation of the composi-
 tion  or purity  of  the  toxic  agent  being tested  are equally important. Ob-
 viously, the more  reliable and  reproducible the test  system,  the  more  we
 understand the biological effects  of toxins  and the better equipped  we are to
 define the risks involved in exposure. Quality assurance in biological research
 is a matter of prime concern to Federal agencies.

 Neurotoxicology is a young and vigorous discipline. While in its infancy, it is
 being challenged to  provide answers to complex and multifaceted real-world
 problems. This symposium was convened to address some of these problems
 and to assess current progress in several areas of neurotoxicology  related to
 environmental  pollutants. The  planning and implementation of this  sympo-
 sium,  the  contents of its timely papers,  and the expertise in  attendance afford
 confidence that neurotoxicology will meet these challenges.
                             ADDENDUM

    I.   National Institutes of Health
        Office of Extramural Research Support
        Bethesda, Maryland 20014

Some of the Institutes of  NIH will  be more likely to have interest in neuro-
toxicology than others. For  example: National Institute of Environmental
Health Sciences;  National  Institute  of Mental  Health; National Institute  of
Child Health and Human Development. If it seems probable that a research
capability would be of interest to  one of the Institutes in particular, it would
be advisable to so indicate.

   II.   National Institute of Occupational Safety and Health
        Office of Extramural Research Support
        5600 Fishers Lane
        Rockville, Maryland 20852

  III.    Environmental Protection Agency

In EPA there are two Health Effects Research  Laboratories with interest in
behavioral  toxicology. They receive  unsolicited  proposals through the Grants
Administration  Division,  Environmental  Protection  Agency,  Washington,
D.C. 20460.

   IV.  Food and Drug Administration
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Each of the units receives proposals directly as follows:
For environmental pollutants
For food additives/contaminants
For therapeutic drugs
For diagnostic agents
For veterinary products
   Assistant Director for
    Scientific Coordination
   National Center for Toxicological
    Research
   Jefferson, Arkansas 72079

   Director, Bureau of Foods
   200 C St., S.W.
   Washington, D. C. 20204

   Director, Bureau of Drugs
   200 C St., S.W.
   Washington, D. C. 20204

   Director, Bureau of Biologies
   200 C St., S.W.
   Washington, D. C. 20204

Director, Bureau of
 Veterinary Medicine
200 C St., S.W.
Washington, D.  C. 20204
    V.  National Aeronautics and Space Administration
        Director, Office of University Affairs (Code P)
                         or

        Director, Office of Life Sciences (Code SB)
        NASA Headquarters
        Washington, D. C. 20547

 References

 Berglund,  B., Berglund,  U., and Lindvall, T. (1974).  Scaling of annoyance in
    epidemiologic studies. In Recent Advances in the Assessment of the Health
    Effects of Environmental Pollution: International Symposium Proceedings.
    Commission of the European Communities, Luxembourg.

 Colleti,  R. B. and  Krueger,  K. K. (1970). Proceedings of the Workshop on
    Behavioral Assays in  Uremia.  U.S.  DHEW Publication No. (NIH) 72-37.

 Weiss, B.  and Laties, V.  G. (1969).  Behavioral pharmacology and  toxicology.
    Annu. Rev. Pharmacol. 9, 297-326.
                                    1-4

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                2. CURRENT  EXPERIMENTAL
         CONSIDERATIONS AND  FUTURE
           PERSPECTIVES  IN  BEHAVIORAL
                                          TOXICOLOGY
     W. B.  BUCK, D. L HOPPER, W.  L CUNNINGHAM, AND
                          G. G. KARAS

                   Behavioral Toxicology Laboratory
                   Veterinary Diagnostic Laboratory
                    College of Veterinary Medicine
                        Iowa State University
Introductory Comments

Any discussion of behavioral toxicology generally begins with an attempt to
put into words a concept which, as yet, has not been fully developed. This
"definition"  problem  manifests  itself as  an "identity" problem,  not  only
among ourselves but also in the eyes of our colleagues in other disciplines. The
urge to define comes from a feeling that we are well past puberty and repre-
sent a mature field of endeavor. However, considering that our evolutionary
process has only recently begun  (we  did not actually agree  on  what to call
ourselves until the late 1960"s), a final definition  may be premature.

Rather than attempt a definition, we propose to discuss the scope and multi-
disciplinary aspects of behavioral toxicology. Whether one considers behavioral
toxicology as another approach for  the study of the  effects of toxicants on an
organism or as a means of studying  animal  and human behavior as affected by
neurotoxicants, we can surely agree  that it is a field  of endeavor that requires
the expertise of many disciplines.

It is unlikely that a single researcher can be found who possesses the many and
varied skills needed for the conduct of behavioral toxicology studies. There-
fore, studies using the behavioral toxicologic approach usually involve a multi-
disciplinary team effort. The various disciplines that are represented on this
*This work was supported by Environmental Protection Agency Contract  68-02-2288 to
 Dr. William B. Buck, Director, Behavioral Toxicology Laboratory, Iowa State University,
 Ames, Iowa 50010.
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team will  be determined by the availability of individuals with a specific exper-
tise and the objectives of the research. Listed below are some of the disciplines
that may be found in a behavioral toxicology research program:

   1.   psychology
   2.   toxicology
   3.   veterinary and/or human medicine
   4.   chemistry
   5.   physiology
   6.   pathology
   7.   biophysics
   8.   biomedical engineering
   9.   computer science
  10.   statistics

The behavioral toxicologist strives to devise sensitive techniques to evaluate the
possible consequences of exposure to new and untested chemicals as measured
by  the total integrated function of the organism being tested. Those toxicants
having direct effects on the nervous system, whether they be sensory, motor,
or cognitive, are more likely  to be studied in behavioral toxicology. However,
toxicants which have their primary effect on other organ  systems, such as the
liver and  kidney,  may also be sensitively assessed using the multidisciplinary
behavioral toxicologic approach. Perhaps one can summarize the goals of the
behavioral toxicologist as: (1) the utilization of behavior for the assessment of
the effects of toxicants, (2) the correlation of behavioral changes with concom-
itant  physiopathologic alterations (overt clinical  signs,  pathologic changes,
electrophysiologic and biochemical alteration, and death), and  (3) the assess-
ment of the effects of toxicants on behavior (sensory,  motor,  and cognitive).

Behavior as an Index of Toxic Effects

One need only make a cursory review of  the literature  over the past 10  years
or scan the references of some of the more recent behavioral toxicology review
papers (Weiss  and  Laties, 1975; Bignami, 1976)  to appreciate the amount of
scientific research  that has  accepted behavior as  a  viable index  for under-
standing the effects of toxic substances. The increased  use of behavior should
give gratification to those early  researchers who felt that this was  a missing
dimension  in  experimental   environmental   toxicology  (Puffin,  1963;
Brimblecombe, I968).

A majority of  behavioral  toxicologic research has dealt, for  the most part,
specifically and directly with behaviorally measuring the effects of exposure
to toxic compounds. This "direct effect" type of research (the examination of
the effects on behavior only) has been and remains important for the following
reasons.  First,  it. has helped in understanding the kind and the magnitude of
behavioral effects that may  result from exposure to toxic substances, effects
that would not  be apparent from an examination of only neuroenzyme or
structural changes. Investigations from our laboratory  over the past 10  years
which  have involved the study of the effects of exposure to lead (Van Gelder,
et a/.,  1973; Carson, et a/.,  1973; Carson, et al., 1974), chlorinated hydrocar-
bons (Sandier, et al,, 1969; Smith, et al., 1976) and organophosphates (Reischl,

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Van Gelder, and Karas, 1975; Van Gelder,  1975),  provide  examples of this
type of research. Within the confines of these experiments, we have been able
to examine the behavioral functioning of an organism as it has been affected
by a specific toxicant.

Second, this type of investigation has helped to provide a research foundation
which  gives the discipline credibility. By demonstrating that behavior can be
affected by toxic substances and that it can be as sensitive as other toxicologic
indices, we have established not only the credibility of behavior as a measure-
ment tool, but also the viability and reliability of the discipline as a competent
information provider.

However,  it will probably be through an "indirect"  research  approach that
behavior will have its greatest utility and value as a research tool. That is, when
we examine behavior  in conjunction  with, rather than  in lieu of  other toxi-
cologic methods, we  will be moving towards a better  understanding  of the
effects of toxic compounds. That is not to lessen  our  roles either as behavior-
ists or toxicologists. Just  as one cannot hope to get a complete image of the
effects  of a toxic substance or the  overall functioning of  an organism by
looking at enzyme levels, tissue levels, or an EEG alone, similarly, one cannot
hope to get a complete picture by  looking solely at  behavior.  The multi-
disciplinary approach, by combining people and  ideas from different disci-
plines,  encourages attempts  at  correlating  behavior  with  other   indices of
toxicosis in order to obtain a more complete picture  of the total functioning of
an  organism.  The  behavioral toxicologist,  or  behavioral toxicology research
team, then, has an important place  in terms of the overall understanding of
environmental toxicology.

Clinical Observations as a Source of Research Hypotheses

Clinical observations  are perhaps the most direct  and the oldest source of
information  available  to the toxicologist concerning the effects  of  a toxic
agent on an organism. Such observations can provide not only  valuable  infor-
mation as to the source  and treatment of a  toxicosis, but also  important
clues in the continuing  effort to delineate toxic effects, and they  are, there-
fore, important to the  formulation of viable research hypotheses.

One of the most apparent and readily determined signs of illness of toxicosis
is a change in the reflexive responses of the organism. Alterations in eye blink,
startle response, clasping,  righting,  or withdrawal, for example,  give good
indications as to the source,  extent, and severity of toxicoses. Knowledge of
reflexive response changes can aid in isolating  toxic effects  to various body
systems (CNS, vasculature, sensory organs, motor system,  and musculature).

Many toxic agents have effects  which are not associated with overt clinical
signs  of which are manifested in situations  or  in organisms that do not lend
themselves  to  controlled experimentation. In  such situations, the  effects of
toxic agents on  naturally occuring  responses (although of  interest in their
own right) can  be  a particularly useful  resource for research hypotheses. By
"natural  responses" we mean  behavioral outputs characteristic of an organism
which  require no experimenter training and which  occur with  a minimum of
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learning or experience on the part of the organism. Examples of such natural
responses  include herding behavior, many of the stereotypic mating responses,
characteristic  social  behaviors,  dominance  hierarchies,  orientation (homing,
spawning), and territorial behaviors. All  of these  behaviors are readily observ-
able and subject to toxicologic insult. The potential behavioral hypotheses are
innumerable.

Finally, a distinction  must be made between clinical "signs" and "symptoms."
Clinical signs, such as changes in  blood pressure or respiration, may appear with
a toxicosis in both humans and animals. However, symptoms are available to
the toxicologist only from human subjects and are merely the subjective report
given to the toxicologist by the subject. By extrapolation, symptoms reported
by  human subjects may  provide important clues to toxicoses  and their effects
in  animals; whereas,  the reverse is obviously not available as a resource for
research hypotheses from animals.

Research Paradigms and Measures

Much  of  the  research in  behavioral toxicology has  been paradigm oriented,
resulting directly from an effort to find behavioral paradigms which are both
sensitive to toxicologic  insult and able  to  provide  answers to questions of
specific behavioral interest.

Activity Tests

A favorite measurement  of the psychopharmacologist and behavioral toxicolo-
gist has been the general  activity of the organism. The term "activity" has been
most often used in reference to general motor activity. The method used to
obtain the measure is  important in the  use of activity measures. General activ-
ity  can be measured in revolving wheels, stabilimeters, or tilt  cages, by photo-
electric means,  by ultrasonic or resonant circuits,  or  by direct  observation.
Each of these  methods  of obtaining activity levels is subject to a number of
variables  and  may be differentially affected by  each.  The interpretation of
treatment effects due  to a toxic insult can be most meaningfully understood if
stable  pretreatment baselines are established, if the  animal is properly habit-
uated  to  the activity  apparatus, and if extraneous variables such as handling,
light, noise, health, age, sex, motivation, diet, population density, strain,  and
species are controlled.  For discussion of this topic see  Finger (1972).

Although  many activity  apparatuses have  the  advantage of  simplicity, they
cannot provide the wealth of information available through direct observation.
This method, when  used properly  by taking precautions against investigator
bias, avoiding subject-experimenter interaction, and  insuring  standards of be-
havioral classification, can provide activity information directly relevant to a
number of potential   research hypotheses.  This  is not  possible  with  activity
measuring devices. Norton (1973)  has recently introduced a procedure, which
has subsequently  been modified and automated  in our laboratory, whereby
some of the sources  of  error and  difficulties associated with employing  the
method of direct  observation can  be reduced. This method of activity deter-
mination  is called  video  pattern recognition. It employs a computer algorithm
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to determine the occurrence of experimenter-defined  behavioral acts. Obser-
vation is via  a  movie camera  input to a computer system. This methodology
has great  potential  both in objectifying a classically  used  observation method
and in providing a means of carefully examining aspects of a variety of behav-
ioral  activities which have been previously  difficult or impossible  to obtain.
This method is described in greater detail by Norton in Chapter 5 of this study,
while application of a macroanalytic technique is discussed by Reiter (Chapter
6) and microsampling by Mullenix (Chapter 7).

Developmental Testing

Evidence that the immature organism is more likely to be affected by a number
of toxic agents is fairly well  accepted among toxicologists. This research has
established that changes seen in an organism may be specific to one period of
the life span, thus making the time of exposure a critical variable in delineating
a toxic effect.  In Chapter 3, Zenick reviews various developmental models that
have  been employed in  behavioral  toxicology. The nature  of  a toxic insult
which occurs at one or more periods in the development  of the organism and
manifests itself in  another can  best be detected by the use  of  a longitudinal
experimental design. The long-term assessment of the effects of toxicants  on
animals or humans  has only recently  begun to be exploited, and  we need a
great deal of research in this area if we are to understand the interaction of the
developmental  processes with  other variables of interest to the  behavioral
toxicologist. A recent example of this research approach is discussed by Spyker
(1975).

Appetitive  and Aversive Conditioning

Behavioral toxicologists have employed a broad range of classical, instrumental,
and  operant paradigms  in their efforts to elucidate the effects of toxic agents
on behavior. It is beyond the scope of this paper to  discuss the nuances of the
many paradigms which  have been  employed; however, we feel that some  com-
ments abouts the selection and use of behavioral paradigms are worthwhile.  Of
primary importance to the selection of a behavioral paradigm are the realiza-
tions that behavior is not a single, simple entity and that failure  to find a toxi-
cologic effect on behavior as measured under one set of circumstances with one
paradigm  does  not  preclude effects with other paradigms under similar or even
dissimilar circumstances. The rule  of behavior is its complexity and variability;
it is  a function of  antecedent conditions, current  stimulus circumstances, the
properties of the behavior act itself, and the  consequences of the  act.

The  constraints on  the selection of a behavioral paradigm  are many:  the hypo-
theses to  be tested, the subjects utilized, the effects sought  (whether chronic
or acute), the  nature of  the toxicant, and the availability of equipment and
funds are only a few of the important factors  in the selection of a paradigm.
The  best  tool available to the toxicologist  to aid in the selection process is a
thorough  evaluation of the research literature. It is  hard  to imagine a greater
frustration than discovering that the paradigm one has selected  and  in which
one  has invested many  hours and thousands  of dollars  has been  shown  by
colleagues to be inappropriate on the basis of a number of criteria.
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We have found in our laboratory  that when studying the chronic effects of
various toxicants, it is strongly advisable to begin the experiment with as many
subjects as reasonably  possible.  For example, the need for a large number of
subjects is particularly  true for between-group designs employing  highly toxic
agents with potentially cumulative effects. A final admonition in the selection
and utilization of a behavioral paradigm is to expect the unexpected. Valuable
insights,  or even factors in the delineation of a toxic effect, can  be lost by a
mind that  has  an a priori set of  expectations which  precludes an insightful
examination of the data obtained  from any paradigm which might be utilized.

Sensory Processes

The sensory systems are the means by which our information-processing brains
interact with the environment, and as such these systems place important func-
tional constraints  on behavior.  The study  of  sensory systems is one of the
oldest research areas in experimental psychology, and  the methods employed
in this study are well developed and have stood the test of time. We  refer of
course to  the  traditional  psychophysical methods and their  contemporary
improvements.  By utilizing the method of limits, the method of average error,
or the method of constant stimulus differences, we can  determine important
information concerning the effects of a toxicant  on the absolute threshold,
terminal threshold, difference thresholds, and  the discriminability  of stimuli.

More frequently than  is desirable, behavioral tests are conducted  with  com-
plete disregard for the effects  of toxicants on  important sensory systems.
Deficiencies ascribed to disruptions in short-term retention in a visual delayed
response task could well occur  because  of an  alteration in  the visual system.
We can  apply this same logic to a  number of the behavioral paradigms we have
employed in assessing  toxic effects. Recent efforts in our laboratory  (Reischl
et at., 1975)  and by others (Hanson, 1975) have shown significant alterations
in sensory systems due to toxic insult. In  Chapter 8, Evans examines the behav-
ioral principles likely to aid in  the precise definition  of sensory impairment
caused by toxins.

Cognitive Processes

In the last decade, there  has been a great expansion of research  on cognitive
processes in humans and, more recently  (the past five  years), with  nonhuman
primates. The growth  of cognitive research, particularly with nonhuman pri-
mates in the areas of short- and long-term retention, forgetting, and language
acquisition, can provide the toxicologist  with promising behavioral tools. With
the upsurge of  research on human cognitive processes, there has been a corres-
ponding development  in cognitive theory.  We feel that within this area the
behavioral  toxicologist might find  unifying concepts relating findings with
animal subjects to those with humans. It has been our experience that the more
complex testing paradigms have  been  more sensitive to toxicologic  insult,
particularly during the period of acquisition. Of special interest is the fact that
some cognitive processes appear to be fairly localized  functionally  within the
CNS, for example, short-term memory  and the hippocampus, language and
speech centers  in the  left cortical hemisphere, and the prefrontal cortex and
delayed response deficit.
                                  2-6

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We are  hopeful that the behavioral toxicologist will utilize the research para-
digms available to study cognitive processes in both humans and animals so as
to delineate subtle behavioral changes resulting from long-term chronic expo-
sures to a number of central nervous system toxicants.

Variables of Critical  Interest

Interacting with  all  of  the experimental approaches which we have just men-
tioned are a number of specific variables, which, if not controllable or mani-
pulable in some way, must at least be recognizable as contributing their effects
to our data.

One of these variables could be simply the species used  within a given experi-
ment.  One should always  assume that his data  is species specific  until  inter-
species experiments  prove  otherwise. Furthermore, one could have intraspecies
effects, such as one  strain  of experimental subjects displaying behaviors which
are slightly different from  another strain of subjects comparably exposed to a
given chemical.  In either  case, the species and  strain issues raise  a question
about extrapolation of our research data.

A second variable which has shown itself to be of considerable interest is the
dose-response relationship. High-dose, acute-exposure experiments  have consi-
derable importance  in  that they suggest tasks which might have potential for
being sensitive to much lower chronic exposure levels.  For example, early in
our  experimental program, we found that the conditioned avoidance response
task did not appear  to  be  sensitive to dieldrin exposure  in sheep even at levels
that were sufficient to produce convulsions  and other  overt clinical signs of
toxicosis. Most behavioral  toxicologic research, however, will probably deal in
a  chronic exposure  framework at levels approximating human exposure or at
least at levels found within the environment. One  needs to be aware that the
lower the level of exposure, the  more likely  it is that individual differences in
metabolism or other physiologic factors may bias  the behavioral data.

A third variable  is synergism, the effects between toxicants to which the test
subjects are either  experimentally or environmentally exposed.  Currently,
this  problem  can be conservatively and practically handled on  a  small scale
with a factorial experiment using two or three toxicants. However, the syner-
gism problem becomes  more difficult or bewildering when considering the pos-
sible interactions between  toxicants, inter-intra species specific effects, and the
dose-response curve.

Although many physiologic experiments may not attempt to account for these
variables,  the  very nature  of behavioral toxicologic research necessitates their
not  being taken  lightly. Each  of these factors may be  highly correlated  not
only with one another, but  also with  the total  functioning of the  organism
both in and out of the experimental environment.

A  fourth variable of considerable interest concerns the critical period of expo-
sure. Regardless  of  when  an organism is  exposed to a toxicant,  the effects
observed are the  result  of many  interacting variables, some of which are deter-
mined  by the state of  development of the organism. As  earlier emphasized,

                                   2-7

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alterations  following a toxicosis at one point in the life span of the organism
may be specific to that period only or may  appear in  other  developmental
stages. It is important,  therefore, to  examine carefully experimental data in
light of developmental  variables prior to (1) extrapolating findings from one
period of development  to  another or (2) assessing the hazard of a toxicant.

Finally, there are insufficient data even to suggest what effects environmental
factors such as bedding, frequency'of cage cleaning, temperature and climatic
variations,  amount of handling,  conditioning  prior to experimentation, and
housing might have on the outcome of an experiment. Obviously these are fac-
tors which, for the most part, we take for granted  and place with our experi-
mental error. However,  when these factors are combined with those discussed
above, they have serious implications for the data we produce from our experi-
mentation  and the methods we utilize in obtaining the data.  Recent reviews
(Fouts, 1976; Vesell et  at., 1976; Lang and Vesell, 1976) document the signifi-
cance of these variables. A further discussion  of methodological problems is
provided by Bornschein and Michaelson in Chapter 4.

Predictions

Having  attempted to describe  some  of the disciplines involved in the field of
behavioral  toxicology, some of the methods employed by these disciplines, and
the variables which are  potentially critical in the utilization of these methods,
it seems appropriate to ascertain what directions research  may take  in the
future.  As our field of  investigation  matures, we may expect some fairly dra-
matic shifts in areas of study, changes in methodology, and a better delineation
of the concepts involved in behavioral toxicology. Therefore, we feel confident
that the future will see:

    1.  Continuation and refinement in the standardization of testing proce-
        dures with a goal  of establishing a battery of sensitive behavioral tests
        for use by regulatory  agencies in evaluating hazards of potential neu-
        rotoxicants.  The emphasis here will probably be to develop the bat-
        tery so that the tests provide information on a number of psycholog-
        ical capabilities, any one of which may be affected by  the toxicant.

    2.   Increased  use  and  improvement of automated and  nonautomated
        behavioral testing techniques.  Toxicologic  research  will more fre-
        quently use behavior as an index as techniques are improved and then
        will attempt to examine behavioral functioning from both individual
        and social perspectives.

    3.   Increased  studies  on  the synergistic effects of neurotoxicants, not
        only  with respect to other neurotoxicants, but also in  relation to
        species effects  and  specific environmental or  laboratory influences
        on behavior.

    4.  More  studies of  the  critical  times of exposure during the  develop-
        mental stages of the CNS. Of particular interest will be studies linking
        specific psychologic deficits with specific periods of exposure.
                                   2-8

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    5.   Increased emphasis upon correlating behavioral changes with concomi-
        tant physiopathologic changes. Researchers in our field will someday
        be  able to detect  physiopathologic changes and reliably predict their
        behavioral correlates, and vice versa. The capability lies in the future,
        but the seeds are currently being planted.

    6.   Greater  emphasis  on the  importance of  theory  in determining the
        direction of research. We  are only beginning to abandon the "knee-
        jerk"  approach to  our research  whereby  we conduct experiments
        without regard  for what has gone before both behaviorally and phy-
         siologically. With  the advent of sound theory development generating
        testable  hypotheses, behavioral toxicologic research will assume direc-
         tion and, therefore, long-range goals.

    7.   More emphasis  on the  knowledge of  the  target area of toxic effect.

    8.   More  attention to  interpretive fidelity, to establishing stronger cri-
         teria for reliance  upon  behavioral toxicologic data before regulatory
         action  is undertaken. The end result will be an elimination of the
         "straw-man"  which  may  incorrectly  support or deter the use of a
         toxicant.

Although these  predictions  are  not  all-inclusive, we feel they do represent
developing interests among the growing group  of people engaged in behavioral
toxicologic  research. Progress in  behavioral toxicology will undoubtedly come
from  the strength of a diversity of disciplines and their contributions to meth-
odology and theory. It  is  a  well intergrated interdisciplinary approach which
will  ultimately  provide  the  answers  to the  problems facing behavioral  toxi-
cology.

References

Bignami,  G. (1976). Behavioral  pharmacology and  toxicology.  Annu.  Rev.
   Pharmacol. Toxlcol. 16,329-366.

Brimblecombe, R. W. (1968). Behavioural studies. In Modern Trends in Toxi-
   cology (E. Boyland and  R. Goulding, eds.), pp. 149-174. Appleton  Cen-
   tury Crofts, New York.

Carson, T. L,  Van Gelder, G. A., Buck, W. B., Hoffman, L J., Mick, D.  L,
   and  Long,  K. R.  (1973). Effects of low  level lead ingestion in sheep.
   Clin. Toxic-ol. 6, 389-403.

Carson, T. L, Van Gelder,  G. A., Karas, G. G., and  Buck, W. B. (1974). Devel-
   opment of behavioral  tests for the  assessment of neurologic  effects  of lead
   in sheep. Environ. Health Perspect. 7, 233-237.

Finger,  F. W.  (1972). Measuring behavioral  activity.  In Methods in  Psycho-
  biology (R.  D. Myers, ed.), Vol. 2,  pp.  1-19.  Academic Press,  New York.

Fouts, J.  R. (1976).  Overview of the field: Environmental factors affecting
  chemical or drug effects  in animals.  Fed. Proc. 35(5). 1162-1165.

                                   2-9

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Hanson, H.  M.  (1975).  Psychophysical evaluation of toxic effects on sensory
   systems. Fed. Proc. 34(9), 1852-1857.

Lang, C. M. and Vesell,  E. S. (1976).  Environmental and genetic factors affec-
   ting laboratory animals:  Impact on biomedical research. Fed. Proc. (5),
   1123-1124.

Norton, S.  (1973) Amphetamine as a model for hyperactivity in the rat.
   Physiol. Behav. 11, 181-186.

Reischl, P.,  Van Gelder, G. A., and Karas, G. G. (1975).  Auditory detection
   behavior in  parathion-treated squirrel  monkeys (Saimiri sciureus).  Toxi-
   col. Appl. Pharmacol. 34, 88-101.

Ruff in,  J.  B.  (1963).  Functional testing  for behavioral  toxicity: A missing
   dimension  in  experimental  environmental  toxicology.  J.  Occup.  Med.
   5(3), 117-121.

Sandier, B.  E., Van  Gelder, G.  A., Elsberry, D. D., Karas, G.  G., and Buck,
   W. B. (1969).  Dieldrin exposure and vigilance behavior in sheep. Psychon.
   Sci. 15, 261.

Smith, R. M., Cunningham, W.  L, Jr., Van  Gelder, G. A., and Karas, G. G.
   (1976).  Dieldrin toxicity and successive discrimination reversal in squirrel
   monkeys (Saimirisciureus). J. Toxicol. Environ. Health  1, 1-11.

Spyker, J. M. (1975). Assessing  the impact of low level chemicals on develop-
   ment: Behavioral and latent effects. Fed. Proc. 34(9), 1835-1844.

iVan  Gelder, G.  A.  (1975).  Behavioral toxicologic studies oT  dieldrin, DDT,
   and ruelene in sheep. In Behavioral Toxicology (B.  Weiss and V. G. Laties,
   eds.), pp. 217-239. Plenum Press, New York.

Van  Gelder, G.  A.,  Carson,  T. L, Smith,  R.  M., and Buck,  W. B. (1973).
   Behavioral  toxicologic assessment  of the neurologic effect of lead in sheep.
   Clin. Toxiol. 6, 405-4I8.

Vesell, E. S., Lang, C. M., White, W. J., Passananti, G. T.,  Hill, R. N., Clemens,
   T. L.,  Liu,  D.  K., and Johnson, W. D. (1976).  Environmental and genetic
   factors affecting  the response of  laboratory animals to drugs. Fed. Proc.
   35(5),  1125-1132.

Weiss, B.  and  Laties, V.  G. (1975). Behavioral Toxicology. Plenum Press, New
   York.
                                    2-10

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3. A REVIEW OF  THE  DEVELOPMENTAL
                           MODELS  EMPLOYED  IN
                     BEHAVIORAL TOXICOLOGY
                          HAROLD ZENICK

                        Department of Psychology
                     New Mexico Highlands University
  Introduction

  In assessing the effects of a potential toxicant on the developing offspring, one
  of the  first questions  to confront the investigator is "When should exposure
  occur?" Few colleagues  have addressed this question to any extent (Spyker,
  1975); and although administration of toxicants has occurred at almost every
  developmental period, it has rarely been done in any factorial manner within
  a study.  Furthermore, although authors have discussed  the methodological
  considerations in this general  area  of developmental psychopharmacology
  (Young, 1967; Brimblecombe, 1968; Kornetsky, 1970), they have essentially
  avoided this issue.

  In many studies  the primary concern of the experimenter is to demonstrate or
  reveal an "affected" organism,  and  it is often nor clear to the reader why a
  particular period of exposure was selected  for study. Although this omission
  does not reduce the significance of the findings, an equally important issue
  should  be the delineation of the periods in the lifespan of the organism during
  which toxicant exposure is necessary and/or sufficient to  produce deleterious
  effects. Assessment without such information may  be incomplete,  and  the
  availability of such information is of obvious value for prophylaxis.

  The present chapter presents a review of the periods of development that have
  been examined for lead, mercury, and pesticides (the review covers only pub-
  lished articles and omits abstracts).  Many of the considerations and directions
  *This work supported by NIH-MBS Grant  No. 5-S06-RR08066 and the  Institute of
     Research, New Mexico Highlands University, Las Vegas, New Mexico 87701.
                                3-1

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suggested here also apply to that area of developmental psychopharmacology.
Since this paper is primarily concerned with the consequences of the toxicant
on the developing offspring, only a sampling of studies which  administer the
toxicant  postweaning are presented.  This  procedure  has been adopted  pri-
marily to provide the reader with some insight regarding the ages of the adoles-
cent or adult  organism  at which each of the toxicants has  been studied. In
addition, the  paper  concentrates on .behavioral studies outside the realm of
electrophysiology/neurophysiology.

Developmental Models of Mercury Exposure

Prior to detailing studies on this toxicant, a brief explanation of the tabular
format  is necessary. In Table 3-1, which will serve here as an example, the
fourth column, "Parent," indicates which parent was exposed to the toxicant;
the "Premate  Exposure" column reflects whether or  not the parent was pre-
exposed to  the toxicant prior to mating and the  duration of  such exposure;
the "Gestation Exposure" and "Nursing Exposure" headings reflect exposure
during those  periods with  the time  of exposure  indicated. Horizontal lines
continuing through columns reflect continued exposure  over  more than one
developmental period; in the "Postweaning Exposure" column, the day indi-
cated reflects when treatment,  not behavioral testing, was initiated. In this
column, studies were grouped under "Adult" if only the  weight  range of sub-
jects was provided with no indication of age.

Most of the behavioral studies on mercury  have employed postweaning expo-
sure,  including a large number of studies on monkeys (e.g., Evans et a/., 1974;
Helberg and Nystrom, 1972; Vitulli, 1974; Berlin et a/., 1973; and Berliner a/.,
1975) and birds (e.g., Beliles et a/., 1967, 1968; Rosenthal and Sparber, 1972)
not  included  in this review. Most of  the gestation-only  studies exposed the
pregnant female during critical days of organogensis. Thus Hughes and Annau
(1976) orally  dosed pregnant females on  day 8 of gestation,  Sobotka et at.
(1974) intubated mothers on days 6-15 of gestation, while Spyker ef a/. (1972)
administered  intraperitoneal injections to pregnant mice on days 7 or 9. Both
the Sobotka et al.  (1974)  and Spyker et a/. (1972) studies  point toward the
sensitivity of  the neuromotor systems to  mercury. Sobotka et al. (1974) re-
vealed that both eye opening and clinging ability developed earlier in  neonates
of mercury-exposed dams, while Spyker eta/. (1972) found both differences in
open-field  behavior  and  disrupted  swimming  ability of mercury offspring.

In terms of assessing contribution of in utero exposure, both of these studies
were confounded  in terms  of mercury carryover into nursing. Cross-fostering
procedures  have been  employed to partition out this contribution  (Zenick,
1974; Spyker, 1975; Hughes and  Annau,   1976).  Spyker found that survival
rate was enhanced if offspring exposed during gestation were  nursed by  con-
trol  mothers  (74.4  percent) as compared  to noncross-fostered counterparts
(57.3 percent).  This result  suggests that the residual  mercury carried over in
the mother's  milk was  sufficient to have  adverse  consequences  for  that off-
spring. This deleterious, residual  effect was further confirmed by discerning
a depressed weaning weight in young born of control mothers and cross-fos-
tered to treated mothers.   In addition, motor disturbances became  increas-
ingly evident  with age in  both prenatal  and postnatal  exposed groups. No

                                  3-2

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Table 3-1. DEVELOPMENTAL MODELS OF MERCURY EXPOSURE
Author Species
Salvaterra eta/., 1973 Ma
Morganti eta/., 1974
Morganti eta/., 1976
Klein & Atkinson, 1973 R
Klein eta/., 1974 R
Braun & Synder, 1973
Sobotkaef a/., 1974 R
Hughes 81 Annau, 1976 M
Spykereta/., 1972 M
Spyker, 1975
Post eta/., 1973 R
Zenlok, 1974; 1976 R


aM|ce
bRats
Postweaning exposure
(days of age)
1 1 1
Parent Premate Gestation Nursing 34568025
Route 6 9 exposure exposure exposure 00000000 Adult
Ip - - - - 42
- - - - 42
- - - - 42
Diet - - - 25
Water - - - - 25 X
Ip or iv — — — — X
Oral 9 - 6 	 25
Oral 9 - 8
ip 9 7;9
7;9;12;13
Oral - - - 15;21 60
Water 9 - 1 	 21
1 	 21
22-30




-------
behavioral data other than neuromuscular assessment  was reported on these
older animals. On the  other  hand, Zenick  (1974)  and  Hughes and  Annau
(1976) found no effects on offspring weight or behavioral tasks in the cross-
fostered young exposed only to this residual; however, these studies did con-
firm the detrimental influence of in utero exposure.  In the Hughes and Annau
study (1976), mice exposed to  methylmercury in utero exhibited deficits in
a two-way active  avoidance shuttle  box and in a punishment situation.  No dif-
ferences were observed on a conditioned suppression task, in an open field, or
in a water-escape runway. The failure to see effects on the latter two tasks con-
tradicts observations made by  Spyker et at. (1972). Hughes and Annau (1976)
also tested the mothers of  the  progeny as well  as offspring  of the progeny
themselves. Neither group of  subjects exhibited deficits, suggesting that mer-
cury had  more  obvious deleterious consequences  during in  utero exposure
leaving the treated mother unaffected; and,  furthermore,  the effect was res-
tricted to the generation in which exposure occurred.

Zenick  (1974) contrasted  the effects of mercury exposure administered to
independent  groups at different periods of development. Potential mothers
were exposed either  during gestation or while nursing (treatment begun at
parturition),  or offspring were directly exposed beginning at weaning, day 21.
As noted  above,  cross-fostered groups were  also employed. Results indicated
that offspring of mothers exposed during  gestation  and offspring exposed
directly to mercury  at weaning exhibited  learning deficits on a brightness
discrimination task begun at 30  days of age.  These deficits also appeared in a
retest session 21  days later.  Offspring of mothers exposed during nursing only
and offspring exposed only to the  residual mercury in the milk were not dif-
ferent  from controls  on the learning task. However, in a  subsequent study in
which visual  evoked potentials were recorded (Zenick,  1976), the nursing-only
offspring were relegated to the "affected"  category.  The evoked potential
data reinforces the concept  of employing a battery of tasks in assessing critical
periods of exposure and suggests that the sensory evoked potential may be as
sensitive, if not more so, than other behavioral assessment techniques.

The effect of exposure during  nursing, as contrasted with postweaning, has
also been assessed by Post et al.  (1973) who forcefed a single dose of mercury
to either 15-, 21-, or  60-day old  rats. No changes in discrimination learning or
open-field  behavior were observed in the nursing-exposed pups, while post-
weaning-exposed  rats (60 days of  age) were significantly different from con-
trols on both tasks.  These findings are in  agreement with  Zenick  (1974).

Olson and  Boush (1975) examined the effects of prolonged-multiperiod expo-
sure within the  same animal  by feeding mercury to female rats throughout
gestation and nursing, then maintaining the pups on the same diet throughout
behavioral  testing at 68 days of age. These mercury  offspring exhibited re-
tarded maturation  of swimming behavior and the  righting  reflex and made
significantly more errors than controls on a symmetrical maze task.

Data on mercury seem to suggest that exposure during gestation or postwean-
ing  is sufficient to produce an effect on  a number of  tasks. The influence of
early postnatal exposure via the mother's milk is still  uncertain; however, in
                                   3-4

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conjunction with gestation exposure, treatment during nursing may create the
most potentially hazardous setting for the offspring.

Developmental Models of Lead Exposure

A greater variety of developmental models have been employed in examining
the behavioral effects of lead exposure than in studying either mercury or pes-
ticides.  There are at least two reasons for this situation: the adult animal has
not served as a good model for examining the effects of low-level lead exposure
because the adult exhibits extreme  resistance to the CNS effects of  lead poison-
ing, requiring very large dosage of  lead to produce even slight clinical manifes-
tations  of CNS  toxicity.  Secondly, because of its early widespread use, lead
toxicity  via  pica posed  a very  real environmental  threat for the developing
child, especially  those living in older, substandard housing.

Frequently employed developmental models are shown in Table 3-2. Although
no lead study has recorded behavioral measures on pups exposed in utero only,
a suggested differential sensitivity of this period as compared to nursing may be
gleaned from a  study by Snowden (1973).  In that experiment, mothers were
injected  ip  with lead either thoughout pregnancy or throughout nursing, or
pups were directly  exposed to lead by injections for 37 days beginning  at 22
or 100 days of age.  The postweaning injections had no effects on maze  learn-
ing.  However, females injected during  pregnancy did not give birth to viable
offspring; whereas the same dosage administered to mothers during nursing did
not produce any fatalities, but it did lower the pups' body weights  and increase
their errors on  a maze  task. Although there may be a confounding between
route of  exposure,  namely ip injection, and critical period, the study does
suggest  a  need to examine more closely the contribution of gestation exposure
in terms of increased sensitivity to lead.

A developmental model developed  by Pentschew and Garro (1966) has become
the prototype for studying developmental lead toxicity. These authors were
able to  produce CNS lesions in pups sucking a dam exposed to 4-5  percent lead
carbonate in her daily diet. Unfortunately, direct access to the maternal diet by
the pups was possible at approximately 18 days of age, resulting in the appear-
ance of clinical  symptoms (e.g., retarded body weight, paralysis, etc.) in the
offspring at 20-30 days of age. A procedure to correct this methodological flow
and  incorporate other needed controls has been presented by Michaelson and
Sauerhoff  (1974a, b).  However, the Pentschew and Garro model (1966) has
left a definite impression as witnessed by the large number of papers employing
the nursing exposure model to assess the effects of lead (Table 3-2). Many in-
vestigators, therefore, assume that  the oral ingestion of lead (via milk) is analo-
gous to the pica route of lead-containing materials by human infants (Michael-
son and Sauerhoff, 1974a).

Sobotka and  his colleagues  (1974, 1975) have taken a somewhat different
approach  to nursing exposure in that they directly intubated the pup beginning
at day 2-3  and  continued this exposure until weaning. Direct intubation of
pups during nursing  has also been done by Goiter and Michaelson (1975). Pups
exposed  to lead exhibited an attenuated  response to amphetamine-induced
                                  3-5

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Table 3-2. DEVELOPMENTAL MODELS OF LEAD EXPOSURE
Author Species
Avery etal., 1974 Ra
Shapiro et al., 1973 R
Bullock etal., 1966 Rfe
Terzin & Vujkov, 1968 M
Sobotka & Cook, 1974
Sobotka et al., 1975 R
. «n-,E D
C7>
Snowden, 1973 R
Brown etal., 1971 R
Route
Oral
IP
IP
ip
Oral

oral,
or
ip
(pup)
IP
ip
Postweaning exposure
(days of age)
1 1 1
Parent Premate Gestation Nursing 34680258
d ? exposure exposure exposure 00000000 Adult
- - - - X
- . 90
- - - - X
- 120
- 3 	 21
9 1 01
1 	 10
11 	 21
- 1 	 21
1 	 21
22
100
8 21 35
                                                           (continued)

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                          Table 3-2. DEVELOPMENTAL MODELS OF LEAD EXPOSURE ( continued)
Author Species
Sauerhoff &
Mlchaelson, 1973
Mlchaelson &
Sauerhoff, 1974a,b R
Goiter & Mlchaelson, R
1975
Silbergeld & Goldberg,
1973, 1974a,b, 1975 M
Drlscoll & Stegner, 1976 R
Zenick eta/., 1978a,b R
Padich & Zenick, 1977 R
Reiter, etal., 1975 R
Brady eta/., 1975 R
Route
Diet
Diet
or
oral
(pup)
Water
Water
Water
Water
Water
Oral
Postweaning exposure
(days of age)
1 1 1
Parent Premate Gestation Nursing 34680258
<3 9 exposure exposure exposure 00000000 Adult
9 1 75

- 9
9 1 91








22 	 42



9 1 91

Rats
Mice

-------
increases in activity and deficits in a two-way shuttle box (Sobotka and Cook,
1974) and in a habit-reversal task (Sobotka et a/., 1975). Sobotka has suggested
that the advantages of this technique were that "this approach avoids the con-
founding variables of maternal effects of lead  and also affords a more effec-
tive means of determining the dose of lead that each pup receives {Sobotka
et al.,  1974).  However, the technique does have  its  disadvantages in that it
results in  the  delivery of  the  lead dosage as a  single  bolus into the stomach,
altering the parameters of absorption from that which would be observed with
a slower rate of intake spread  over a greater period of time each day. Further-
more, we  have observed that intubation can be stressful to the animal (Brady
et at. 1975), and this stress may have an indirect, differential effect on  lead-
treated pups.

Brown administered lead during nursing either to the  mother, by  gavage  or in
her drinking water, or to  the  pup directly, ip. Irrespective of route, Brown
(1975)  found  a significant performance  deficit on a T-maze discrimination
task when pups were tested at 8-10 weeks. Furthermore, by contrasting groups
exposed during days 1-10 with pups exposed during days 11-12, Brown noted
that exposure was necessary during the first 10 days in order for lead to exert a
detrimental  influence. Since blood lead levels were significantly higher in the
1-10 day  old  pups, as compared to 11-20  day lead pups or controls. Brown
(1975) suggested that the increased sensitivity of this group may, in part, be a
result of age-related differences in uptake, distribution, and retention of  lead.

The influence  of nursing exposure has also been  investigated by Michaelson and
coworkers (Sauerhoff and  Michaelson, 1973; Michaelson and Sauerhoff, 1974a;
Goiter and Michaelson, 1975; Bornschein et  al.,  1977). These studies, however,
were not nursing-only exposure in the truest sense because the pups were con-
tinued on the treatment following weaning and throughout testing. It is possi-
ble that this direct  exposure at what was  still a relatively young age (21  days)
may also have exerted  detrimental  effects. Aside from this consideration,
Michaelson's group found  changes  in activity levels of the lead-exposed off-
spring as compared  to controls. However, they also noted that an interaction of
lead and a state of  undernutrition in the pup (induced by the decreased  food
intake by the lead mother) must be considered in interpreting the data (Born-
schein et al., 1977). In fact, this retarded body weight of pups appears consis-
tently  across  laboratories that employ dosages in the range of the Pentschew
and Garro study (1966).

The opportunity to contrast  the combined nursing and  early  postweaning
exposure with nursing-only exposure has been investigated by Silbergeld and
colleagues in  a series of papers.  Her treatment groups  consisted of pups ex-
posed   to lead only  while nursing via the mother's milk or pups which  were
exposed while nursing  as well as  after weaning, throughout testing.  While
Silbergeld reported a decreased weight  in the former  group  until  it was
switched to the control fluid,  the report on the behavior of these offspring is
still not clear: "Motor activity was also measured in  offspring removed  from
the lead solutions of 10 mg/ml at weaning.  Four out of the six mice measured
                                  3-8

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showed increases in  motor activity comparable to those seen in mice main-
tained  on lead. However, two of these six mice had activity levels not signi-
ficantly higher than those of controls" (Silbergeld and  Goldberg,  1973). A
similar  statement  on  this group's  behavior was  made  in a second study
(Silbergeld and  Goldberg, 1974) which rather  than being a replication of
earlier  work, involved  an additional manipulation made on the same animals.
It is apparent that additional work with the group exposed only during nursing
(and larger N) is necessary to confirm the deleterious effect of such exposure.

The question of developmental versus direct postweaning  exposure has  also
been addressed in a study by Padich and Zenick (1977) which employed four
groups: Group Pb/Pb,  mothers pretreated with lead and continued  on  lead
during  gestation  and  nursing  with  the offspring  continued on  lead  after
weaning and throughout testing (developmental and direct exposure); Group
Pb/C, offspring developmentally exposed only; Group C/Pb, offspring exposed
directly only; and Group C/C, no lead exposure. Significant differences were
found  between Groups Pb/Pb and C/C on a fixed ratio (FR20) bar press task;
however,  exposure of  the offspring during gestation and  nursing only (Group
Pb/C)  or during postweaning only (Group C/Pb) did not result in  any impaired
performance on the FR task, nor was their performance different from con-
trols under fixed-interval  schedules (Zenick et a/., 1978a). However, the Pb/C
offspring  have been shown to be inferior to controls on discrimination learning
tasks (Brady et a/., 1975; Zenick et a/., 1978b). Thus it appears that for some
tasks a combined developmental/direct exposure is necessary for lead to exert
an effect. As suggested earlier, this may contribute, in part, to the effect seen
by Michaelson in animals continued on treatment following nursing-exposure
(Michaelson  and Sauerhoff,  1974a;  Sauerhoff and Michaelson,  1973; Goiter
and Michaelson, 1975).  In any  event, these findings suggest that any conclu-
sions regarding critical  exposure periods and lead susceptibility must be quali-
fied with  regard to the  instrument of measurement.

Encompassed in a large number of developmental lead studies have been some
unique experimental manipulations  rarely reflected in the study of other toxi-
cants.  These manipulations include assessing the  effects of prolonged maternal
exposure  (Driscoll and Stegner, 1976; Reiter et a/., 1975a;  Brady eta/., 1975;
Padich  and Zenick, 1977; Zenick et a/., 1978a, b)  and the contribution of
paternal  exposure  (Brady et a/., 1975).  Driscoll and  Stegner  (1967)  have
assessed the  influence  of chronic exposure by administering lead throughout
gestation  and nursing  while Reiter et a/. (1975) and Zenick et a/.  (1978a, b)
have extended this  period  backward  to  include parental  exposure prior to
mating.  In  Reiter's  laboratory,  this  "premating  exposure" incorporated  pre-
treatment for a period of 40 days to allow lead  concentration to approach
steady states. This objective  has been included  in the rationale employed in
our laboratory; however,  it is  only a part of a philosophy which assumes that
the potential mother may have existed in the toxic setting for some time prior
to mating, conceivably her entire life. As a consequence, there  may be a build-
up and storage of the toxicant  in her system, resulting  in another potential
source to which the  fetus or  pup may  be exposed  in addition to the mother's
daily dosage. Subsequent to mating, the mother continued in this environment
during  gestation and nursing. This hypothesis has led to the current model
                                 3-9

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 employed in our laboratory that is presented in Table 3-3. Such a model incor-
 porates premating exposure while contrasting developmental versus direct toxi-
 cant exposure on offspring behavior. A cross-fostering manipulation is also in-
 cluded.  In addition,  assessment  is  made  throughout the life of the animal  in
 order  to evaluate  permanence as  well  as  detect  any late-occurring  effects.

 Another  manipulation  in studying developmental  lead toxicity has been the
 attempt to partial out the parental contribution. A study conducted by Brady
 et  al.,  (1975),  employing a  pretreatment model, contrasted the effects  of
 exposing both potential parents  to lead with exposure of the mother or father
 only. Analysis of offspring behavior on  a  water-escape T-maze  task revealed
 that the three lead groups made more  errors than the controls but  did not
 differ from  one another. However, offspring resulting   from dual parental
 exposure had longer  swimming times than the single-parental  exposure groups
 who, in turn, were slower than  the controls. The finding of a  paternal-only
 effect has since been replicated in  our laboratory.  The ramifications of such a
 finding may be far-reaching. For instance, limitations on employment of preg-
 nant women in industry are common; however, the Brady et al., (1975)
 findings suggest  that the standards for  men  may  also need further consider-
 ation. At the very least, the question of paternal  influence merits further  in-
 vestigation.

 Although  not  reported  in Table 3-2, there have been a number  of behavioral
 studies  examining lead  toxicity which  have employed  species other than
 rodents as subjects, the most notable effort being a series of investigations  by
 Van Gelder  and colleagues employing  sheep as an experimental model. They
 examined the effects of lead  administration  to the  adult  (Van  Gelder et al.,
 1973),  exposure in  utero plus  carryover  (Carson et al.,  1974a),  and early
 postnatal treatment  (Carson et al., 1974b). Employing a series of measures,
 the group has found  deficits primarily on a visual discrimination task in lambs
 that had been exposed in utero.  These animals were tested at  10-15 months of
 age subsequent to prenatal exposure, reflecting a disruption of behavior in the
 absence of elevated  blood lead levels,  suggesting that lead  exposure during
 gestation is sufficient to induce  permanent debilitation. This aspect of the per-
 sistence of an effect  in the absence of elevated toxicant levels is a critical issue
 that has been neglected by researchers in this area. This point will be addressed
 more directly in the final section  of this chapter.

, Finally, a study with infant  monkeys  by Allen et al.  (1974) should be men-
 tioned, since one phase of the study closely simulated lead poisoning via pica.
 In  that study,  infant  rhesus  monkeys  were  housed for three  months with
 surrogate  mothers having a  lead  base  (other infants  received lead via their
 formula).  As Allen et al. (1974)  notes, "throughout this period the infants
 scratched, licked, and rubbed the lead bases," an interaction with their environ-
 ment that closely mimics pica. The research team observed neuromuscular and
 visual  impairments and altered social behavior with the latter symptom persis-
 ting when external lead exposure  was eliminated. These effects were not ob-
 served  in adolescent  or  adult monkeys receiving similar dosages.  These results
 again reinforce that  view of  the  increased susceptibility  of  the  developing
 organism to low-level exposure as contrasted with its adult counterpart.
                                   3-10

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    Table 3-3. A MODEL TO CONTRAST DEVELOPMENTAL/DIRECT EXPOSURE
                                      Postweaning exposure
 Premate
 exposure
Gestation
exposure
Nursing
exposure
                                         Adolescence
                                                       Middle age
                                                                   Old age
 Day21-dav90   1	21     1-
                                    -21
      C	C •
                                Pe-
                                           eress-fostered  to
                                           partial out  gesta-
                                           tion from nursing
                                           Influences
  T = Toxicant.
 In summary,  although there have been a number of developmental studies of
 lead toxicity, many questions remain unanswered, especially the contribution
 of in utero exposure. Future use of cross-fostering techniques may shed some
 light on the  influence of gestation exposure  alone. Furthermore, there is a
 need to do more extensive long-term chronological assessment.

 Developmental Models of Pesticide Exposure

 Review of Table 3-4 will reveal that the number of developmental studies on
 the  effects  of pesticides on behavior  is scant compared to the number of
 investigations of the heavy metals. This dearth of developmental work is rather
 paradoxical,  since initial  concern over  pesticide toxicity has given the overall
 area of environmental toxicology possibly  its  greatest impetus. Many  of the
 studies of pesticides  examined  only their anticholinesterase  properties for
 delineating the role of acetylcholine in the CNS and have ignored their toxic
 effects. There are several articles available  on  these studies, the most  recent
 being a review by Bignami  et a/. (1975). Since these  studies have been done
 almost exclusively in  adult animals, they will not be considered in this chapter.

 The  influence of DDT  and Parathion  exposure during gestation  has been
systematically studied by AI-Hachim and Fink (1967; 1968a, b, c). In their
 investigations, groups  of female  rats were  exposed  to DDT during different
                                   3-11

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trimesters of pregnancy. They observed a delay in the acquisition of a condi-
tioned avoidance response in offspring of mothers treated  during either the
second or third trimester of pregnancy (AI-Hachim and Fink, 1968b). How-
ever, since the animals were tested at 30 days of age, AI-Hachim suggested that
this differential  effect may have been a result of greater opportunity for the
accumulation of DDT  (via placenta and/or mother's milk) in  offspring exposed
at later points  in gestation, since they failed to see effects  of DDT on open-
field  behavior  (AI-Hachim  and  Fink,  1968c) in animals tested  after post-
weaning  (60-66 days  and  70-90 respectively).  Unfortunately,  rather  than
employing different tasks, it would have been necessary to assess conditioned
avoidance responding  in older animals before contributing  only a transitory,
biochemical effect  to  gestational DDT exposure.  It is possible that the later
stages of pregnancy do reflect an increased vulnerability above and beyond the
simple fact of increased accumulation of DDT.

In the only  factorial manipulation of developmental pesticide exposure, Craig
and  Ogilvie (1974) contrasted  the  effects of exposure during gestation  and
nursing with exposure  to DDT  during either gestation or nursing only. This
later manipulation was achieved by employing cross-fostering procedures. One
of the points which  was not clear from the study was whether the  DDT
mothers  remained  on  treatment during  nursing  or  whether treatment  was
discontinued at birth so that nursing-only exposure more  accurately reflected
a gestation  carryover;  (the cross-fostering design is addressed in greater detail
in the next section. Interestingly, Craig and  Ogilvie  (1974) found that DDT
administered during either gestation or nursing resulted  in offspring  perfor-
mance that  was either equivalent or superior to controls on a series of depen-
dent measures  of maze learning. On the other hand, the combined gestation-
nursing exposure resulted in inferior performance as compared to controls.

One conclusion that might be drawn  is that DDT is toxic only if exposure
occurs during both gestation and nursing.  However, Craig and Ogilvie  (1974)
forwarded the hypothesis that the differing  performances were a result of a
dose-related, biphasic effect of DDT. Essentially, since the single periods were
of shorter duration, the offspring were exposed to a cumulatively lower dosage
than their  dual-period-exposure  counterparts. Craig  and  Ogilvie (1974) sug-
gested a biphasic  phenomenon, with lower dosages of  DDT (gestation or
nursing only) being stimulatory  and higher dosages (gestation and nursing ex-
posure) interfering  with performance. This dose-response hypothesis is similar
to that noted above by AI-Hachim.  However, one point that should be noted
is that Craig and Ogilvie (1974)  began testing their rats at 49 days of age and
retested them one month later.  Since treatment was discontinued at weaning,
it was possible that the concentration of  DDT was extremely low or absent
during testing.  The ability of the compound to exert a stimulatory or inhib-
itory  influence in light of this is puzzling. However, the data are suggestive of
a need to more closely examine the relationship between dose and period of
exposure. Furthermore, this study is one  of the few where an attempt  was
made to assess permanence of an effect via a test-retest design. (See the follow-
ing section).
                                   3-12

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                               Table 3-4. DEVELOPMENTAL MODELS OF PESTICIDE EXPOSURE


Author
Pearson eta/., 1969
Clark & Pearson, 1973
Clark etal., 1971
Russel eta/., 1961
Relter etal,, 1973
Khalry, 1959
Peterle & Peterle, 1971
Sobotka, 1971
V AI-Hachim Si Fink, 1967
CO

AI-Hachim, 1971




Woolley, 1970




Pesticide

Disyston
Dlsulfoton
Systox
Parathlon
DDT
DDT
DDT
DDT
Parathion

Aldrin




DDT




Species

R
M
R
M
R
M
M
M


M
M



R



Parent
Route d 9

Diet -
Diet
Diet
In tub ate —
Diet -
Diet
Intubate —
Intubate 9


Intubate 9




Diet 9


Postweanlng exposure
(days of age)
1 1 1
3468025
Prematlng Gestation Nursing 0000000 Adult
30
_ - - X
42
- - - 100
- - - X
- 120
- 130
_ - - X
- 1-7
7-14
14-21
14-21
1 91
1 	 21 a




(Several
days?)
aCr oss-fostered.

-------
There has been only one prolonged developmental exposure study using DDT
(Woolley, 1970) in which potential mothers were exposed prior to mating with
exposure  continued throughout  gestation and  nursing. The  offspring were
then  maintained on  the  treatment for the duration of the study. Unfor-
tunately, only limited behavioral assessment was done, with the main effect
of DDT being to counteract the ability of strychnine to increase the intensity
of electroshock seizures.

In addition  to the  rodent, a number of other species have been employed in
assessing the effects of pesticides in postweaning animals. Several studies have
used the monkey (Reiter et at., 1975b; Smith et al., 1976; Lattal and Wilber,
1971; Revzin, 1970), and  a series of studies in sheep have  been summarized
by Van Gelder (1975).

This review  of pesticide literature reinforces the urgency to gain greater insight
into the  developmental  influences of pesticides. The small number of develop-
mental studies, limited dose-response data, and poverty of behavioral measures
make conclusions regarding the developmental consequences of pesticide ex-
posure premature.

Future  Directions in Developmental-Behavioral Toxicology

Although there  have  been only a few studies which have employed cross-fos-
tering techniques  (Zenick, 1974, 1976; Spyker,  1975; Hughes and Annau,
1976; and Craig and Ogilvie,  1974), the  necessity of  such  a manipulation is
essential in evolving a more complete picture of the interaction of a particular
toxicant with the  various periods of development. The design  for cross-fos-
tering and foster-rearing has been succinctly described by Spyker (1975) and
in essence consists  of placing pups at birth with  mothers of opposing treat-
ments (cross-fostering)  or  same treatment (foster-rearing), the latter being a
control  manipulation.  Other  pups may remain  with their natural mothers.
Such manipulations may not only partial out the  influence  of gestation versus
nursing  exposure, but also separate the direct effects of the agent on the off-
spring from effects on  maternal behavior towards the  offspring. Such a mani-
pulation  provides  a clearer concept of  necessary and/or  sufficient periods
during which toxicant exposure can have  adverse consequences for the off-
spring. This information  is vital for prophylaxis. The nature of the prophy-
lactic treatment' will vary depending on whether exposure during gestation
only, nursing only, or both periods is  sufficient  to cause damage  to the off-
spring.

 Although the cross-fostering manipulation  appears relatively straightforward,
there is some inconsistence  in the manner of treating the treatment mother.
 Most studies cease treatment for  all  mothers  at parturition.  Subsequently,
pups cross-fostered on a treatment mother are exposed only to residual toxi-
cant carried  over  from gestation. This arrangement  is different  from ones
involving treated mothers maintained on the toxicant during nursing. Studies
employing  the  "residual" model cannot as readily  conclude in the face of
 negative findings that nursing exposure does not exert an effect. The reduced
dosage and length  of exposure may mask an effect that would appear with
                                   3-14

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actual,  full nursing exposure. Future  researcners addressing the question of
critical  periods need to  be alerted to the differences that may be obtained
depending upon which cross-fostering technique is employed.

 In terms of assessment there appears to be another gap in our research efforts.
Table 3-5  contains a list of studies that have employed either chronological
or test-retest assessment and/or have run toxicant determinations for the pur-
pose of testing the animal in the absence of elevated levels of the toxicant. The
brevity of this list is quite discouraging  although  some  studies  have been
omitted where testing was delayed long enough  to assume  the  absence of the
toxicant  (e.g., Sobotka et al., 1975; AI-Hachim, 1968a, c; and Hughes  and
Annau, 1976).
     Table 3-5. STUDIES USING CHRONOLOGICAL OR TEST-RETEST AND/OR
 	TESTING IN THE ABSENCE OF HIGH TOXICANT LEVELS	

                       Chronological or                  Behavioral deficits in
 Toxicant                 test-retest                     absence   of  compound

                       Spyker, 1975                    Zenick, 1974, 1976

 Mercury
                       Zenick, 1974, 1976

                       Sobotka eta/., 1975               Brown, 1975
 Lead
                                                      Carson eta/,, 1974b

                       Craig and Ogllvie, 1974
 Pesticides                                             	
The value of chronological  assessment is essential, for  it is conceivable that
certain disturbances  may  be delayed or  lie dormant only to  appear later in
life. This situation has certainly been documented for mercury  (Spyker, 1975).
On the other hand, deficits  revealed in young may disappear with age. Reiter
et al.  (1975) has  suggested  that a  maturational  lag may account for  such
behavior. The test-retest design also fits into this scheme in terms of reflecting
permanence of a deficit.

In  conjunction  with these experimental manipulations, analyses of toxicant
levels  need to be conducted at various  times during testing.  As long as the
compound persists in the system,  the possibility of a reversible, biochemical
lesion  exists. Deficits  persisting in the  absence  of  the compound suggest a
more pathological and likely  irreversible effect.

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                                    3-20

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                                    3-21

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       4. METHODOLOGICAL PROBLEMS
    ASSOCIATED WITH  THE EXPOSURE
      OF NEONATAL  RODENTS TO LEAD


   ROBERT  L BORNSCHEIN AND I.ARTHUR MICHAELSON
        Laboratories of Behavioral and Neurochemical Toxicology
                       Division of Toxicology
                 Department of Environmental Health
              University of Cincinnati College of Medicine
Introduction

The more dramatic, harmful effects of pediatric lead encephalopathy are well
recognized. Ample supporting evidence of a dangerous body burden can be
found whenever the  blood lead exceeds 80 to 100 fig lead per 100 ml. The
central  nervous system is a prime target following acute high level exposures.
Inhibition of heme synthesis and proximal tubular injury can also be detected.

Until recently lead poisoning has been defined as a public health problem only
for those children living in  inner city metropolitan slum areas. However, the
definition of the  population at risk needs re-evaluation. The concentration of
inorganic lead  in our immediate environment is on the increase  (Patterson,
1965).  Young  children are being chronically exposed to low levels of lead in
their diets, in the air they breathe, and in the soil and dust which are found
in their play areas (Cohen et a/.,  1973; Vostal et a/., 1974).  This chronic low-
level  exposure  is  being reflected in elevated blood lead levels in the range of
30 to 60 jug/100 ml (Caprio et a/.,  1974).  Furthermore, recent studies indi-
cate that such elevated blood lead levels are not uncommon in children growing
up in rural areas (Fine eta/., 1972). Therefore the population at risk as a result
of undue lead  exposure is not restricted to just those children living in the
inner city.
*Supported by NIEHS Grants ES-02614 (RLB) and ES-01077 (IAM).
                              4-1

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A major question from the  public health point  of view is: What effect does
excessive lead  absorption have  on  mental development  among those who
never develop encephalopathy or any other overt symptoms of poisoning? At
present there is good reason  to believe that adverse effects may be particularly
marked when exposure occurs during the period of central  nervous system
development in early childhood. For example, Byers and Lord  (1943) reported
retarded mental development in  lead-poisoned  children  without encephalo-
pathy, and  Albert et al. (1974) found deficits  in intellectual maturation in
asymptomatic lead-exposed  children. However,  we have  very little  reliable
information concerning the  potential neurotoxic effects of chronic low-level
lead exposures, even though there have been indications from clinical studies
that such exposures during early childhood may  produce behavioral and intel-
lectual impairment (de la Burde and Choate, 1972).

Clinical studies which attempt to derive data from asymptomatic pediatric
populations are fraught with  numerous methodological problems. For example,
although a child may exhibit an elevated blood lead level at the time of exami-
nation, we usually have no  indication of that past history of lead exposure,
either with  respect to  the maximum level obtained, the duration of the lead
exposure, or the  timing of the exposure relative to various critical aspects of
central nervous system development.  Furthermore, we usually have no measure
of  the child's intellectual development prior  to the onset of lead exposure.
Because of these problems, there has been considerable research effort devoted
to the development of an animal model for asymptomatic neonatal lead expo-
sure. Most experimental animals are resistant to the effects of lead on the
brain. A review of the literature on this subject shows an amazing resistance of
the  adult animals to lead poisoning (Pentschew, 1958).  However, our work
and that of others indicate that if lead is given to newborn rodents, they suffer
impairment in central nervous system function.

Table 4-1 provides a brief overview of some of the animal models used to in-
vestigate the effects of lead on the developing nervous system. It is apparent
that there is a great diversity in exposure parameters such as route, level, and
duration as well  as timing  of exposure  relative to age.  Unfortunately, the
blood, brain, and whole body burdens which result from  these various expo-
sure  techniques have not been  well documented.  In addition,  the range of
behaviors examined in  lead-exposed animals has  been rather limited. This limi-
tation is unfortunate since, as mentioned previously, animal models may pro-
vide insight into the relationships between level and timing of lead exposure
and resultant body  burden, behavioral  effects,  and duration of effects. The
purpose of this paper  is to identify some of  the inherent methodological
problems associated with experimental neonatal  lead exposure. We also intend
to  suggest strategies which  should be  of use in overcoming some  of these
problems.

Methods of Lead Exposure

A common method of exposure is to treat the  neonate by daily oral intuba-
tions, permitting  a  relatively accurate estimate of daily exposure.  This tech-
nique has  several  inherent  disadvantages,  including: (a) delivery of  a single
                                  4-2

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                             Table 4-1. PROTOCOLS USED TO STUDY EFFECTS OF LEAD ON ANIMAL BEHAVIOR
CO

Reference
Brown eta/., 1971

Brown, 1975

Brady eta/., 1975
Goiter 81
Mlchaelson, 1975
Mlchaelson &
Sauerhoff, 1974
Reiter eta/., 1975

Shapiro eta/., 1973

Snowden, 1973
Sobotka ef al., 1975

Morrison et al., 1975
Silbergeld Si
Goldberg, 1973
Terzin Si Vujkov, 1968
Carson eta/., 1974

Van Gelder eta/., 1973

Allen eta/., 1974
Goods &
Calandra, 1973

amg/kg of Pb ip
bmg/kg of Pb po
cppm of Pb in diet
dppm of Pb in water

No.
1

2

3

4

5
6

7

a
9

10
11
12
13

14

15

16

R =
M =
S =
P =
Lactatlng Pb concentration JLtg%
dam Neonate Weanling Adult Blood Brain M||k
R 100a

R 4.1a 198-257

R 500b

R 1b 40C 225 48

R 27,300° 25C 50 2500
R 5 & 50d 5 Si 50d 5 & 50

R 0.16-0.96a

R 5, 8, 12a 5, 8, 12a
R 5, 15, 44b 18-71

M 1090-5500d 1090-5500d 1090-5500d
M 1090-5500d 1090-5500d 1090-5500d
M 7-36a
S 5,19,35

S 55b

P 2.1-5.1° 100-500

P 0.05, 0.5 0.05, 0.5 45-82
Si5.0b & 5.0b
Rat
Mouse
Sheep
Monkey
Behavioral
measu res
Water maze and
shuttle box learning
T-maze learning,
locomotor activity
Water maze learning

Locomotor activity

Locomotor activity
Reflex development.
locomotor activity
V.I. 30 sec operant
discrimination
Hebb-Wllllams maze
Locomotor activity,
shuttle box learning
Consumatory behavior
Locomotor activity
Locomotor activity
Visual discrimination
learning
Auditory signal
detection task
Social behavior

Delayed and condi-
tioned response





-------
bolus of the agent with a short transit time through the gastrointestinal tract,
(b) large periodicity in resultant blood  lead concentrations, (c) trauma asso-
ciated with daily forced feeding, and (d) considerable expenditure of time and
effort by the experimenter. Our interest in chronic exposure and the detection
of any resultant behavioral alterations precludes such a method of exposure.
For these reasons we have chosen to expose neonatal rodents to toxic agents
via the dam's milk. This approach is currently  utilized by several investigators
exposing rats and  mice to  inorganic lead  (Brown, 1975; Maker et al., 1975;
Silbergeld and Goldberg, 1973; Goiter and Michaelson, 197.5), DDT  (Fahim
et al., 1970), and methylmercury (Brown et al., 1972). Although this indirect
method of exposure mimics the usual oral route of entry into the body and
avoids the disadvantages of oral intubation, it is difficult to estimate the daily
lead exposure of the rapidly developing neonate. This difficulty  in turn has
hampered development of  animal  models with  realistic  levels of exposure
relative to the human pediatric population. Furthermore, it has been difficult
to compare this model to  others using direct injection or intubation proce-
dures.

Investigators who use the lactating dam as a vehicle for delivery of lead usually
report only  the concentration  of the agent in the dam's drinking water  or food
(Brown, 1975; Maker et al., 1975; Silbergeld and Goldberg, 1973;  Goiter and
Michaelson, 1975).  Few  report  milk lead concentrations (Michaelson and
Sauerhoff, 1974; Goiter and Michaelson, 1975). None have attempted to esti-
mate  the daily amount of lead ingestion by the suckling. While it is relatively
easy  to determine milk lead concentrations, it is  much more difficult to esti-
mate  the  amount  of milk consumed  by the suckling. There are several tech-
niques available  for estimating milk production  by the lactating  dam. These
include:  (a) determination of differences in weight between freshly dissected,
milk-filled  glands  of  dams separated from their litter for a  fixed  interval
(usually 8 hours) and the mean weight of mammary glands from unseparated
control  animals  at the same stage  of lactation (Hanwell and  Linzell, 1972),
(b) biochemical  determination of  lactose content of mammary tissues  in
suckled versus nonsuckled  lactating dams (Mutch and Hurley, 1974),  and (c)
maximum  milk  yield  during artificial milking after a fixed interval of sepa-
ration from pups (Hanrahan and Eisen,  1970). These techniques provide only
an  indirect  estimate of how much  the  neonates  may be ingesting. The most
commonly employed  technique for directly estimating milk consumption is
to  allow the pups to remove milk from the dam and then determine the
amount suckled  during a specified interval either by estimating the changes in
body weight before and after suckling,  or by removing  and weighing the
stomach and its  contents at completion of the suckling period (Grosvenor and
Turner, 1956,  1957,  1959; Grosvenor and Mena, 1967; Moon and  Turner,
1959; Mena et  al.,   1974).  Another approach  is  to hand-feed  (Miller and
Dymsza, 1963) or  infuse  (Messer et al., 1969) the neonates with  normal rat
milk  and determine the quantity per 24 hours necessary for maintenance of a
normal growth pattern. Intubation or infusion techniques probably  result in an
overestimate: of actual milk consumption by normal suckling neonates. Over-
estimates can result from:  (a) increased caloric requirements arising from ex-
cessive handling during artificial feeding,  (b) ineffective utilization of caloric
intake due  to differences  between artificial patterns of feeding and  natural
                                  4-4

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daily  rhythms  in   suckling behavior (Grota and  Ader, 1974;  Redman and
Sweeney, 1976), and (c)  differences between the caloric values of infused or
intubated milk, usually obtained during peak lactation periods (10 to 12 days,
1.3 Kcal/ml) by artificial  milking and that milk obtained by neonates  during
natural suckling (approximately  1.9, 1.3, 1.5 Kcal/ml during weeks 1, 2, and 3
respectively) (Bornschein  et a/.,   1977a).  It is  important to emphasize  that
thermoregulatory mechanisms are not well developed in newborn rats and do
not become operational until after the first week of life (Fowler and Kellogg,
1975). Close contact between litter and dam is  necessary for maintenance of
normal body temperature. The procedure of intubation  or infusion upsets the
normal  litter-dam relationship, and this insult can be  amplified by  artificial
feeding of late  lactation (low calorie) rat milk, when milk normally produced
in the early stages of lactation is of relatively high caloric content.

Because  of  these various methodological drawbacks, we sought a different
approach to the estimation of daily milk consumption. As a result of this
search, we have developed a way by which one can make a fairly good approxi-
mation of the volume of milk and, consequently,  the amount of lead consumed
each day (Fox et a/., 1975; Michaelson et al., 1976; Bornschein etal., 1977b).

The volume of milk consumed each day  can be estimated with knowledge of:
(a) the caloric requirements necessary to maintain  normal daily growth  during
the suckling period and  (b) the  caloric  value of milk  during lactation.  Esti-
mated caloric requirements  per gram body weight in neonatal  rats range from
0.29 Kcal on day 1 to 0.53  teal on day 18. Caloric values of milk range from
2.62 Kcal/ml to 1.48 Kcal/ml on the 1st through 18th day of lactation.  Neo-
nates are highly efficient  in extracting energy from  the milk, the efficiency of
utilization being over 90  percent.  Estimated milk consumption per suckling
pup increases from  0.7 ml on day 1 to 17.1 ml on day 18. Details pertaining to
the above discussion have  been published  (Bornschein etal. 1977b).

A sample calculation appears below:

       Grams of milk = Body wt ^ x caloric requirement (Kcal/g)
                      Caloric value of milk (Kcal/g) x eff. utilization
       For example, on day 5:  Neonate's body wt = 12 g
                              Caloric requirement = 0.29 Kcal/g
                              Caloric value of milk = 1.25 Kcal/ml
                              Efficiency of utilization = 0.9

       Grams of milk = 02 9> (0.29 Kcal/g) =  3 Q
                       1.30 Kcal/ml x 0.9

Our theoretical estimates of daily milk  consumption are in good agreement
with our expectation based on limited reports of milk production  in rodents.
We estimate that on day 10 of lactation a 300 gram rat nursing six pups yields
45 ml of milk in 24 hours. A  recent study by  Hanwell  and Linzell (1972) on
the rate of milk secretion in rats on  the tenth day of lactation  indicated  that
240-280 gram rats produce 42 ml of milk per  day. Thus, our estimates during

                                  4-5

-------
late  lactation  are  in  general  agreement with  the  limited data available. We
recognize the  need for  experimental  validation of our theoretical estimates
and  have conducted  a 24-hour  fostering experiment  in which normal  non-
exposed  sucklings  received  lead  from  an exposed  lactating  rat. Analytical
estimation of  the  lead-load in these sucklings yielded 90 percent to 126 per-
cent recovery relative to the expected value (Table 4-2).
   Table 4-2. ACCUMULATION OF LEAD IN 12-13-DAY-OLD RATS FOLLOWING
             24 HOURS OF EXPOSURE VIA CONTAMINATED MILK



Pup
No.
1
2
3
4
5
6
A
Body
weight
(9)
28.7
30.6
28.7
27.1
30.9
29.8
B3
Milk
consumed
(g)
10.3
11.2
10.3
9.7
11.0
10.9
C°
MaPb
consumed
B x D
14.9
16,2
14.9
23.8
27.0
26.7
D°.d

Mg Pb/ml
milk
1.45+ 0.056
1.45 + 0.05e
1.45+ 0.05e
2.45 + 0.45f
2.45+ 0,45f
2.45+ 0.45f
E<=
Pb body
burden JUg
(corrected)
15.8
15.1
14.0
24.5
27.8
26.6
F

% Recovery
E/C
106
93
94
103
103
100
                                                                   100+5
aTheoretical estimate.

bPredicted Intake.

cExperimentally determined.

dTwo milk samples per dam, each sample analyzed in triplicate.

eMjlk lead content of lead-exposed dam No. 1.

fMllk lead content of lead-exposed dam No. 2.
 We  concluded that this  indirect (noninvasive) method is applicable for  esti-
 mating the actual exposure of the neonate during lactation.

 Although estimates of daily milk ingestion appear to be valid for control  rats,
 it is necessary to  consider what effects the presence  of  lead might have on
 milk quality, quantity,  or  utilization by the neonate.  As an indirect indica-
 tion of the status  of these  parameters, food and fluid  intake by the dam and
 growth rate of the neonates have been closely monitored. The effects of  lead
 acetate in lactating dams' drinking water were examined over a range of  con-
 centrations from 0.02 percent  to 2.0  percent.  We found that alteration in
 food and  fluid  intake occurred at all concentrations above 0.2  percent. At
 these same  concentrations depression in neonatal growth rate was evident.
 However, at a concentration of 0.2 percent lead acetate, all of the above para-
 meters were unaltered. Therefore, it would appear that the presence of lead at
 the  concentration used in this study does not significantly alter the validity of
 the  assumptions underlying the theoretical  estimates of daily  lead intake.
                                   4-6

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Employing this  methodology we  have  estimated  the  daily exposure of the
Pentschew and Garro  (1966) model wherein neonatal rats suckle dams pro-
ducing 40 ppm  lead-containing milk from birth to 21  days of age. The pups
then wean to the dam's diet which contains 31,000 ppm lead. This protocol
is commonly used as an animal model of lead encephalopathy. Prior to wean-
ing, the exposure of the neonate is about 1.5 /ig Pb/g/day (Figure 4-1, upper
solid  curve).  Following weaning, daily lead exposure  jumps  to  3,000 jug
Pb/g/day, a 2,000-fold  increase.
                             4% Pb CO3 DIET (PENTSCHEW & GARRO)
   1000

    100

I   10 h
s

I   1-°
Q.
3   o.i

   0.01

  0.001
                               ).5% Pb (Ac)2 H20 (SILBERGELD & GOLDBERG)
            	RAT
            	 MOUSE
                         J-L—SOBOTKA AND COOK (INTUBATION)
                         -+•	BROWN (ip)
                 	1 OX)2% Pb (Ac)2H20 (MICHAELSON AND BORNSCHEIN)

                              
-------
percent lead acetate results in an estimated exposure of the neonate to about
0.5 //g  Pb/g  body wt/day, resulting in a blood lead  concentration of about
65 M9  percent. The difference in resultant blood lead concentrations is most
likely a reflection of higher  absorption levels obtained with the milk vehicle
{Kostial et al., 1971) and of a higher body burden due to a more nearly contin-
uous daily exposure to lead.

Using these estimation techniques, it is also possible to compare exposure levels
in rats and mice with those seen in the human population. Recommendations
pertaining to maximum daily permissible intake D.P.I, for various segments of
the human population range from  4 to 10 Mg Pb/kg body weight (Barltrop,
1973). Most  investigators using the lactating dam as a vehicle for lead adminis-
tration are exposing the neonates to lead levels 10 to 100 times higher than the
recommended daily  permissible intake for the human population.  The ability
to  make  such comparisons,  i.e.,  between various exposure  techniques  and
between animal models and the human population, should enhance our ability
to develop relevant  animal models of lead exposure for the human pediatric
population.

Our investigations of  biochemical and behavioral effects of lead exposure  are
being  carried out in animals  receiving lead at  a level approximately one order
of magnitude greater than the level  recommended for children (see  Figure 4-1).
The exposure level  or external dose is of course only one of several important
descriptive indices. Perhaps of greater  importance is the internal  dose as re-
flected by blood lead concentrations  and brain lead concentrations. We have
undertaken  an analysis of the transfer of lead from the dam's water to the
blood  and brain of the neonate. A summary of the results appears in Table 4-3,
which reveals that the blood lead levels span  those concentrations of greatest
interest, i.e.,  20 to 80 M9 percent.
      Table 4-3. LEAD CONCENTRATION IN RAT BLOOD AND BRAIN AFTER
                          20 DAYS OF LACTATIONS
Concentration of
Lead acetate In
dam's water
Tap water
0.02%
0.10%
0.20%
0.50%

Dam's blood
lead (#g%)
9+3
24+5
41+7
69+21
104+ 2

Dam's milk
lead (Atg%)
<1
21+2
87+7
139 + 11
264 + 40

Pup's blood
lead (jUg%)
11 + 4
29+5
42+4
65 + 25
137 +, 7

Pup's brain
lead (jUg%)
12+2
29+7
47 + 10
65 + 6
1 36 +_ 3 1
 aValues represent X + SEM.
 We have also assessed blood and brain lead levels at various points following
 termination of exposure at day 20. Tables 4-4 and 4-5 summarize  the effects
 seen  in  rats and  mice,  respectively. There  are  several points  of  interest  in
 Table 4-5.  First, irrespective of  the treatment group, i.e.,  acute  or chronic
 exposure, the blood lead concentrations were highest at the end of the lacta-
 tion  period which  is probably a reflection  of the high absorptive capacity  of
                                  4-8

-------
the neonate. In the acutely exposed group, blood lead concentrations declined
but  did not reach  control  values. The chronically exposed group tended  to
reach steady state blood lead concentrations of about 120-140 jug percent. A
second  interesting finding is that brain lead levels in the acutely exposed group
slowly decreased following termination of exposure. In the chronically exposed
group, lead continued to accumulate in brain tissue despite a relatively steady-
state blood  lead. The potential pitfalls  in  any attempts to relate a  specific
biochemical  or behavioral  effect to a single determination of blood lead con-
centration at a single point in time are readily apparent.
         Table 4-4.  LEAD CONCENTRATION IN RAT BLOOD AND BRAIN
                          AGE:  20, 60, and 270 DAYS

Concentration of
lead acetate
Tap water
0.02%
0.1%

Tap water
0.02%
0.1%
Blood lead concentration (jllg%)
20
11 +_ 4a
29 +_ 5
42 ±_ 4
60
4 + 1
5+0
9+3
270
9 +.0.3
9 ±0.7
9 +_ 1.0
Brain lead concentration (;Ug%)
12 +_ 2
29 +_ 7
47 ± 10
14+0
8+0
14+0
12 +_ 1
14 +_ 0.3
20 +_ 4
aN = 3 to 5 subject for each treatment x age group.
 Values represent X+_ SEM.
        Table 4-5.  LEAD CONCENTRATION" IN MICE AS A FUNCTION OF
                           AGE AND TREATMENT
                            Concentration of lead in dam's water

Age, days
15
20
40
100
(0.05
Blood
	
15
17
4
ppm Pb
— Brain
	
5
5
4
109 pprr
Blood —
42
79
29
20
i Pbb
Brain
16
24
24
10
2780 ppm Pbc
Blood — Brain
	
190 200
120 306
143 584
aPooled samples—4-5 mice per sample—reported asjUg%,

 Exposure via maternal milk only — exposure terminated at day 21.

°Continuous exposure — during first 3 weeks via maternal milk and postweanlng via
 dams water supply.
                                   4-9

-------
Lead Exposures and Nutritional Status

The effect of lead ingestion on the normal pattern of food and water intake by
rodents has been well documented  (Michaelson and Sauerhoff, 19/4; Goiter
and Michaelson, 1975; Morrison eta/., 1975; Maker eta/., 1975). Furthermore,
we  have recently reported on the effects of developmental undernutrition on
motor activity,  a behavioral parameter also reported to  be affected by  lead
exposure (Loch et a/., 1976). The results of these studies indicate the need to
consider the dietary  status of animals as a major  variable in experimental de-
sign.  Dietary factors can be regarded as both a previously uncontrolled variable
which can  confound  the interpretation of experimental findings and as a po-
tential independent variable which adds a critically important dimension to the
development of an  animal model  for asymptomatic exposure.

 In demonstrating the role of dietary status as an uncontrolled variable in most
lead toxicity studies, it should first be pointed out that numerous dietary  con-
stituents have  been shown to  influence lead metabolism. The list is extensive
and includes: protein and fat content; trace metals, e.g., iron, copper, and zinc;
vitamins, e.g.,  vitamin D; and essential minerals, e.g., calcium and phosphate
 (Barltrop and Khoo,  1975).

 Absolute nutrient concentrations as well as concentrations  relative to other
 dietary  components can drastically alter the toxic  effects which  may ensue
 following  exposure to lead. Commercially  available animal chows are charac-
 teristically  oversupplemented with  essential nutrients. Often they exceed by
 5- to 10-fold the levels recommended by the National Research Council (1972)
 for normal growth  and development. The concentration  of any  particular
 dietary  constituent may vary considerably between different manufacturers as
 well  as between different  lots of chow  obtained at different points in time
 from  the same manufacturer.  However, concentrations seldom fall  below the
 NRC recommendations.  The extent of variability between different suppliers
 and the extent of  oversupplementation can be seen in Table 4-6.  In this table
 are  listed  several  dietary constituents known  to influence lead metabolism.
 Recommendations of the NRC  can be compared with dietary concentrations
 reported by several manufacturers.  Table 4-7 illustrates the extent of the varia-
 bility between  advertised metal  content and that actually found  in various
lots obtained over  the course of 3 years. Note also  the high concentrations of
lead and cadmium  in successive shipments from  the same supplier. The obvious
conclusion  to be drawn from  these results is that  it is essential  that investi-
gators control, document, and  report those aspects of the animal's diet which
are known  to influence lead metabolism. Until  this is done, we will continue
to encounter difficulties replicating work within  our laboratories as well as that
work carried out in other laboratories.
                                  4-10

-------
      Table 4-6.  NUTRIENT COMPOSITION OF COMMERCIAL RAT DIETS

Dietary
Constituent
Fat (%)
Ca (%)
Cu (ppm)
Fe (ppm)
Zn (ppm)
Vit D (I.U./g)

NRC
Requirements
7.6
0.6
5.6
39.0
13.0
1.11
Supplier number

1
9.0
1.2
18.0
198.0
58.0
3.3

2
6.0
2.0
13.0
370.0
38.0
5.1

3
7.0
1.1
15.5
370,0
	
2.4

4
10.0
0.9
6.5
37.0
20.0
4.0
         Table 4-7. TRACE METAL AND HEAVY METAL CONTENT OF
                         COMMERCIAL DIET NO. 1a
                                       Metal content (ppm)

NRC
Advertised
Sample 1 (1974)
2 (1975)
3 (1975)
4 (1975)
5 (1975)
6 (1976)
Zn
13
58
53
55
60
68
58
54
Cu
6
18
11
17
17
13
13
9
Cr
	
	
1.4
1.8
2.1
1.3
2.4
	
Mn
56
51
60
62
60
57
53
	
Fe
39
198
278
209
465
475
415
363
Cd
	
	
0.1
1.3
0.8
0.9
1.1
	
Pb
	
	
3.0
2.8
3.1
3.0
2.5
1,0
aUnpublished  data  from  Dr.  L.  Murthy  and
 Environmental Health, University of Cincinnati.
H.  Petering of the Department of
In addition to concerns pertaining to dietary status as a control variable, we
also  argue for its consideration  as a significant independent variable in any
attempt to  model asymptomatic pediatric lead  toxicity. As noted previously,
rats  consuming commercial lab chows  are being subjected to a diet which is
heavily fortified with essential  nutrients. Such diets are seldom encountered in
the human population.  In fact, it has been well documented that a substantial
portion of our population is deficient in one  or more  of the nutrients con-
sidered  essential  for normal  health. The parameter of greatest concern with
respect to the lead problem may be iron deficiency. The recent Ten State Nu-
tritional Survey (1968-1970) indicates that  in children  under three years of
age,  50 percent were deficient in iron intake  irrespective of ethnic group or
socio-economic status. Approximately 40 percent of this population had iron
intakes less than one-half the Recommended Dietary Allowance.  The findings
are of considerable importance because of the demonstrated biochemical  inter-
actions of lead and iron in important biochemical pathways involving electron
transport, catecholamine metabolism, and porphyrin synthesis. Similar  argu-
ments could be made for several other dietary constituents.

Iron   deficiency alone  can produce  significant biochemical and behavioral
changes,  many of which bear a striking resemblance to  the clinical picture
                                  4-11

-------
obtained with elevated lead exposure  (Pollit and Leibel, 1976). Dietary intake
of other trace metals, e.g., zinc and copper, is also considered to be marginal in
some segments of our population. Animal models of asymptomatic lead expo-
sure should provide the capability for controlling and manipulating dietary
status. Dietary manipulations in  conjunction  with various levels and durations
of lead exposure can reveal much about the mechanisms of lead neurotoxicity
as well as suggest possible methods for preventing or correcting lead's effects
on  critically  sensitive segments of the  population.  For  these  reasons  our
animals are  maintained on a semipurified  diet which closely approximates the
NRC recommendations.

During the  21-day period prior to weaning, the neonate's nutritional status is
directly related to the amount of milk consumed per unit time per gram body
weight and  the concentration of essential nutrients in the dam's milk at that
time. Utilizing the  same methodology as that used to estimate daily lead in-
take, it is possible to estimate the daily intake of iron, copper, zinc, or other
essential nutrients by the neonate at any point during the lactation period. For
example, we have determined the zinc content of control dam's milk at 5-day
intervals during lactation. These data, together with estimated daily milk con-
sumption, permit us to estimate daily zinc intake during the lactation  period.
Table 4-8 illustrates the result of such a calculation. By employing such a pro-
cedure,  it  is possible to define  the daily intake  of critical nutrients such  as
iron, copper,  zinc, and other metals known to interact with lead. It may  also
be  possible to manipulate the dam's diet in order  to produce specific trace
metal deficiencies in  the neonates. Such  manipulations may permit an evalu-
ation of lead exposure in conjunction with specific dietary deficiencies in the
neonate.
                  Table 4-8.  ESTIMATED DAILY ZINC INTAKE
Day of lactation
Pup body wt (g)
Zinc content of milk (ppm)
Milk ingestion (g)
Zinc Intake (jUg absolute)
Zinc Intake (jUg/g body wt)
5
12
17
2.8
47.6
4.0
10
24
13
7.4
96.2
4.0
15
37
11
12.8
140.1
3.8
20
50
10
18.2
182.0
3.6
 Unintentional Sources of Exposure

 As indicated in Table 4-6, commercial laboratory chows contain considerable
 concentrations of lead (Fox et a/,,  1976).  This concentration poses several
 problems in regard to the preparation of adequate control animals. Long-term
 consumption of these chows can result in an elevated lead body burden. During
 pregnancy, the fetus is subjected to unintentional and, at this point, unpre-
 ventable exposure to  lead.  Furthermore, at  parturition the neonates are sub-
 jected to a substantial increase in lead body burden as a result of elevated lead
 concentration in dam's milk. Finally, beginning on about day 17 of life, the
 neonate begins to consume  solid food, producing about a  15-fold elevation  in
                                    4-12

-------
daily  lead  exposure after weaning if the  chow  contains 0.5 ppm lead  (see
Figure 4-1). Since gastrointestinal absorption is still very high in the 17-to 30-
day-old rat (Forbes and Reina, 1972), a marked elevation in body burden can
occur. Of far greater consequence is the lead exposure which can result if the
15- to 20-day-old rat pup should gain access to the dam's lead-containing water
supply. For example, a dam drinking 0.2  percent lead  acetate in  water pro-
duces milk containing about 1.4 ppm lead. An 18-day-old rat pup  consuming
this milk is exposed to about 0.5 jug lead/g body wt/day. If this pup should
ingest one ml of the dam's water supply,  its exposure  is increased to 22 jug
lead/g body wt/day. Fortunately,  this type of unintended lead exposure can
be  prevented  with the appropriate  choice of cages. The greatest potential
source of unintended lead exposure is that lead which is introduced into the
neonate's environment  by the dam. The lactating dam drinking 0.2 percent
lead acetate-water consumes about 80 ml of water or about 87,200 jug of lead
per day. The dam retains  less than 5 percent of this total (Kostial eta/.,  1971).
The remainder,  about 82,000 ;ug of lead,  is excreted through  the urine and
feces into  the neonate's immediate environment.  If cage bedding  is changed
only  every 5 days, lead contamination can increase to 410,000 nq of lead. How
much of this lead is available for intake by the neonate is unknown. Most of
this lead is in fecal material, and some  is  adsorbed onto the surface  of the
bedding  material.  Clean ground  corn  cob  bedding  contains 0.06 ppm lead.
After 5 days, the bedding, free of fecal  material, contains 36.0 ppm lead. The
high level of licking, preening, and oral exploratory behavior in which neonatal
rats normally engage can  result in the unwanted transfer of some  of this  lead
into  the neonate. In experiments where bedding  material was changed only
once  a week, we found that within 3  weeks the neonates had a lead body
burden 4 times  greater than would  be  predicted on the  basis  of  lead  intake
via milk  only.

In  this paper we  have attempted to highlight some of the major problems
associated  with  the experimental  exposure of neonatal  animals to inorganic
lead.  It  is  our hope that  appropriate attention to these  problems will lead to
a  further refinement of  current models of low-level chronic  neonatal  lead
exposure. We further hope  that our methodology for estimating daily expo-
sure levels will generate new dialogue concerning the adequacy and relevance of
animal models currently used to assess the effects of low-level  lead exposure
on the developing nervous system.

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Acknowledgments

The  authors would  like to thank Donald A. Fox for his assistance in  data
collection and discussion  of material presented  in this paper. We also thank
Drs.  H. Petering and L. Murthy for their discussion related to the use of semi-
purified diets and for the data presented in Table 4-7.

                                   4-17

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       5.  OBSERVATIONAL TECHNIQUES
              IN  BEHAVIORAL TOXICOLOGY
                        STATA NORTON

           Ralph L Smith Mental Retardation Research Center
                               and
                     Department of Pharmacology
                  University of Kansas Medical Center
Introduction

Observational techniques, at their simplest, require no more equipment than
pencil and paper and a willingness on the part of an observer to describe as
much of the behavior as interests him or as his sensitive, but sometimes unre-
liable, eyes and ears can capture.  In this guise, observational techniques have
had a long history of use by lovers of the natural history of animals, by field
ecologists, and, more recently, by the school of ethologists, led into the field
by Konrad Lorenz to capture the  natural history of animals in the snares of
theory, quantification, and laboratory experimentation. After  generations of
scientific  indifference or, even more, disdain for the presumed anthropomor-
phic and  subjective elements in all observation of animal behavior, the value
of controlled observation of animals—freely expressing the subtleties of social,
maternal, or even simple exploratory behavior—is now accepted and exploited
as a way of investigating the function of the central nervous system. Table 5-1
covers the areas which have been most extensively investigated in recent years.
      Table 5-1. BEHAVIORS STUDIES BY OBSERVATIONAL TECHNIQUES
Locomotor
acts
Exploration
Hypoactlvity
Hyperactlvlty
Social
behavior
Dominance roles
Territorial ity
Communication
Reproductive
behavior
Mating
Maternal
Early
development
Sensory reflexes
Motor function
Rhythmic
behavior
Diurnal rhythms
Circadian rhythms
                                5-1

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Given  that  observational  techniques have achieved acceptance as powerful
quantitative methods of studying behavior, do these techniques have a useful
role in the study of behavioral toxicology? The answer is an unequivocal "yes"
for reasons to be explained.

It is a truism, or should be, that behavior is the output of the central nervous
system. Behavior is produced by the CNS in  response to various external and
internal stimuli received from the external environment and the body. In addi-
tion,  behavior  is presumably produced by spontaneous  activity of the CNS
itself   without direct stimuli, at least in higher animals. The sum of these acti-
vities  of the CNS, when expressed as changes in motor function, becomes the
output known as behavior. If behavior is defined as spatially directed, complex
motor acts,  the following  are excluded: the amorphous phenomena known as
emotions, volition,  and consciousness; and specific  nondirected muscle move-
ments such  as tremors, twitches, and seizures. In the study of toxicants which
affect the CNS, the  potential alterations in behavior are many. The effects of
toxicants can range in duration from rapidly  reversible, as in the case of thera-
peutic drugs which  last for a few hours, to permanent changes, as in the effects
of x-irradiation on the developing brain. Toxicants can directly affect sensory,
motor, or integrating systems in  the CNS and hence alter  behavior. Behavior
can also be  altered when the CNS is not the  target  organ for the toxicant but
is affected  indirectly as  a  result of a toxic effect elsewhere in the body.
Examples of indirect effects on behavior are  numerous. Kidney and liver dam-
age obviously  can affect behavior as can cardiovascular effects. Altered levels
of circulating hormones and damage to peripheral sensory and motor systems
modify behavior. In fact,  it is difficult to conceive of damage to the body any-
where which cannot affect behavior.  Thus behavioral toxicology cannot  be
limited to specific kinds of  effects, sites of action in the CNS, or to reversible
phenomena, and in these three ways behavioral toxicology differs from behavi-
oral  pharmacology.  These considerations bring us to the use of observational
techniques in behavioral toxicology. If  one is interested in whether or not the
behavior of an animal has  been modified in any way  by exposure to a toxic
substance, such a global question could require examination of a wide range of
behaviors in order to get a reliable answer. Alternatively, one could look for a
global answer by examining a few behaviors  which  reflect  a generalized func-
tion of the  CNS. The difficulty here is  knowing which behaviors to study. This
problem  leads  to the  argument  which  favors observational techniques  as
methods for obtaining global answers.  If behavior  is the consequence of the
processing  and integration  by  the CNS of the three  sources of  information
listed  before (external  and internal stimuli  and spontaneous CNS activity),
the easiest of these  to  control experimentally are the  external stimuli. If the
external stimuli are  kept constant and  if the external environment is as neutral
as possible  (i.e., if the animal is not pressured experimentally to perform any
particular motor acts), then the  remaining  two factors  predominate.  Since
these are the two factors  which will be altered by toxic substances, it follows
that  observation of spontaneous  behavior in a neutral environment should
reflect changes  in various  CNS functions brought on by  the toxicant.  This
logic  suggests that observational techniques should be sensitive for detection of
                                  5-2

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many types of toxicants. The next question concerns the reliability of obser-
vational techniques and the methods by which quantification of spontaneous
behavior can be achieved.

The  most common method for quantification of spontaneous  behavior is to
record the frequency with which an act occurs. Thus  many studies have re-
ported the number of incidents  of  given acts per  unit time. An example of
this  method, drawn from pharmacology, is found  in the study by Silverman
(1965) of the effects of drugs on the frequency of various acts  performed by
rats  before and after drug administration. In addition  to frequency  analysis,
a more elaborate analysis will include  the  duration  of behavior acts as well
as frequency, introducing another concept. It is inherent  in the use of fre-
quency and duration in reference to behavior acts that  such acts must be dis-
crete quantities which can be  defined  in some way  as starting and  stopping
and  hence having  a unique appearance in the stream of movement of an ani-
mal  from  birth to death.  It has been argued that behavior acts are not "real,"
i.e.,  are not discrete,  and  that, therefore, quantitative analysis of behavior acts
is not possible or,  at least, is not reliable. This argument is equivalent to the
criticism that observational tests produce highly "subjective" data.  This point
deserves careful consideration since the  discrete nature of  behavior is intui-
tively  favored  by most  observers of  animal behavior. The evidence for the
concept  has been  discussed  in  detail  previously  (Norton, 1968)  and  will
not  be repeated here, but the ability to define specific  behavior acts  in terms
accurately recognized by a computer from  video  film (Norton and Servoss,
1972) is a strong argument in favor of the nonsubjective nature of spontaneous
behavior.

The  consequence of  the  discrete nature  of behavior acts is that observers of
spontaneous  behavior have at their disposal rich and  varied  sets of data which
can  be analyzed in many ways that  have hardly been explored at the present
time. In general terms, spontaneous behavior can be viewed as  having both a
macrostructure and a microstructure, depending on the time scale in which the
analysis is carried out. Moderately long-term trends are apparent in diurnal and
circadian  rhythms associated with the  light-dark cycle, and short patterns of
behavior appear in the rapid  cycling of acts in many situations, such as explor-
ation of a novel environment. Figure 5-1  presents a simple illustration of these
relationships.  Is there any real difference in the  macro-and microstructure of
behavior other than the time frame? The  answer to this question is not clear at
present. The distinction  is made here to point out the relationship  between
these areas of research, but there may also be a valid  physiological distinction.
For  example the long-term behavioral  sequences in the macrostructure, such
as sleep-wakefulness, may be dependent  on internal  changes such as diurnal
shifts in adrenal cortical  hormones; whereas  the microstructural changes are
more dependent on  rapid local  modification of CNS activity which is res-
ponding to rapidly  changing sensory stimuli in  the  environment. Generally,
different techniques are used to record these two major divisions of behavioral
structure.  Because  the  macrostructure  is  concerned  with slow  behavioral
processes, the usual forms of analysis are concerned with recording only on-off
timing of  the behavior, as in sleep-wakefulness cycles. Another common tech-
nique  is to  measure  circadian  alterations in activity, a  technique exemplified
                                   5-3

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by the use of photocells to monitor locomotion in a residential cage through-
out the day (Barnett and McEwan,  1973; Norton eta/., 1975; Reiter and Ash,
1976).
                         OBSERVATIONAL TECHNIQUES
     DESCRIPTIVE
                                                          QUANTITATIVE
Figure 5-1.  Schematic relationship of macro- and microstructure of behavior.
The most precise technique presently available for studying the microstructure
of behavior is unquestionably to record the behavior on photographic film or
video tape, a procedure which gives the observer  a  permanent record from
which to study the behaviors of interest in any desired detail. The drawback to
working with a permanent visual record is that  it  can contain a tremendous
amount of information.

The first step in data reduction should take place before the permanent record
is even  made. That is, before the observer records the animal's behavior, he
should select an environment appropriate to produce the desired behavior. As
Suomi and Harlow (1969)  pointed out several years ago,  all cages  in which
animals are placed are instruments which  affect the behavior.  If it were pos-
sible, it would be ideal to have time stand still in the analysis of short bouts
of behavior, but time is also a variable to  the CNS, and the brain clearly res-
ponds to what has just transpired as well as to immediate events. In this  way,
the output of the CNS resembles a partial Markov  chain in which each event
has a relationship to the preceding event in the chain. An example of such a
chain of behavioral events  is shown in Figure 5-2. This figure depicts the type
of  behavior  obtained  when a rat is placed in an  exploratory situation, for
example, in a simple plastic box of the type shown in Figure 5-3, and is photo-
graphed with a time-lapse cinecamera at one frame  per second. Placing the rat
in the box triggers off a sequence of behavioral acts.  These discrete acts average
about 3 seconds in duration, and transition times between discrete acts are very
                                   5-4

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 short compared to the  duration of the acts.  This difference in duration and
 transition times allows  the  use  of  time lapse to reduce data acquisition  with-
 out much loss of significant information.

                        MICROSTRUCTURE OF BEHAVIOR
                           PHOTOGRAPHIC ANALYSIS
RE
SM
RE
PW
RE
PW
ST
LO
ST
LO
ST
LO
ST
HT
ST
HT
SI
WF
SI
WF
                                4567
                                   TIME, seconds
                                                                  10
              Figure 5-2.  Example of microstructure of behavior of rats in an
              exploratory  situation as recorded by time-lapse photography at
              one frame per second.  RE, rearing; SM, smelling; PW, pawing; ST,
              standing; LO, looking;  HT, head turning; SI, sitting; WF, washing
              face.
Figure 5-3. Photograph of chamber used for time-lapse analysis of exploratory behavior of rats.


  Having decided  upon  the  behaviors of interest (in the experiment described
  here  it is the exploratory behavior of the rat) and the  method of producing a
  permanent record of that  behavior, three quantitative  aspects of the behavior
  are obtained from the record: the durations, the  frequencies, and the associ-
  ations  of  behavioral acts.  When pairs of rats are  photographed at one frame
                                     5-5

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per second for 15 minutes, the photographic record for each rat is 900 frames
of film. In order to handle even this amount of data, computer programs are
needed to analyze the results. The behavioral act of each rat in each frame of
film is identified by the observer. The body position (standing, sitting, rearing,
walking, turning, or lying down) and head or paw  position (looking, smelling,
head turning, sniffing, bobbing, washing face, grooming, scratching, or pawing)
is identified for each second. These behavioral  acts of rats have been defined
previously  (Norton, 1973) although in general the words follow conventional
English usage.

The following computations are made from the data  obtained on groups of
rats (i.e., experimental and control groups):

   1.  The duration  (D) in seconds of each act listed above is determined. Aver-
   age durations and standard deviations are calculated for each act. In the
   data examined  so far, the  durations are normally distributed or have a
   gamma distribution.

   2. The frequency (F)  of each act is determined as the number of times each
   act is initiated, regardless of duration. Average frequency per rat and stan-
   dard deviation are determined conventionally.

   3. The total number of seconds  that each act is performed is calculated per
   rat. This number is obviously the product, D x F.

   4. Behavior patterns (behavior sequences) are estimated. The computations
   involved here will be described in some detail since this represents the least
   familiar (and most revealing) parameter measured.

Determination of Behavior Patterns

In the long history  of observation of animal life, behavior  patterns of animals
have been  described often. As an example, drawn from classical biology, many
observers  have described the patterns in  mating behavior  of various species.
Mating patterns have been seen in some insects where the behavior is a determi-
nistic chain in which each step follows a rigid form dependent on the previous
act and from which there is  no deviation. Even in vertebrates-for example, in
some fish  (Nelson,  1964; Barlow,  1968)-the pattern of mating  behavior has
a highly rigid structure. In most of these studies, the behavior pattern is so pre-
cisely executed that the  pattern has been described without reference to alter-
nate patterns or variability in the patterns.  In other studies, such as those on
verbal communication among rhesus monkeys by Altmann  (1965), the  in-
herent flexibility in sequences of acts is so great that probability measurements
are required to identify patterns. It is not surprising that both  situations have
been  described: that some  behavior patterns are  "hard-wired" so that some
behaviors are performed  in an unvarying sequence following the initiation of
the  sequence by  one of a  pair   of animals,  and, alternatively, that some
behaviors are performed  in sequences with a probability that is dependent on
many  variables including the preceding behavior. Then are there any random
                                   5-6

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acts performed without dependence on preceding acts? There is no unequivocal
answer to this question because the available data are not adequate. It can be
predicted only on the basis of present data that  there may not be any truly
random behavior acts, at least not among the higher vertebrate groups.

In the case of behaviors  which follow each other with sequential probabilities,
i.e.,  those  in  which the behavior pattern is not completely determined, the
strategy  for detecting  the  pattern needs to be considered. This is particularly
true of complex patterns which, to the unaided eye, may superficially appear
to be random sequences.  The most  straightforward approach is to calculate
probabilities  directly for various  sequences of acts  in which the  observer is
interested. While this  is an accurate and efficient method, it has two draw-
backs. First,  it requires  that the sequence of interest be  predicted by the ob-
server. Second, it is  limited to short sequences, i.e., three or four acts, because
the calculations required to obtain  absolute probabilities of all possible com-
binations and  permutations of longer sequences are prohibitive.

An alternate  strategy  to calculate sequences for  large numbers of acts is  to
compute chi  square  values for observed and expected frequencies of each pair
of  behavior acts as they  are obtained in successive time bins in  the photo-
graphic record.  For example,  if there are 14 behavior acts in 900 seconds  of
exploratory behavior of  each rat, observed and expected occurrence of pairs  of
the  14 acts  in  successive  2- to 30-second intervals  or longer can be readily
determined. This method has been used to detect three patterns of exploratory
behavior  in rats under  these  circumstances  (Norton, 1968; Norton, 1973).
As an example  of the data  obtained with these calculations. Figure 5-4 con-
tains the details for  a pair  of acts, walking and rearing. This figure shows that
the number of simultaneous occurrences  of walking and rearing is less than
expected in intervals shorter than  5 seconds, while in intervals 5 to 30 seconds
long, walking and rearing  are paired more frequently than  expected. The dif-
ference in observed  and  expected  frequencies is significant  in intervals from 9
to 20 seconds using a chi square test for goodness of fit of the observed to the
expected occurrences. Sincewalking and rearing are acts which each last several
seconds, once initiated,  it is not surprising that they are found together with
less than random expectation  in  intervals less than  5 seconds.  The duration
histograms in  Figure 5-4 show the actual durations of each of these acts. The
significant association  of walking  and rearing as a pair in the longer intervals
up to 30 seconds shows that  the initiation of one  of the pair increases the
probability of occurrence of the other act. If these calculations are continued
for all possible  pairs  of the 14  behavior acts identified from  film in  these
experiments,  the  most  probable  sequence of behavior can be determined.
Table 5-2  shows this  sequence for a group of 28 control  rats. The  interval
used to determine the sequence can be any time bin from 5 to 20 seconds  in
these experiments with rat behavior,  and the same sequence will be obtained.
                                   5-7

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o
cc"
22
z
180 •
140
 100
                          MICROSTRUCTURE OF BEHAVIOR
      LINKAGE OF TWO BEHAVIOR ACTS
                                                        120.
O  40
HI
DC
U.
       DURATION
          HISTOGRAMS


            WALKING
                                                         40 ••
                                                                  REARING
                      SECONDS
                                                                    6    10
                                                                 SECONDS
                   10
                           15
                                   20
                                                  30
 Figure 5-4. Example of nonrandom association of 2 behavior acts, walking and rearing, in
 exploratory behavior of controls rats. In line graph, X = expected occurrences of walking
 and rearing together, in time  intervals from 2  to 30 sec, calculated from observed fre-
 quency of occurrence of each act independently; 0 = observed occurrences of walking and
 rearing in  the same intervals.  Arrow points to  time intervals where difference between
 observed and expected was significant  (p = (0.05,  chi square test for goodness of fit).
           Table 5-2.  MICROSTRUCTURE OF BEHAVIOR SEQUENCE OF
                      BEHAVIOR ACTS IN CONTROL RATS

                       (Abbreviations are defined in the text)

WF SI GR SC
Groom ing
BO WA TU RE PW SN
Exploratory
HT SM ST LO
Attention
 Table 5-3 shows the data  from which a complete sequence of 14 acts is ob-
 tained,  using the calculations of chi square values for observed and expected
 pairs. This table shows the chi  squares for pairs of behavior acts in a group of
 control  rats (upper right half of matrix) and a group of rats with lesions in the
 globus pallidus (lower left half of matrix). The linear arrangement of the acts is
 the same as that in the sequence of acts in Table 5-2 and is obtained by sorting
 the acts for control  rats so that the diagonal  adjacent to the main diagonal of
 the matrix reaches the  maximum numerical value of the chi squares in  which
 observed frequency is greater than expected. The  effect of this arrangement is
 to put acts together which  have the highest chi squares for the pairs occurring
 together and also to separate  pairs  with large chi  squares which were  less
                                    5-8

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frequent than expected. The negative sign is used in  Table 5-3 to indicate the
latter chi squares. Only one such arrangement with the maximum numerical
value for the  summed diagonal is obtained for each  matrix, and this arrange-
ment determines the most probable behavior sequence. The labels given to
three clusters of acts—grooming,  exploratory, and attention—are for conven-
ience in  identifying the types of  acts involved. The abbreviations for the acts
are:  WF, washing face; SI,  sitting; GR, grooming; SC, scratching; BO, bobbing;
WA, walking; TU, turning; RE, rearing; PW, pawing; SN, sniffing; HT, head
turning; SM, smelling; ST, standing; and LO, looking.
    Table 5-3. MATRIX OF CHI SQUARES FOR PAIRS OF BEHAVIOR ITEMS IN
    SUCCESSIVE 5 SEC INTERVALS IN 4 CONTROL AND 4 LESIONED RATS3
    ARRANGED TO MAXIMIZE NUMERICAL VALUE OF CONTROL DIAGONAL
  ADJACENT TO MAIN DIAGONAL (MINUS SIGN USED TO INDICATE OBSERVED
             BEHAVIOR WAS LESS FREQUENT THAN EXPECTED)


WF
SI
GR
SC

BO
WA
TU
RE
PW
SN

HT
SM
ST
LO
Pairs of acts in control rats
WF SI GR SC
Grooming
	 45 15 2
31 	 31 0
5 7 	 0
000 	
Groom Ing-Exploratory
-3 2-10
-5 -3 -1 0
-7 0-10
-8 0-20
-1500
0000
Groom Ing- Attention
-10 -5 -7 0
-8 -12-5 0
-6 -4 -3 0
—7 0-10
BO WA TU RE PW SN
Exploratory-Grooming
-6 -16 -7 -5 -3 -8
0 -9-2-24 0
-2 -20-5 0 -2
-2 -20-5 0 -2
Exploratory
	 0252 3
0 	 1 0-1-3
1 0 	 24 1 0
7 1 14 	 5 2
1 006 	 2
0 0000 	
Exploratory- Attention
0 0000 0
-5001-1 0
0 00-10 0
0 0000 0

HT SM ST LO
Attention-Grooming
-12 -39 -28 -5
-13 -39 -25 -3
-1 -7 0 -1
-1 -7 0 -1
Attention-Exploratory
0021
1220
021-1
0400
0000
0002
Attention
	 750
0 	 12 0
20 	 4
1-8 2 	
aControl rat data  in upper right half of matrix; lesloned  rat data In lower left half of
 matrix.
 In the experiment in Table 5-3, each lesioned rat was photographed with a con-
trol rat as shown in Figure 5-3, Although there is some effect of one rat on the
other in these paired circumstances, the effect is to make the animals' behavior
more  alike,  thus slightly  reducing the difference  between control  and experi-
mental  animals  (Norton,  unpublished  observations).  The  data  in Table 5-3
show  that the effect of the lesion was to reduce the chi square values in each
cluster  of  acts.  The  interpretation of this  phenomenon  is that the lesion
affected the microstructure of behavior, causing the rats to perform acts in a
more  random fashion. This experiment has been reported previously in greater
detail (Norton, 1976).
                                  5-9

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The  significance  of  the  microstructure  of  behavior  and the effect  of toxic
conditions on it  need consideration. First, it appears that there is a structure
to behavior even  under conditions where an observer may not readily detect it.
The  example  given  here is the  analysis of  a  simple  exploratory situation in
which a rat is placed in a plastic cage for 15 minutes. Under these  conditions
control  rats  show a distinct  patterning of behavior. Furthermore,  this  pat-
terning is disrupted by certain types of brain damage. In the case shown here,
damage was caused by stereotaxic placement of bilateral lesions in  the globus
pallidus.

In an analysis of observed  behavior, the frequency and duration of  behavior
acts  should be examined as well as the sequences. Such an analysis of behavior
should be able to detect toxic effects on behavior in experiments  in which a
less complete analysis might miss one or more of these alterations. Although it
has not been  directly demonstrated, it  is possible  that certain types of brain
damage  could  affect the  structure of spontaneous  behavior and yet cause
little  or  no effect on other behavioral parameters.  If  spontaneous behavior of
man and  other animals is observed  in various  naturally occurring and environ-
mentally  limited  situations, and if the structure of the behavior is  examined,
it should be possible to widen the  range of toxic effects which can be experi-
mentally  quantified. This ability may  be valuable both in the  detection of
toxic behavioral  effects and in understanding  the ways in which the output of
the central nervous system is organized.

 References

Altmann,  S. A.  (1965).  Sociobiology of  rhesus monkeys-ll. Stochastics of
   social communication. J. Theor.  Biol. 8, 490-522.

Barlow,  G. W. (1968).  Ethological units of behavior. In The  Central Nervous
   System and Fish Behavior (D. Ingle, ed), Univ. of Chicago Press,  Chicago.

Barnett, S. A. and McEwan, I. M. (1973).  Movements of virgin, pregnant, and
   lactating mice  in a residential maze. Physio/. Behav. 10, 741-746.

Nelson,  K. (1964).  The  temporal patterning of courtship behaviour in the
   glandulocaudine  fishes  (Ostariophysi, Characidae). Behaviour 24, 90-144.

Norton,  S. (1968).  On  the discontinuous  nature of  behavior.,/. Theor. Biol.
   21, 229-243.

Norton,  S.  (1973).  Amphetamine  as a model  for hyperactivity in  the  rat.
   Physiol. Behav. 11, 181-186.

Norton,  S.  (1976).  Hyperactive behavior  of  rats after lesions of the globus
   pallidus. Brain  Res. Bull. 1,  193-202.

Norton,  S., Culver,  B., and Mullenix,  P. (1975). Development of nocturnal
   behavior in albino rats. Behav. Biol. 15, 317-331.
                                  5-10

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Norton, S. and Servoss, W. (1972). Pattern recognition in rat behavior using a
   laboratory  computer. Fifth  International Congress of Pharmacology, San
   Francisco, July, 1972.

Reiter, L. W. and Ash,  M.  E. (1976). Neurotoxicity during lead exposure in the
   rat. Toxicol. Appl. Pharmacol. 37,  160.

Silverman, A.  P. (1965). Ethological  and statistical analysis of drug effects on
   the social behaviour of laboratory  rats.  Brit.  J. Pharmacol.  24, 579-490.

Suomi, S. J. and Harlow, H. F.  (1969). Apparatus conceptualization for psy-
   chopathological research in monkeys. Behav. Res. Methods Instrum. 1, 247-
   250.
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                    6.  LOCOMOTOR ACTIVITY
       MEASUREMENTS IN BEHAVIORAL
         TOXICOLOGY:  EFFECTS OF  LEAD
   ADMINISTRATION ON  RESIDENTIAL
                                   MAZE BEHAVIOR
       LAWRENCE W. REITER, GEORGE E. ANDERSON,
          MIRIAM E. ASH, AND L EARL GRAY, JR.

            United States Environmental Protection Agency
                 Health Effects Research Laboratory
Introduction

Various measures of locomotor activity have  been widely used in behavioral
toxicology research. The popularity of this endpoint is probably due to the
ease with which  "some"  measure of activity can be made.  Several of the
methods currently employed have been described by Finger (1972). Typically,
these methods measure locomotor activity over short periods of time. Open
field activity measurements, for example, range from  2-5 minutes in  duration
(Archer, 1973) and therefore, record what may be a unique activity, generally
referred  to as "exploratory  activity." Although this is a  useful measure, it
does nothing to describe the animal's "Spontaneous"  activity levels which re-
quire measurement in a more familiar environment. Further, chemically-in-
duced  changes in exploratory activity may differ  from those recorded in a
more familiar environment.

Biological rhythms are another factor which influences an animal's responsive-
ness to chemical  agents. Reinberg and Halberg (1971)  have introduced the
field of  chronopharmacology which  is concerned  with the effects  of drugs
(and toxins) as a function of biologic timing.  It is not surprising that many
classes of drugs, such  as stimulants and depressants,  show circadian rhythms of
potency  in various species including man. By limiting behavioral measure-
ments, especially measurements of locomotor activity, to a single time of day
(typically the  diurnal period), one overlooks the possible interaction of bio-
rhythms with the toxic effects of an agent.
                            6-1

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Norton et al.  (1975a) have  recently described a residential maze system de-
signed to measure locomotor activity  in either grouped or isolated animals
over extended periods of time. This system  utilizes a number of photocells to
record passage of  an animal through a series  of interconnected alleys (see
Figure 6-1)  and has been shown to be capable of detecting behavioral disrup-
tion by  a variety  of factors (Norton et al., 1976; Reiter et al.,  1975). Our
laboratory  has implemented a modification of this system which allows for
computer controlled  data acquisition  and analysis, thus making the maze par-
ticularly useful for long-term activity measurements.
                                                        WATERING TUBE
 Figure 6-1. Schematic representation of the residential maze used to measure locomotor
 activity. The maze consists of a series of interconnected alleys (10 cm wide, 10cm high)
 converging on a central open  field and covered with transparent acrylic plastic equipped
 with a central raised area over the open field. The overall dimensions are 76 cm wide x 60
 cm deep.  Locomotion is detected  by  eight phototransistors (+)/infrared light-emitting
 diode (o) pairs (Reiter eta/., 1975).
The present  paper describes a series of experiments which measured the effects
of  continuous pre- and/or postnatal  exposure to lead on locomotor activity.
Some  short-term  measures of activity were made in preweanling animals, but
in  general,  activity was measured in adults  (120 days old)  over extended
periods ranging from  5-14 days. In this way, we could study various compo-
nents  of  an animal's  activity,  including exploratory,  diurnal, and  nocturnal
activity, as well  as ultradian and circadian rhythms. The results indicate that
lead administration affects these components of activity in a dissimilar manner
and serve to  illustrate the utility of this approach.
                                    6-2

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Methods

Locomotor activity of adult males was recorded at approximately 120 days of
age in the residential maze (Figure  6-1). Groups  of  three littermates were
tested in the maze for a period of either 5 or 14 days. Four mazes were housed
in a sound-attenuated room maintained on a 12-hour light/12-hour dark cycle
beginning at 6:00  a.m. Food and water were available ad libitum.  The daily
experimental procedure was as follows: Groups were introduced into  the mazes
at 10:00 a.m.  and removed at 9:00  a.m. the following day. The mazes were
cleaned,  food and  water were replenished, and the animals were then reintro-
duced into the mazes at 10:00 a.m. Activity counts, indicating the number of
times a rat passed a photodetector in an arm of the maze, were recorded hourly
with the  use of a laboratory minicomputer (Computer Automation,  Inc.).

Measurements of residential maze activity were also obtained following subcu-
taneous administration of d-amphetamine, which the animals received 20 min-
utes prior to being reintroduced  into  the maze. In Experiment 1, we gave only
one  dose of amphetamine  (4.0 mg/kg), which we  administered on the fifth
day  in the maze.  In  Experiment 2, utilizing doses of 1.0, 2.0 and 4.0 mg/kg,
a dose response  to amphetamine was obtained. Animals receive each dose of
the drug, with two days allowed for recovery between drug administrations.
The  sequence  of  drug administration was balanced both within and across
treatment groups.

Social interaction was also measured in the residential mazes. This behavior was
recorded on video tape, under dim red light, approximately 2 hours into the
nocturnal period on  the third day in the maze. Interaction was  measured as
the number of contacts and the total time in contact between any two of the
three animals during a 10-minute observation period.  A contact was defined
simply as two animals physically touching and required a break of at least one
second between  contacts.  Due to availability of equipment, only two groups
per treatment group were recorded.

Male offspring in Experiment 2 were  also tested for acute exploratory activity
at various  ages of development, both  prior to and following  weaning. This
activity was measured in individual  animals placed in  a jiggle-cage (Lafayette
Instrument Company, Model A 501)  for a 4-minute  test period at 13, 16, 29,
and  44,  days of age. This  method measures movement of the animals on a
springloaded platform and is, therefore, affected  by the animal's body weight.
Since there were marked differences in body weight between treatment groups,
comparisons of jiggle-cage activity were possible only between lead-treated and
pair-fed controls.

Experiment 1

Male  and female  Sprague-Dawley  rats,  obtained  from Blue  Spruce  Farms
(Altamont, N.  Y.), were randomly assigned to one of three treatment groups:
0, 5, or  50 ppm lead administered in the drinking water in the acetate form.
Purina lab chow was available ad libitum. Starting at 50-60 days of age, both
males and females  were pretreated for a period of 40 days, which allowed lead
                                 6-3

-------
concentrations to approach  steady-state levels in soft tissues (Castellmo and
Aloj  1964).  Following pretreatment, animals were mated,  and pregnant re-
male's were continued on lead throughout gestation and lactation. At weaning,
the offspring were similarly exposed through  180 days. These  F-]  generation
rats were mated at 90 days of age, and the resulting F2 generation animals were
exposed  to the same lead regimen. No differences between  F-|  and F2 gener-
ations were observed in any parameter, and results for both generations have
been combined.

Experiment 2

Timed-pregnant  Sprague-Dawley  rats,  obtained  from Charles  River Breeding
Laboratory  (Willmington, Massachusetts),  were  used.  The lead exposure regi-
men was similar to that of  Sauerhoff and Michaelson (1973).  Briefly, ground
Purina lab chow containing 5 percent lead  carbonate was provided to nursing
mothers  at parturition. Two control  groups  were employed:  one group re-
ceived food  ad libitum,  and  a second group was pair-fed  to lead-treated
mothers. Pair feeding was accomplished by measuring daily food consumption
in lead-treated mothers  and providing a matched pair-fed  mother with that
amount of food on the following day. This pair-fed group served as a control
for the decreased food consumption observed in  the lead-treated animals. Lead
was removed from the chow on the sixteenth day postpartum and added to the
drinking water,  as lead acetate, in a concentration of 50  ppm. At 21  days,
offspring were weaned onto lead-containing  water  and continued on  treat-
ment throughout the experiment.

Results

The 23-hour activity of control male Blue  Spruce Sprague-Dawley  rats,  taken
on the fourth day in the maze, is shown  in the upper portion of  Figure 6-2.
Following an initial  period  of exploratory activity, during the  first hour after
reintroducing the  rats into the maze, the control animals  showed a normal
circadian rhythm with low diurnal activity and high  nocturnal  activity. The
mean  activity  levels (counts/hour)  obtained during these various periods,
i.e., exploratory, diurnal, and nocturnal, as well  as total activity, were used to
test for treatment effects.

Figure 6-3 represents  control  data  for the adult male Sprague-Dawley rats
obtained  from either Blue  Spruce  (Experiment 1) or Charles River (Experi-
ment 2). Data are presented for the first four days in the maze during the time
periods just described. Locomotor activity was higher on the first day than on
subsequent  days.  This elevated activity   represents  the  animal's increased
reactivity due to the novel environment. In  Blue Spruce animals, activity was
elevated  through  the nocturnal period of the first day. Any activity measure-
ments of 23 hours or less will therefore include some component of explora-
tory activity. Animals become  "established" in  the maze by the second day,
showing consistent activity levels on subsequent days.

Although both control groups showed the same  general  pattern of activity in
the maze, we observed some differences. First, Blue Spruce animals  were more
active  than Charles River animals. On day 1, the Blue  Spruce animals were
                                   6-4

-------
40 percent and 160 percent more active than Charles River animals during the
nocturnal  and  diurnal  periods,  respectively. By  day  4,  this  difference  had
diminished to 3 percent and 50 percent for the same periods. Second, activity
of both groups fell on day 2, but this fall in activity was greater in Blue Spruce
animals, such that the  ratio of day  1/day 2 activities  was greater in the Blue
Spruce. The ratio of day  1/day 2 activity for the  diurnal period was 3.5 for
Blue  Spruce and 2.0 for Charles River rats. This elevated ratio indicates that
Blue  Spruce animals were not only more active, but were also different in their
reactivity, showing a  greater percentage drop in activity as the novelty of the
environment wore off.
         800
         600
         400
         200
           0

         600
         400
    C   200
           0

         600
         400
         200
H EXPLORATORY

• DIURNAL
D NOCTURNAL
                                                      CONTROL
                               5 ppm LEAD
                               50 ppm LEAD
             10a.m.    2p.m.    6p.m.     10p.m.     2a.m.     6a.m.

                             LIGHTS OFF                   LIGHTSON

                                      TIME OF DAY
Figure 6-2. Representative time-interval histograms from control and lead-treated animals
(Experiment 1). Data for each histogram represent means for 5 groups of adult males (3
animals/group) obtained on day 4 in the maze. For purposes of analysis, the data has been
divided into various activity periods  represented by the shaded areas.
                                    6-5

-------
   400
    200
    100
 §   o
                              TOTAL
    •>4-i
H	1	r-
                         EXPLORATORY
                                                          DIURNAL
                                                 BLUE SPRUCG
                                                    SPRAQUE-DAWLEY
                                    	CMARLGSRIV6R      —
                                            SPRAGUG-DAWLEY
                                                         NOCTURNAL
                       34         12
                                 DAY IN MAZE
Figure 6-3. Control locomotor activity for adult molu Spruguo-Dawloy rots obtolnod from
two suppliers. Animals worn  IBS tod in groups of  3, und oach point represents tho moon
counts/hr (+SE)  for oither 4 (Charles Rivor) or 5 (Bluo Spruco) groups of unimals. Dtitu
are prosoniocl (or Iho various activity periods for tho first A days In tho maze.
Experiment 1

The  residential  maze activity levels (expressed  as moan counts/hour)  of  the
various  treatment groups for  the first four successive days of testing  appear
in Figure 6-4. Load administration resulted in a  significant depression of loco-
motor activity which ranged From 27-42 percent on day 1. This loud-induced
                                  6-6

-------
hypoactivity was  not dose-related although  tissue lead levels demonstrated a
dose-related  internal exposure (Cahill et a/.,  1976).  Both the total and the
nocturnal activity remained  depressed throughout the 4-day period.  By day 4,
neither lead-treated  group differed from control during the exploratory period,
and following the first day,  no treatment differences were found in the diurnal
period. Therefore, the treatment differences seen in total activity are primarily
a reflection of the depressed activity during the nocturnal period.
    500

    400

    300

    200

  | 100
  §
  °.   o
  >
  >2500
  u
  <2000

   1500

   1000

    500
     TOTAL   - -
EXPLORATORY
                                NOCTURNAL
500

400

300

200

100

  0

500

400

300

200

100
                    234         12
                               DAYS IN MAZE
Figure  6-4.  Effects of lead administration on  locomotor activity  in adult  male  rats
(Experiment 1): (•) control; (A) 5 ppm Pb; (•) 50 ppm Pb. Animals were tested in groups
of 3 and each point represents the mean (counts/hr ±SE) for 5 groups of animals. Data are
presented for various activity periods for the first 4 days in the maze.  Points marked with
"a" are significantly different from control (t-test), p < 0.05) (Reiter et a/., 1975).
 The social interaction measured on the third night in the maze, approximately
 two hours into the nocturnal period, is represented in Figure 6-5 as the total
 number of contacts between any two of the three animals as well as total time
 in contact during a 10-minute observation period. Although these data repre-
 sent only two groups of animals per treatment and were not subjected to sta-
 tistical  analysis, they suggest that social interaction is increased with lead treat-
 ment. These differences are especially striking for the total number of contacts,
 where the range of values for lead-treated groups does  not overlap  the con-
 trol range.
                                    6-7

-------
Finally, locomotor activity was measured following 4.0 mg/kg d-amphetamine
(sc) given 20 minutes prior to maze testing on day 5.  Figure 6-6 presents the
results as change in activity (A) following amphetamine administration. The A
activity was determined by subtracting the activity obtained on day 4 (predrug,
control levels) from activity following amphetamine administration and there-
fore represents the drug-induced change in activity.
      90  -
      70  -
  8
  tc.
  UJ
  CO

  3

      50  -
      30  -
      10
                                           400
I
z
uj
5  200
                                           100
                      5      50                      0
                       LEAD IN DRINKING WATER, ppm
                          50
Figure 6-5.  Effects of lead administration on social behavior in the adult male rat. (Exper-
iment 1). Animals were scored for number of contacts and total time in contact in the resi-
dential  maze during a 10-minute period of nocturnal activity on day 3 in the maze. Verti-
cal bars represent the range of values.
In control animals,  amphetamine produced the expected hyperactivity. Since
the drug was administered during the diurnal period, when activity is normally
low, the major effect appeared  during  this time. Activity  in control  animals
was elevated 444 percent and 682 percent of predrug levels during the explor-
atory and  diurnal periods, respectively. These  increases were  reflected in  an
                                   6-8

-------
elevation of total activity to 224 percent of predrug control level. During the
nocturnal period, the control  activity fell to 80 percent of the predrug level,
demonstrating  a partial  compensation  for  the drug-induced  hyperactivity.
A ACTIVITY, counts/hr
-
T
_i_
EXPLORATORY
a
T

_L

a
T
-±-







a
T
1
c
IURNAL
a
T
_L
-

750
600 t>
>
0
H
<
450 .<
1
300 -
150
0
            0         5         50            0         5        50
                           LEAD IN DRINKING WATER,ppm

 Figure 6-6.  Effects of d-amphetamine administration (4.0 mg/kg sc) on locomotor activity
 of control and lead-treated rats (Experiment 1). Values are presented as ^-activity (counts/
 hr±SE)  following amphetamine; A = (activity on drug day) - (activity  on predrug day).
 Each bar, therefore,  represents the drug-induced locomotor activity for 5 groups of ani-
 mals. Bars  marked  with "a" are significantly different from control (t-test, p < 0.05).
 Lead-treated  animals  showed a  diminution  in  the amphetamine  response
 (Figure  6-6). When  compared to  the A activity of the control group, both
 treatment groups  showed a significant (p < 0.05)  decrease  in amphetamine-
 induced activity. This decreased responsiveness was also apparent when activity
 was expressed  as  percentage  of  predrug levels. Whereas control activity was
 elevated to 444 and 682 percent during the exploratory and diurnal periods,
 respectively, the 50 ppm  group was elevated 323 and 298 percent during these
 same  periods. As  with the controls, treatment  groups showed less activity
 during the nocturnal  period,  but no significant differences between treatment
 groups were present during this period.

 Experiment 2

 The acute exploratory activity of male offspring from mothers receiving 5 per-
 cent lead  carbonate  at parturition was measured  in a jiggle cage at various
 ages. Figure 6-7 shows the results of these measurements, expressed as percent
 of pair-fed controls  at these ages.  Lead exposure produced a transient  hyper-
 activity  (208 percent of  control at 13 days of age) which continued through
 29 days of age and returned to normal by 44 days of age.
                                    6-9

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    250
    100
       12
               16
                       20
24      28
 AGE, days
                                               32
                                                       36
                                                               40
                                                                      44
Figure 6-7.  Effects of lead administration on acute exploratory activity in rats (Experi-
ment 2), measured at various ages. Values are expressed as percentage of pair-fed controls.
Each point  represents the mean activity (± SE) for 5 litters (2  animals/litter). Points
marked with "a" are significantly different from control (t-test, p { 0.05) Reiter, 1977).
Adult  animals tested  on the first 4 successive  days in the maze showed no
treatment effects  relative  to the  total counts per  23 hours  (Figures 6-8 and
6-9).  However, there were notable  treatment differences in activity following
various doses of  d-amphetamine, findings  consistent  with those of  Experi-
ment  1. Figure 6-10  shows the  dose-response  curves of d-amphetamine for
the treatment groups. Again, the data  are  presented  as  ^activity and there-
fore represent drug-induced  changes in locomotor activity.  The three treat-
ment  groups responded  differently to  d-amphetamine  administration.  In
general, the  amphetamine response  of treatment groups fell in  the following
order: pair-fed > ad libitum  controls) lead-treated. Analysis of  variance indi-
cated a significant  treatment-drug interaction  (p { 0.002) during the diurnal
period. Comparison of the lead-treated groups  with pair-fed  controls showed
significant differences  (t-test; p < 0.01) at  the  2 and  4  mg/kg  doses, during
the  exploratory  and  diurnal  periods.  Similar  comparisons  with ad libitum
                                   6-10

-------
controls were significantly different only at the 4 mg/kg dose.  It appears then
that early undernutrition (pair-fed group) facilitates the response to ampheta-
mine,  shifting the dose-response curve  to the left; whereas lead treatment
attenuates the response, shifting the dose-response curve to the  right. Since
undernutrition is present in the lead group, a comparison between pair-fed
and lead-treated groups is probably the more meaningful one.
      800
      600
      400
       200
       600
    ' 400
       200
      600
      400
       200
     |EXPLORATORY

      DIURNAL
I     I NOCTURNAL
                                                 AD LIB CONTROL
                                                 PAIR-FED CONTROL
                                                  LEAD-TREATED
          10a.m.     2p.m.    6p.m.    10p.m.

                           LIGHTS OFF

                                  TIME OF DAY
                                     2 a.m.     6 a.m.
                                            LIGHTS ON
Figure 6-8.   Representative time-interval  histograms for control, pair-fed control and
lead-treated animals (Experiment 2). Data for each histogram represent means for 4 groups
of adult males (3 animals/group) obtained on day 4 in the maze.
                                    6-11

-------
      »
      >-
      u
      <
          350


          300


          250


          200


          150


          100
.CONTROL
• PAIR-FED
* LEAD-TREATED
                             DIURNAL
                                            ~i	1	r
                                              NOCTURNAL
                                          -PT
                                   4        1

                                  DAY IN MAZE
350


300


250


200


150


100 f
     c

 50  8

    (-
450 >

    Q
400 <


350


300


250


200


150


100


 50
Figure 6-9.  Residential maze activity of control and lead-treated adult male rats, tested
in  groups of 3 (Experiment 2).  Each point represents the mean activity (count/hr ± SE)
for four groups of animals taken on the first 4 days in the maze. No treatment differences
were observed (Reiter, 1977).
                                      6-12

-------
        .CONTROL
        .PAIR-FED
      _ * LEAD-TREATED
= 3000
8
H2000
  1000
                        EXPLORATORY
                                           DIURNAL
                                                                         400
         1.0          2.0          4.0         1.0          2.0          4.0
                           DOSE OF d-AMPHETAMINE, mg/kgs.c.
Figure 6-10. Dose-response curves for d-amphetamine in control and lead-treated animals
(Experiment 2). Values are presented as A activity (counts/hr ±SE) for 4 groups of ani-
mals (A-activity calculated as in Figure 6-6). An analysis of variance indicated a significant
drug-treatment interaction during the  diurnal period  (p < 0.002) with pair-fed animals
showing  a  facilitated drug response  and lead-treated animals showing  an  attenuated
response.

During  the  nocturnal period,  activity  levels showed  an apparent  ultradian
rhythm  having  an approximate 3-4 hour cycle (Figure 6-8). This rhythm was
present  in the control groups, partially disrupted in pair-fed controls, and com-
pletely  disrupted  in  the  lead-treated animals.  Figure 6-11  shows  predicted
curves obtained for the  various treatment groups  pooled over three predrug
days (days 7, 10, and 13 in the maze). Logio transformations of the data have
been performed  to  correct for heterogeneity  of variance. Control animals
showed  a clear triphasic  distribution of activity during the nocturnal period,
with peaks occurring  at 4-hour intervals. An analysis  of variance indicated a
highly significant effect of time (p < 0.0001) in these  control animals, which
accounted for 71 percent  of the variability  in the activity levels. Pair-fed con-
trols showed some disruption  in the later peaks. Nevertheless,  an analysis of
variance showed a significant effect of time  (p < 0.03) in this group, with time
accounting for 27  percent of  the variability. Finally,  activity in lead-treated
animals  showed no effect  of time  (p = 0.88), accounting for only 9 percent of
the variability in this group. As  previously indicated, we observed no  treatment
effects on  activity  levels during the nocturnal period,  but  there was a  signifi-
cant treatment x time interaction  (p = 0.05), demonstrating that the nocturnal
activity  curves  were  not  parallel.  A further comparison of  control  with lead-
treated animals, using an  analysis of variance, indicated a significant treatment
x time  interaction (p { 0.02), thus demonstrating a difference between  the
predicted curves of these two groups.
                                    6-13

-------
       2.63
       2.49
     ^2.35
     u
     <
     o
     o
        2.21
        2.07
                                 .CONTROL

                                 •PAIR-FED
                                 •LEAD
             L   /
                              I
          6 p.m.
10 p.m.
                                              2a.m.
                                                               6a.m.
                                      TIME
Figure  6-11.  Predicted nocturnal activity curves for control and lead-treated adult male
rats, tested in groups of 3 (Experiment 2).  Log-jQ transformations have been performed
to correct for heterogeneity of variance. An analysis of variance indicates an overall treat-
ment x time interaction (p ( 0.05) demonstrating that the curves are nonparallel.
Discussion

In the previous chapter of this book. Dr. Norton separated spontaneous behav-
ior into two categories, microstructure and macrostructure,  based on the time
scale  in which the behavioral analysis is carried out. In the present study, the
residential mazes serve as a useful tool in measuring the macrostructure of
activity since a continuous recording  of the animal's activity is obtained over
extended periods of time.  The present study observed  several interesting facets
of this macrostructure, and although the measurements were limited primarily
to activity in the residential mazes, they  are likely  to  occur to some extent in
environments of different complexity.
                                   6-14

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There has been a tendency in  the  area of behavioral  toxicology to use data
taken from  short-term  measurements of ambulation  to  make general state-
ments about locomotor activity with the assumption  that a short-term mea-
surement of  activity will  be representative of the macrostructure of activity
in general. The data presented here do not support that assumption. The differ-
ent facets of activity—i.e., exploratory, diurnal, and nocturnal—as well as the
rhythms, appear to be different in  both normal animals and animals exposed
to lead.

Exploratory activity is operationally defined  here as the ambulation occurring
in a novel environment which  exceeds the  animal's baseline level of activity
once established in that environment. As defined, exploratory activity in the
residential maze extended well into the first day  and,  in the case  of Blue
Spruce animals, into the nocturnal  period. Charles River animals, on the other
hand, did not show elevated activity during  the day-1 nocturnal period, indi-
cating  a  difference  in the  duration  of exploratory behavior  in these animals.
The two groups also differed in the relative  degrees to which they responded
with elevated activity on day 1. Whereas Blue Spruce animals were 350 percent
more active  on day 1 than on day  2, Charles River animals showed only a 200
percent elevation during the same  period. Therefore, both the  amplitude and
duration of  exploratory behavior  were  greater  in the Blue Spruce animals.

Removing animals from the maze for one hour per day repeatedly produced an
"exploratory burst" of activity when the animals were reintroduced into the
maze.  In both experiments,  activity was elevated to approximately 500 per-
cent of the  normal  diurnal activity  level  (see Figure 6-9). Therefore, daily one-
hour activity measurements  taken  on consecutive days, although  stable, will
still represent exploratory behavior.

In  addition  to the familiar circadian rhythm in activity  levels, the Sprague-
Dawley rat also shows an ultradian rhythm.  This rhythm, which has a 4-hour
cycle,  was  pronounced  during the  nocturnal  period. A similar  pattern  of
resential  maze activity was reported by Norton et a/.  (1975b) in adult female
Sprague-Dawley rats obtained from Charles  River. Although the data on ultra-
dian rhythm were not presented for the  Blue Spruce animals (Experiment  1),
a similar pattern  of activity was observed  (see  Figure 6-2). The apparent ab-
sence of ultradian  rhythm during  the diurnal period may  be  related to the
experimental design. Since diurnal activity level  is very low, it may be difficult
to detect any small fluctuations, but more importantly, removal of the animals
from the maze for one hour per day during the diurnal period may disrupt the
rhythm. However, by the nocturnal period the animals have readjusted and the
rhythm returns.

In Experiment 1, lead exposure produced changes in locomotor activity which
differed during the  various  time  periods.  Exploratory activity was  initially
depressed in  lead-treated animals, but this difference disappeared by the fourth
day in  the maze. Also, the treatment effect  observed on day-1 diurnal activity
probably reflects a change  in the exploratory component of this activity which
is present on the first day. On  subsequent days, when  exploratory behavior is
no  longer a  part  of the diurnal activity, the treatment effects disappear. The
                                  6-15

-------
final treatment difference  in  activity  levels, observed throughout the 4-day
period, was the depressed  nocturnal activity.  It seems likely, therefore, that
the depressed total activity is a reflection of this difference. A selective dis-
ruption of nocturnal activity in the  rat has also  been  reported  by Norton
(1976) following  lesions of the globus  pallidus. In her experiments, residential
maze activity was increased approximately  200 percent  during the nocturnal
period.

The lack of  a lead effect  on adult locomotor activity levels in Experiment 2
may have been due to the  choice of the animal supplier (Charles River). Since
Charles River animals are normally  less active in the maze, it may  be difficult
to  lower their activity further  with treatment.  This reasoning, however, is
speculative, and certainly other differences in experimental protocol (i.e., dose
and period of exposure) may account for these differences in observed activity
between the two experiments.

Although there was no treatment effect on activity  levels perse, lead exposure
in Experiment 2 did result in a disruption of the nocturnal  ultradian rhythm.
However, this disruption cannot be attributed solely to  lead treatment,  since
some change in  the  rhythm was observed in the pair-fed (undernourished)
animals. Nevertheless, these results demonstrate that an  alteration in the bio-
logical activity rhythm can  occur  with no accompanying alteration  in the
overall activity level. This finding presents an interesting situation.  If one were
to sample activity from rats in an established environment at 10 p.m. (4 hours
into the nocturnal period), he would  observe hypoactivity. Sampling at mid-
night would  yield no difference in the activity levels. Finally, if measurements
were made at 5 a.m., it would appear that treatment had produced a hyper-
activity (see Figure 6-11).

The hyperactivity observed in young animals exposed to lead (Experiment 2)
agrees well with the findings of Sauerhoff and Michaelson (1973) who reported
increased activity in  28-day-old animals. Sauerhoff (1974) also  found  that
lead-induced hyperactivity disappeared as the animals matured. This transient
increase in activity may represent a delay in the animal's normal development.
Some reports indicate that during the first 3 weeks of life, rats undergo normal
developmental  changes in  activity  with the peak  level  of  activity  occurring
between 15  and  20 days of age (Campbell  et a/., 1969).  Since lead exposure
has been shown to delay normal brain development in the rat, as indicated by
delayed reflex development (Reiter et al.f  1975; Reiter and Ash, 1976), the
possibility exists that lead is simply delaying this normal developmental pattern
of activity.

In  both experiments, the  locomotor  response to  d-amphetamine was  atten-
uated  in lead-treated  animals.  This attenuated drug response has been  pre-
viously reported  in mice  (Silbergeld and Goldberg, 1974) and rats (Sobatka
and Cook, 1974). Furthermore, this diminished responsiveness to amphetamine
has  been observed when baseline activity levels of  lead-treated animals were
elevated (Silbergeld and Goldberg,  1974),  normal  (Sobatka and Cook,  1974;
Experiment 2 of  the present study), or depressed  (Experiment 1 of the present
study).  This dissociation between the attenuated amphetamine response and
                                  6-16

-------
the baseline level of activity in lead-treated animals would suggest that differ-
ent neural  systems are  involved in these  two responses. The work of Creese
and  Inversen (1975) has demonstrated that  the integrity of the nigro-striatal
pathway is essential for the  locomotor response to amphetamine. It has also
been  suggested  that a  cholinergic link is involved  in  the  regulation of the
nigro-striatal dopaminergic pathway (Bartholini et a/., 1975). Since lead expo-
sure has been reported to affect both the aminergic (Sauerhoff and Michaelson,
1973; Goiter and  Michaelson, 1975; Silbergeld and Goldberg, 1975) and cho-
linergic (Modak et a/.,  1975) systems in  the brain, it is possible that lead is
affecting the nigro-striatal  pathway resulting in an altered  amphetamine  res-
ponse. However, until such an effect can be demonstrated  directly, we must
also entertain  the possibility that lead treatment is altering the pharmacody-
namics of  amphetamine. By  modifying  the  distribution and/or metabolism
of amphetamine, lead treatment could be producing an attenuated response
irrespective of a CNS effect.

References

Archer, J. (1973). Tests for emotionality in  rats and mice:  A review. Anim.
   Behav. 21, 205-235.

Bartholini,  G., Stadler, H., and  Loyd,  K. G. (1975). Cholinergic-dopaminergic
   interregulations within the extrapyramidal system.  In Cholinergic Mecha-
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Cahill, D.  F.,  Reiter,  L. W.,  Santolucito,  J.  A., Rehnberg,  G.  I., Ash, M. E.,
   Favor, M. J., Bursian, S. J., Wright, J. F., and Laskey, J. W. (1976). Bio-
   logical assessment of continuous exposure to  tritium and lead in  the rat.
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Cambell, B. A., Lytle, L. D.,  and Fibiger,  H.  C. (1969). Ontogeny of adrener-
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   359-361.

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   ingestion of  lead on the  central  cholinergic system  in  rat brain  legions.
   Toxicol. Appl. Pharmacol. 34, 340-347.

                                  6-17

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Norton, S. (1976). Hyperactive behavior of rats after lesions of the globus palli-
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Norton, S., Culver, B., and  Mullenix, R.  (1975a). Measurements of the effects
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   131-138.

Norton, S., Culver, B., and  Mullenix, P.  (1975b). The development of noctur-
   nal behavior  in albino rats. Behav. Bio/. 15,  317-331.

Norton, S., Mullenix, P., and Culver, B. (1976). Comparison of the structure
   of hyperactive behavior  in  rats after brain damage from x-irradiation, car-
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 Reinberg, A.  and Halberg I.  (1971). Orcadian chromopharmacology. Annu.
   Rev. Pharmacol. 11, 455-492.

 Reiter, L. W.  (1977). Effects  of early  postnatal  exposure to neurotoxins.
   J. Occup. Med.  19, 201-204.

 Reiter, L W.,  Anderson, G. E.,  Laskey, J. W., and Cahill, D. F. (1975). Devel-
   opment and behavioral  changes in the  rat during  chronic exposure to lead.
   Environ. Health Perspect. 12, 119-123.

 Reiter, L. W.  and Ash,  M. E. (1976).  Neurotoxicity during lead exposure in
   the rat. Toxicol. Appl. Pharmacol. 37, 160.

 Sauerhoff, M.  W.  (1974). Neurochemical  correlates of lead encephalopathy in
   the  developing rat. Ph. D.  Dissertation.  Univ.  of Cincinnati, Ann Arbor
   Univ. Microfilm.

 Sauerhoff, M.  W.  and Michaelson, I. A. (1973). Hyperactivity and brain cate-
   cholamines  in  lead-exposed  developing  rats.  Science  182,  1022-1024.

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 Silbergeld, E.  K.  and Goldberg,  A.  M.  (1975). Pharmacological  and neuro-
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 Sobatka, T. J.  and Cook, M. P. (1974).  Postnatal lead acetate exposure in rats:
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   5-9.


 Acknowledgment

 We wish to thank  Mr. Ronnie McLamb  and Ms, Karen Kidd for their technical
 assistance in various phases  of this work.
                                 6-18

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                    7. ALTERED BEHAVIORAL
 PATTERNING  IN RATS POSTNATALLY
         EXPOSED TO  LEAD:  THE  USE OF
              TIME-LAPSE PHOTOGRAPHIC
                                             ANALYSIS

                     PHYLLIS MULLENIX
             Department of Environmental Health Sciences
         The Johns Hopkins School of Hygiene and Public Health
Introduction

Researchers commonly measure changes in levels of spontaneous locomotor
activity to assess effects of CNS toxicants,  drugs, and specific brain lesions on
behavior. Most methods measuring activity, however, are restricted to quanti-
fying changes in frequency, or possibly even duration, of a few select behav-
iors. This  restriction allows the all-too-common possibility of finding an ani-
mal hyperactive  with one method but not with another. For example, rats
chronically exposed to low levels of lead were found hyperactive in a Y-maze
and in a tilt-box, but not in a running wheel (Kostas et a/,, 1976). Here, a
toxicant's  qualitative  effect on locomotor  activity depends upon the method
of measurement; the  method's capabilities, rather than the animals' behavior
are dictating the results. This is a recurrent problem in behavioral toxicology,
even when parameters such  as habituation, presence of other animals, and
timing during the light-dark cycle are kept constant.

Perhaps in a situation where a toxicant's effect on locomotor activity is incon-
sistent between methods,  all possible parameters comprising changes in activity
should be measured. Norton (1973) has postulated that changes in activity may
consist of  changes in sequential patterning  as well as changes in frequency and
duration  of behavioral  acts. All  three—patterning,  frequency, and  dura-
tion—were altered in hyperactivities induced by amphetamine (Norton, 1973),
•Supported in part by the EHS Grants 00034 and 00454.


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globus pallidus lesions, carbon monoxide, and  x-irradiation  (Norton et al.,
1976). However, hyperactivity induced by morphine consisted only of changes
in frequency  and  duration of behavioral  acts  (Norton,  personal communi-
cation). Theoretically,  it is possible that any one, either patterning, frequency,
or duration, could be  altered independently  of  the other two. Distinguishing
changes in the patterning, frequency,  and duration  of many  behavioral acts
would certainly define  alterations in  locomotor activity more accurately and
perhaps result  in more consistent findings.

The  purpose of this study is to measure  the frequencies, durations, and pat-
terning of behaviors  in rats exposed postnatally  to lead and their responses to
the CNS stimulant, amphetamine. Exposure of rats postnatally to lead appar-
ently produces an  inconsistent effect on spontaneous locomotor activity; both
hyperactivity  (Sauerhoff  and Michaelson, 1973) and no  change in activity
(Sobotka  and Cook, 1974; Grant et al.,  1976)  have been reported.  As indi-
cated  in the study by Kostas and coworkers (1976), the method selected to
monitor general activity  in lead-treated  rats may itself contribute to incon-
sistent findings. Perhaps the measurements proposed in this study can further
understanding of the possible role a method of measurement may play in the
inconsistent effect of lead upon spontaneous locomotor activity.

Methods

Charles River  female rats (Sprague-Dawley derived proven breeders, 300-350 g)
were  mated with proven  breeder males of the same strain. At parturition  all
litters were  reduced to eight pups, and 5 mg/ml lead acetate were  dissolved
in boiled  distilled  water which was supplied ad libitum as drinking water to
one group of mothers. This method of lead administration  is routinely used at
this  concentration  to  produce hyperactivity  in mice (Silbergeld and Gold-
berg, 1973, 1974, 1975).  Drinking water containing lead was replaced with
regular tap  water  after  the  first  10  days of the  pup's suckling period.  Re-
stricting administration of lead-treated drinking water to  the  first  10 days
after  parturition was  an  attempt to minimize  the  effect  of  lead  on  body
weights of suckling  pups  and  yet  still expose the pups during their critical
period of sensitivity to lead  (Brown, 1975). The other group of mothers  re-
ceived tap water during this period. At 28 days  of age, all  pups  were weaned,
separated  according  to sex,  and  housed  in small  groups in standard animal
facilities. All rats received  Purina Rat Chow and water ad libitum.

The  animals were tested when they were 4 or 6 weeks, or 4 or 5 months old.
At each age their  body weights were recorded.  A total of 22 groups of lead-
treated and 22 groups  of controls  were studied, including 6  groups of lead-
exposed and 6 groups  of controls at each  age, except at 4  months when only
4 lead-exposed and 4 control groups were tested. The  groups, each consisting
of 4  rats of  one  sex  from  a  single  litter, were independent  and randomly
selected at each age. An equal number of male and female groups were studied.

Frequency, duration, and patterning of animals' behaviors were measured using
time-lapse photography.  Experimental procedure was similar to that described
by Norton (1973). One lead-exposed and  one control rat were placed in oppo-
site sides  of a  plexiglas cage, which was divided by  a clear center panel. The

                                  7-2

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rats were then filmed  simultaneously as they explored the novel environment.
They were filmed  at  a rate of one frame per second for the first 15 minutes
they were in the cage. All rats filmed were identified by number only, so that
each animal's  behavior was analyzed  without  reference to its treatment. Re-
searchers viewed films of the animals  and recorded one of the following body
positions of the rat for each frame: standing (ST), walking (WA), sitting  (SI),
rearing  (RE),  or  lying down (LD). Furthermore, if present, one of the fol-
lowing behaviors was  also recorded for each frame: scratching (SC), grooming
(GR), washing face (WF), head bobbing (BO), turning (TU), pawing (PW), snif-
fing (SN)> head turning (HT), smelling (SM), or looking (LO). Norton (1973)
has previously described these behavioral acts in detail,  and good  inter- and
intra-observer  reliability for recognizing each individual act has been reported
(Norton eta/., 1976).

Computer  programs,  similar to  those used in the  study  by  Norton and co-
workers (1976), facilitated determinations of frequency, duration, and pat-
terning  of the various behaviors. The frequency  of each  behavior was deter-
mined from the total  number of  frames (or seconds)-the behavior was observed
during the 15-minute  film of each rat. Average duration of each behavior was
determined from the  average number of  consecutive frames (or seconds) that
a behavior continued, once it was initiated. Frequency and average duration of
each behavioral act were compared in lead-exposed and control rats using the
t-test.

Patterning of behaviors in control  and lead-exposed rats was compared by first
determining the number  of intervals where any two different behaviors oc-
curred within 5 seconds of each other. This determination was accomplished
by  dividing the 15-minute film of  each rat into 5 consecutive second intervals,
then recording the number of 5-second intervals where two different, specified
behaviors occurred. This determination was combined for all  rats in a group.
The occurrence of two different behaviors within 5 seconds of each other was
defined as  a "linkage" or  "pairing" of  those behaviors. For example, in the
first 5 seconds of a film, if the behavior, rearing, occurred and if the behavior,
pawing, also occurred at any time within the first five seconds, then one inci-
dent of rearing linked with pawing was recorded. This scoring was continued
for remaining 5-second intervals  and  for all possible pairs of behaviors. In this
study, since  15 different behaviors were  scored, n(n-1)/2 or 105 pairs of two
different behaviors were possible.

Observed  occurrences of paired  acts  within 5-second intervals were  compared
with expected occurrences, and  the chi-square value (goodness-of-fit) was ob-
tained for each pair for all groups of rats.  A matrix of so determined chi-square
values for control groups was set up with the rows and  columns arranged to
obtain  the maximum numerical value in  the diagonal adjacent to the main
diagonal of the matrix.  This optimal arrangement was obtained in order to
determine  the most  probable or  preferred sequence  of  behaviors in control
rats. The optimal sequence for control rats in this study was the same as that
previously reported for controls (Norton et al.,  1976): LD-WF-SI-GR-SC-BO-
WA-TU-RE-PW-SN-HT-SM-ST-LO.  To determine if lead-exposed  rats linked
                                  7-3

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behaviors  in  this sequence  as frequently as did controls, the observed fre-
quencies of each pair of acts in this  sequence in  lead-exposed groups were
averaged and compared with those for  corresponding control  groups using the
Wilcoxon  signed rank test. This comparison is referred to in the following re-
sults as the "main diagonal" comparison.

From the matrix of chi-square values, ,it was observed (Norton et a/., 1976)
that within the optimal sequence of behaviors, there were three clusters  of
closely associated acts, based  upon the  high chi-square values for association
of certain pairs. These clusters were labeled grooming, exploratory, and atten-
tion clusters. The grooming cluster included the behaviors lying down, washing
face, sitting, grooming, and scratching. The exploratory cluster included head
bobbing, walking, turning, rearing, pawing, and sniffing; the  attention cluster
included  head turning,  smelling, standing, and looking.  In this study,  the
average frequency or number of 5-second intervals  where each act was linked
with other acts in the same cluster was compared in lead-exposed and control
groups  using  the Wilcoxon signed  rank  test.  These  results  are presented as
comparisons of paired behaviors within clusters (grooming, exploratory, and
attention). Furthermore, using the same statistical test, the average frequency
or  number of 5-second intervals where  each act of one  cluster was linked to
each act  in  another cluster was also  compared in lead-exposed and control
groups. These results are presented as comparisons of paired behaviors between
clusters (grooming  linked with exploratory, grooming linked with attention,
and exploratory linked with attention).

At six weeks of age, control and lead-exposed rats were filmed before receiving
amphetamine and again the next day after  receiving a subcutaneous injection
of  0.5 mg/kg d-amphetamine  hydrochloride in normal saline.  The injections
were given 30 minutes prior to filming so that during the time the animals were
filmed, between 30 and 45 minutes  after  injection,  the maximum effect of
amphetamine at this dose would be observed (Norton, 1973). The frequency,
duration,  and  patterning of behaviors  after amphetamine were compared in
control and lead-exposed rats as previously described.

Results

Average body weight of lead-exposed rats was not significantly lower than con-
trols at any age their behavior was tested (Table 7-1).  In general, weight differ-
ences between control and lead-exposed rats were insignificant, except for the
slightly heavier weight of 6-week-old lead-exposed females.

Significant differences in frequency  and duration (using the f-test) and in pat-
terning (using the  Wilcoxon  signed  rank  test)  of behaviors were observed
between male and  female  rats at all ages, whether they  were control or lead-
exposed.  Such differences precluded  combining male and female data. How-
ever, since this study was not specifically designed to delineate sex differences,
further studies must be conducted to determine if these  differences were real.
Frequency of Behavior Acts
Frequency (total seconds of occurrence) of most behavior acts in lead-exposed
animals, both males (Table  7-2)  and females (Table 7-3), did not differ signifi-
cantly from that in controls, whether they were 4 or 6 weeks or 4 or 5 months
of age.
                                   7.4

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                   Table 7-1. AVERAGE BODY WEIGHTS (g±_SE)


Sex Age
Males 4 wks
6 wks
4 mo
5 mo
Females 4 wks
6 wks
4 mo
5 mo
Controls
No. of
animals
35
22
8
17
20
16
8
16
Average
weight
76 t 2
195 ±_ 2
498 ±_ 8
577 t 9
73 t 3
147 t 4
282 t 10
301 ±.8
Lead-treated
No. of
animals
33
19
8
19
30
21
8
18
Average
weight
76 t 3
193 t 4
508 t 9
575 t 9
71 t 2
157 t 3a
295 t 10
316 *• 6
 Significant difference between lead-treated and controls (t-test, p ( 0.05).
     Table 7-2. TOTAL OCCURRENCES OF BEHAVIORAL ACTS IN MALE RATS
                                      (Av+_SE)a
                                                      Age
Behaviors
Controls
LD
SC
GR
SI
WF
BO
WA
TU
RE
PW
SN
HT
SM
ST
LO
Lead-treated
LD
SC
GR
SI
WF
BO
WA
TU
RE
PW
SN
HT
SM
ST
LO
4 Weeks

0
6 t 2
69 t 15
165 t 30
86 t 14
15 t 2
33 t 3
44 ±.3
72 t 9
16 t 3
19 t 3
88 t 7
224 ±_ 19
638 +_ 35
96 t 11

0
1 ±_ 1
32 ±_ 4b
112 t 10
75 ±_ 9
11 t 2
35 t 4
43 t 3
87 t 15
15 t 3
30 ± 6
89 ±9
276 ±_ 16°
667 t 14
100 t 11
6 Weeks

13 ±_ 9
4 t 2
1 02 t 1 2
168 t 13
62 t 5
8 t 1
45 t 5
38 t 4
117 ± 14
19 t 3
46 t 7
85 t 5
205 t 14
557 ± 21
91 t 8

39 ± 18
1 t 0
57 t 9b
1 33 t 1 5
72 t 7
8±_ 1
32 ±_ 5
32 t 4
96 t 13
16 ±_ 6
40 ± 9
95 ±6
193 ± 16
600 ±_ 22
80 t 7
4 Months

68 t 22
2 t 2
95 t 15
200 ±_ 29
93 ± 24
8±_ 1
12 t 3
21 t 4
1 1 1 t 20
26 ±. 9
23 t 6
65 t 8
183 ±. 22
509 t 27
86 t 1 1

52 t 28
1 t 1
1 12 t 23
200 ±_ 31
82 t 12
6 t 1
13 ±_ 2
21 t 4
109 t 15
22 ± 5
51 t 17
63 t 5
212 ±_ 12
527 ±_ 38
69 t 12
5 Months

77 t 44
4+3
112 ± 23
195 ±_ 37
69 ±_ 10
8 t 2
8 +_ 1
15 ±_ 2
89 ± 13
25 t 5
21+7
49 ±_ 4
130 t 12
531 t 39
99 +_ 1 1

81 ±_ 25
1 + 1
105 ±23
196 t 34
74 t 9
10 ± 1
9 t 3
18 ±_ 3
81 ±_ 20
17 ±- 6
31 t 8
51 ±_ 3
165 ± 15
534 ±_ 41
57 +_ 5b
aControl N  = 12 and lead-treated N =  12 per  age group, except control  N = 8 and lead-
 treated N = 8 at 4 months.

DSignificant difference between lead-treated and control groups (t-test, p {o,05).
                                       7-5

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  Table 7-3.  TOTAL OCCURRENCES OF BEHAVIORAL ACTS IN FEMALE RATS
                                (Av ±_ SE)a

Behaviors
Controls
UD
SC
GR
SI
WF
BO
WA
TU
RE
PW
SN
HT
SM
ST
LO
Lead-treated
LD
SC
GR
SI
WF
BO
WA
TU
RE
PW
SN
HT
SM
ST
LO
Age
4 Weeks

0
5 t 1
42 i 7
97 t 11
56 t 6
11 t 2
46 t 4
51 i 4
84 t 10
15 t 3
38 t 5
1 04 t 7
254 t 16
673 t 16
96 t 9

0
5 t 1
44 t 7
131 i 13b
77 t 10
8 t 2
43 t 5
46 ±_3
88 t 14
16 t 3
40 t 5
89 t 8
258 t 22
638 t 18
102 ±_ 12
6 Weeks

2 t 1
5t 3
54 t 11
107 t 16
52 t 6
9 t 2
55 t 7
45 t 6
122 t 14
23 t 3
52 t 8
87 t 7
256 t 21
614 t 29
81 t 11

5 t 5
7 ±.3
73 t 13
140 t 20
66 ±8
9 t 2
42 t 4
44 t 5
102 t 8
13 ±_2D
47 t 9
83 t 6
240 t 21
612 t 14
95 t 8
4 Months

37 t 29
5 ±_3
83 t 21
150 t 32
62 t 12
6 ±_2
27 t 2
24 t 3
186 t 41
16 t 3
24 t 3
63 t 6
268 t 16
504 ±_ 45
100 t 16

19 t 15
1 t 1
69 t 14
141 t 25
62 t 11
4 t 1
26 t 2
32 t 20
185 t 19
30 t 5b
50 t 13
66 t 6
318 dL 20
528 ±_ 24
93 t 9
5 Months

10 t 5
5 t 2
64 t 17
1 24 t 23
49 ±- 6
5 t 1
28 t 2
31 t 2
244 t 22
30 t 4
29 t 6
60 t 4
282 t 12
495 t 24
118 t 12

31 ±.18
6 t 3
84 t 14
155 ±.21
56 t 8
5 t 1
26 t 3
31 t 3
223 +.27
35 t 6
34 t 9
55 ±- 4
282 ±- 19
465 ±- 25
87 ±-9b
aControl N = 12 and lead-treated N = 12 per age group, except control N = 8 and lead-
 treated N = 8 at 4 months.

"Significant difference between lead-treated and control groups (t-test, p (o.05).
 Duration of Behavior Acts

 For all ages at which the animals were tested, average durations of most behav-
 iors in lead-exposed males (Table 7-4) and females Table 7-5) were not signifi-
 cantly different from those in male and female controls respectively.

 Patterning of Behavior

 Patterning of behavior in lead-exposed groups was significantly different from
 that in controls. At  all ages, significantly fewer occurrences of the pairing of
 different behaviors within  5-second intervals were observed in lead-exposed
 males  (Table  7-6). This difference was maximum in 6-week-old animals. At
 that age, there were significantly fewer occurrences  (1) of behaviors being
 linked in the optimal sequence characteristic of controls, (2) of each  explor-
 atory behavior being  linked with other exploratory behaviors, (3) of attention
                                   7-6

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behaviors being linked with other attention behaviors, and  (4) of exploratory
behaviors being  linked with attention  behaviors  within 5-second  intervals.
Fewer occurrences  of paired exploratory  behaviors were still  observed at 4
months, and decreased pairing of  behaviors within the grooming cluster was
also observed in 4-week- and 5-month-old lead-exposed males.
          Table 7-4. DURATIONS OF BEHAVIORAL ACTS IN MALE RATS
                              (Av Sec/Rat ± SE)a

Behaviors
Controls
LD
SC
GR
SI
WF
BO
WA
TU
RE
PW
SN
HT
SM
ST
LO
Lead-treated
LD
SC
GR
SI
WF
BO
WA
TU
RE
PW
SN
HT
SM
ST
LO

4 Weeks

0
2.3 i 0.7
3.9 t 0.4
12.4 t 1.9
5.5 i 0.5
1.0 t 0.01
1.2 t 0.02
1.1 ±. 0.02
2.1 t 0.1
1.3 ± 0.1
1.5 t 0.2
1.2 t 0.01
2.1 i 0.1
10.2 t 1.6
1 .4 t 0.04

0
1.0 ±_ 0.3
3.1 ±.0.5
10.2 t 1.3
5.3 t 0.4
.1 t-0. 03
.2 t 0.04
.0 t 0.01b
2.4 t 0.1
.3 t 0. 1
.6 t 0.1
.1 ± 0.02
2.4 t 0.1
10.3 ±_ 1.0
1.5 t 0.05
A
6 Weeks

8.9 t 6.9
1.6 i 0.5
6.3 t 0.6
18. 3 ± 1.7
4.7 t 0.4
1.0 tO
1.2 t 0.03
1.1 t 0.02
3.0 t 0.2
1.6 ± 0.1
2.0 ±0.2
1.1 ±.0.01
2.0 ±.0.04
7.9 t 0.8
1.4 t 0.04

17.0 t 8.7
1.0 t 0.3
4.5 t 0.5b
14.7 t 1.4
5,5 t 0,4
1,0 t 0.02
1.2 t 0.02
1.1 i 0.02
2.7 t 0.1
1.5 t 0.2
2.0 ±.0.2
1.1 t 0.02
2.0 t 0,1
10.4 t 1.1
1.4 t 0.05
ge
4 Months

27.7 i 8.0
1.0 ±.0.5
7.3 t 0.9
19.8 t 2.1
6.7 t 0.9
1.0 ±.0.01
1.2 ±.0.1
1.2 t 0.03
5.6 t 0.5
2.2t 0.2
1.8 ±. 0.3
1.1 ±. 0.02
2.4 t 0.2
14.4 t 2.4
1.7t 0.1

14.8 t 8,1
1.0 ±.0.4
10.1 t 0.8b
25.2 t 4.5
8.3 ±. 1.5
1.0 to
1.2 t 0.1
1.1 ± 0.03
5.3 t 0.5
1.9 t 0.2
3,0 t 0.4b
1.1 t 0.02
2.6 t 0.1
14.9 t 2.2
1.5 t 0.1

5 Months

43.3 t 35.3
1.0 t 0.3
7.5t 0.9
23. 7 t 3.7
6.0t 1.0
1.1 ± 0.04
1.2t 0.1
1.1 t 0.01
5.0 t 0.5
2.3t 0.2
2.2 t 0.3
1.1 t 0.02
2.5 t 0.2
22. 7 t 5.8
2.5 t 0.4

19.0 t 5.0
1.0 t 0.2
9.7 t 1.2
28.2 ±. 4.6
8.8 t 0.8b
1.1 t 0.03
1.0 t 0.1
1.1 t 0.02
4.8 t 0.4
1.7 t 0.2
2.3 t 0.3
1.1 t 0.02
2.5 t 0.1
21.7 t 5.0
1.6 t 0.1b
  Control N = 12 and lead-treated N   12 per age group, except control N = 8 and lead-
  treated N = 8 at 4 months.

 '•'Significant difference between lead-treated and control groups (t-test, p (0.05).
                                    7-7

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        Table 7-5.  DURATIONS OF BEHAVIORAL ACTS IN FEMALE RATS
                                (Av Sec/Rat ±SE) a

Behaviors
Controls
LD
SC
GR
SI
WF
BO
WA
TU
RE
PW
SN
HT
SM
ST
LO
Lead-treated
LD
SC
GR
SI
WF
BO
WA
TU
RE
PW
SN
HT
SM
ST
LO
'Age1
4 Weeks

0
1.8 t 0.4
3.0 t 0.4
8.1 ± 1.1
4,3 ±0.3
1.0 t 0.01
1.2 tO. 02
1.1 ± 0.01
2.4 ± 0.1
1.3 ± 0.1
1.7 t 0.1
1.2 ± 0.03
2.1 t 0.1
9.2 ± 1.0
1.4 ± 0.04

0
2.1 ± 0.5
3.4 ± 0.4
10.3 t 1.4
4.9 t 0.7
1.0 ± 0.1
1.2 ± 0.03
Lit 0.02
2.3 t 0.1
1.3 t 0.1
1.6 t 0.1
1.2 t 0.03
2.2 t 0.1
8.8 t 1.1
1.5 t 0.05
6 Weeks

1.8 t 1.5
1.1 t 0.4
3.6 t 0.5
15.4 t 2.6
6.6 t 1.8
1.0 t 0.1
1.2 t 0.02
1.1 t 0.02
3.0 t 0.1
1.5 t 0.1
1.9 t 0.2
1.1 t 0.02
2.2 t 0.1
11.4 t 4.3
1.4 t 0.05

5.2 t '4.6
1.3 t 0.3
4.9 t 0.5
13.0 t 1.7
4.8 t 0.5
1.0 t 0.02
1.2 t 0.02
1.1 ± 0.02
2.7 t 0.1
1.3 t 0.1
2.0 t 0.1
1.1 t 0.02
2.2± 0.1
8.6 t 0.5
1.5 t 0.1
4 Months

11.1 t 8.6
1.1 t 0.4
6.4 t 0.9
19.4 t 3.5
5.9 t 1.0
1.0 t 0.02
1.2 t 0.03
1.1 t 0.03
5.0 t 0.5
1.6 t 0.1
2.0 t 0,1
1.1 t 0.03
2.8 t 0.1
10.4 t 2.5
1.6 t 0.1

10.2 t 7.6
1.0 t 0.3
7.4 t 1.3
19,0 t 4.9
4.6 t 0.4
1.0 t 0.04
1.1 t 0.03
1.1 t 0.02
5,2 t 0.3
2.0 t 0.3
2.5 t 0.3
1.1 t 0.02
2.9 t 0.1
8.9 t 0.6
1.5 t 0.1

5 Months

8.3 t 4.8
2.5 t 0.9
5.7 ± 0.8
13.9 t 2.1
4.7 t 0.3
1.0 t 0.02
1.1 t 0.02
1.1 ± 0.02
5.7 t 0.4
2.0 t 0.2
2.3 t 0.3
1.1 t 0.01
2,7 t 0.1
7.7 t 0.5
1.7 t 0.1

9.0 t 4.3
1.0 t 0.4
6.3 t 0.6
18.3 t 3,2
4.9 t 0.4
1.0 t 0.02
1.2 t 0.03
1.1 t 0.02
5.9 t 0.5
2.1 t 0.1
2.5 t 0.3
1.1 t 0.2
2. 7 ±0.1
8.5± 1,4
1.4 ±0.1
aControl N    12 and lead-treated N = 12 per age group, except control  N = 8 and lead-
 treated N = 8 at 4 months.

bSignificant difference between lead-treated and control groups (t-test, p { 0.05).
    Table 7-6. SIGNIFICANT EFFECTS OF POSTNATAL LEAD ON PATTERNING
                            OF BEHAVIOR IN MALESa
Age
Main diagonal
Grooming
Exploratory
Attention
Grooming linked
with exploratory
Grooming linked
with attention
Exploratory linked
with attention
4 Weeks

Decreased
P (0.05





6 Weeks
Decreased
P <0.01

Decreased
p (o.01
Decreased
p <0.05


Decreased
p<0.01
4 Months


Decreased
p<0.02




5 Months

Decreased
p<0.05





Significant differences using the Wilcoxon signed rank test, Occurrences of linked behav-
 iors within  5-second Intervals In lead-treated  groups are indicated as "decreased" or "in-
 creased" In  comparison to controls.
                                      7-8

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Patterning of behavior  in lead-exposed females at all ages tested  was signifi-
cantly  different from that in corresponding controls (Table 7-7). As in lead-
exposed males, more patterning differences in pairing of behaviors within 5-
second intervals were observed at 6 weeks of age than at any other age tested.
Also as in  lead-exposed males,  there were significantly fewer occurrences of
paired  exploratory behaviors and paired  exploratory and attention behaviors
in 6-week-old lead-exposed females than in controls. However, unlike pattern-
ing differences between lead-exposed  and control  males, pairing of different
behaviors in lead-exposed females did  not always decrease with respect to con-
trols. More frequent occurrences of different behaviors linking within 5-second
intervals were  apparent in  lead-exposed  females at  6 weeks and  at  4 and 5
months of age.
    Table 7-7. SIGNIFICANT EFFECTS OF POSTNATAL LEAD ON PATTERNING
                        OF BEHAVIOR IN FEMALES3
Age
Main diagonal
Grooming
Exploratory
Attention
Grooming linked
with exploratory
Grooming linked
with attention
Exploratory linked
with attention
4 Weeks



Decreased
p <0.05


Decreased
p <0.02
6 Weeks


Decreased
p <0.01


Increased
p <0.01
Decreased
p <0.01
4 Months



Increased
p (o.05


I ncreased
p <0.05
5 Months

Increased
p (0.05
Decreased
P (0.05




aSlgnificant differences using the Wilcoxon signed rank test. Occurrences of linked behav-
  iors within 5-second intervals in lead-treated groups are indicated as "decreased" or "in-
  creased" in comparison to controls.
 Behavior After Amphetamine

 There was very little difference in the behavior of controls and the behavior of
 lead-exposed rats after both had received amphetamine at 6 weeks of age. With
 respect to frequency (Table 7-8) and duration (Table 7-9) of most behaviors,
 there were no significant differences after amphetamine between control and
 lead-exposed rats. This result was similar to that observed prior to administra-
 tion of drug. Whereas there were many  significant differences in  patterning of
 behavior  between control and  lead-exposed male groups prior to drug (Table
 7-6), after amphetamine there  appeared to be none.  The  frequencies with
 which behaviors were paired in the control optimal sequence and the frequen-
 cies with which different behaviors within  and between clusters were paired
                                   7-9

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 were not significantly different between control and lead-exposed males after
 both had received amphetamine. However, unlike the males, there were signi-
 ficant differences between control and lead-exposed females in their behavioral
 patterning  both before  (Table 7-7) and  after amphetamine. The differences
 after amphetamine  consisted  of significantly  more occurrences,  using the
 Wilcoxon  signed  rank  test, of  linked grooming  and exploratory  behaviors
 (p < 0.05) and of linked exploratory and attention behaviors (p ( 0.05).
  Table 7-8. TOTAL OCCURRENCES OF BEHAVIOR ACTS IN 6-WEEK-OLD RATS
      AFTER AMPHETAMINE (0.5 mg/kg) AVERAGE t STANDARD ERROR

Behaviors
LD
SC
GR
SI
WF
BO
WA
TU
RE
PW
SN
HT
SM
ST
LO
Males
Control
0
3 t 2
73 t 12
140 £ 16
60 ±. 6
15 t 3
56 t 9
38 t 6
93 t 11
11 ± 1
28 t 6
108 t 8
212 t 26
610 t 14
146 t 20
Lead-treated
0
2 t 1
41 t 1 1a
108 £ 26
63 t 15
10 t 2
42 t 8
40 t 8
87 ±_ 22
13 t 3
70 i 24
97 t 8
220 t 22
663 t 27
127 t 28
Females
Control
0
3 t 1
43 ± 12
97 t 17
50 t 7
12 t 3
66 t 5
44 ±_ 5
1 08 t 1 3
13 t 2
37 t 10
110 t 9
270 t 16
629 t 23
1 32 t 1 1
Lead-treated
0
2 t 1
31 t 10
74 t 16
41 ± 6
9 t 1
63 t 5
56 ± 4
119 t 20
9 t 2
52 t 11
98 t 4
256 i 14
645 ±_ 21
168 t 148
"Significant difference between control and lead-treated groups after amphetamine (t-test,
 p (0.05).
    Table 7-9. DURATIONS OF BEHAVIOR ACTS IN 6-WEEK-OLD RATS AFTER
              AMPHETAMINE (0.5 mg/kg) AVERAGE DURATION IN
   	SECONDS JL STANDARD ERROR	
Behaviors
LD
SC
GR
SI
WF
BO
WA
TU
RE
PW
SN
HT
SM
ST
LO
Males
Control
0
1.0 t 0.3
4.4 ±_ 0.5
13.8 t 1.5
3.8 t 0.3
1.0 ±_ 0.03
1.3 t 0.05
1.1 t 0.02
2.3 ±_ 0.2
1.1 ±. 0.05
1.3 ± 0.1
1.1 t 0,02
1.8 t 0.1
7.8 ±_ 1.1
1.6 t 0.1
Lead-treated
0
1.5 t 0.8
3.9 ±_ 0.5
12.7 ±. 1.3
4.5 ± 0.4
1.0 t 0
1.2 t 0.04
1.1 t 0.03
2.3 t 0.1
1.2 t 0.1
2.2 t 0.2a
1.1 ±_ 0.01
2.0 ±_ 0.1
1 1.5 t 2.3
1.7 t 0.3
Females
Control
0
1.2 t 0.4
3.5± 0.5
10.5 t 1.5
4.2 t 0.4
1.0 t 0
1.2 i 0.04
1.1 t 0.01
2.5 t 0.2
1.2 t 0.05
1.4 t 0.1
1.2 ±_ 0.03
2.0 t 0.1
7.2 i 0.8
1.5 t 0.1
Lead-treated
0
1.5 t 0.7
3.2 t 0.4
6.6 t 0,6B
3.6 t 0.2
1.0 t 0.01
1.2 t 0.02
1.1 ± 0.02
2.2 t 0.1
1.2 t 0.1
1.7 t 0.1
1.1 t 0.02
1.9 t 0.1
7.2 t 0.7
1.6 t 0.1
Significant difference between control and lead-treated groups after amphetarnln  (t t
 p \ 0.05).                                                                   '
                                   7-10

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Discussion

This study  was carried out to measure the frequency, duration, and patterning
of behaviors in lead-exposed  and control rats at various ages and after adminis-
tration of amphetamine. Since the only major  difference  between control and
lead-exposed rats was in the  patterning of their behaviors, routine methods for
monitoring  locomotor  activity  would not  have been useful in defining this
difference.  The insignificant  differences  in frequency and duration of most
behaviors in lead-exposed rats in this study were definitely not consistent with
frequency  and duration changes observed in rats found hyperactive in a resi-
dential maze. Rats that were hyperactive in a  residential  maze (Norton et a/.,
1976) demonstrated significant  increases in frequency of locomotor behaviors,
such as  bobbing,  walking, turning, rearing, pawing, and sniffing. Concomi-
tantly, frequencies of grooming behaviors—lying down, scratching, grooming,
sitting, and washing face—decreased, as did the frequencies of attention behav-
iors—standing, head turning, smelling, and looking. Duration of most behaviors,
except that of walking, was  shortened in hyperactivity. Perhaps when the fre-
quency and duration changes characteristic  of hyperactivity occur, methods
measuring  activity would be sufficient to consistently detect differences.  But
in the absence of such  changes and when differences exist in  behavioral patter-
ning only,  results from  various activity methods may vary  because the methods
monitor different behaviors with varying sensitivities for a  behavior's frequency
and duration.

There is  the possibility that  if lead-exposed rats in this study had been filmed
during the nocturnal period of  their light-dark cycle, frequency and duration
of their  behaviors may  have changed in accordance with hyperactivity. This
possibility  is lessened, however,  by the observation that rats with  globus palli-
dus lesions are hyperactive only at night in a residential maze (Norton, 1976);
yet when they are filmed during the day, the frequency and duration of their
behavior acts are still  indicative  of hyperactivity. This  observation  suggests
that regardless  of when  rats  are found hyperactive with  a  maze  activity
method, basic components of hyperactivity,  which can be quantified by time-
lapse photographic analysis of diurnal exploratory behavior, may exist through-
out the animals' light-dark cycles.

Behavior pattern analysis indicated that the number  of intervals when certain
different behaviors occurred within 5 seconds of each other in lead-exposed
animals was often significantly  different from  that in corresponding controls.
This difference was maximum in the 6-week-old animals. In lead-exposed males
at that  age, there were fewer 5-second  intervals when exploratory behaviors
were linked  with  other  exploratory behaviors,  when  attention behaviors
were linked with other attention behaviors,  and when  attention behaviors
were linked with exploratory behaviors. Furthermore, fewer occurrences of
behavior pairs comprising the control optimal sequence were  observed, perhaps
indicating that lead-exposed males had established a different optimal sequence
of behaviors. However, further pattern analyses are necessary to test this possi-
bility. There were fewer patterning differences between  control and lead-ex-
posed males at the  other ages.  This peaking of altered behavior pattern at 6
weeks  of age  may  perhaps  be  comparable  to hyperactivity that peaked in
                                   7-11

-------
young rats postnatally exposed to carbon monoxide (Culver and Norton, 1976)
and in children (Weiss et a/., 1971); then, in both instances, the hyperactivity
diminished with age.

Certain  patterning differences between lead-exposed females and their corre-
sponding controls were dissimilar to those between control and  lead-exposed
males. More frequent occurrences of certain behavior pairs were observed in
6 week and older lead-exposed  females,  but at no age was this increased fre-
quency  of behavior pairing observed in lead-exposed males. These results indi-
cate the necessity of observing lead's effect on behavior in both sexes.

Behavior  pattern  differences  between 6-week-old  control  and  lead-exposed
male  rats disappeared  after administration of amphetamine. After 0.5 mg/kg
amphetamine, there were practically no differences in frequency, duration, or
patterning  of  behaviors  between  control  and  lead-exposed males.  Conse-
quently, the "paradoxical" effect  of amphetamine, consisting of decreasing
rather than  increasing activity in lead-exposed mice (Silbergeld and Goldberg,
1974), was  not apparent in lead-exposed rats. There were also no significant
differences in  frequency and duration of most behaviors and fewer differences
in patterning  between control and lead-exposed  females after amphetamine.
However, some patterning differences between lead-exposed and control  fe-
males were still observed after amphetamine. The higher frequencies of linked
grooming and exploratory behaviors  and of linked exploratory and  attention
behaviors suggested that the qualitative effect of amphetamine in lead-exposed
females, with  respect to their controls, was not the same as that in lead-ex-
posed males.

This  study  demonstrates a situation  in which  quantifying changes  in behav-
ioral  patterning is paramount  to simply quantifying changes in activity levels.
It is possible that other CNS toxicants besides lead predominantly affect behav-
ioral  patterning,  and, if so, the analysis of patterning with time-lapse photo-
graphy  becomes  more than just a sensitive technique; it becomes a necessity.

 References

 Brown,  D. R.  (1975). Neonatal lead exposure in the  rat:  Decreased learning
    as a function of age and  blood lead  concentrations. Toxicol. Appl. Phar-
    macol. 32, 628-637.

 Culver,  B.  and  Norton, S. (1976). Juvenile hyperactivity  in rats  after acute
    exposure to carbon monoxide. Exp. Neurol. 50, 80-98.

 Grant,  L.  D., Breese, G.,  Howard,  J.  L, Krigman,  M. R., and Mushak, P.
    (1976).  Neurobiology of lead-intoxication in  the developing  rat. Fed Proc
    35,  1640.

 Kostas, J.,  McFarland,  D. J., and  Drew, W. G.  (1976). Lead-induced  hyper-
    activity. Chronic exposure during the neonatal period  in the rat. Pharma-
    cology 14, 435-442.
                                  7-12

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Norton, S. (1973). Amphetamine as a model for hyperactivity in the rat.
  Physiol. Behav. 11, 181-186.

Norton, S.,  (1976).  Hyperactive behavior of rats after  lesions of the globus
  pallidus. Brain Res. Bull. 1,193-202.

Norton, S., Mullenix, P.,  and Culver, B. (1976). Comparison of the structure
  of  hyperactive  behavior in  rats  after  brain  damage from  x—irradiation,
  carbon monoxide and pallidal lesions. Brain Res.  116,  49-67.

Sauerhoff, M.  W. and Michaelson,  I.  A. (1973). Hyperactivity and brain cate-
  cholamines  in  lead-exposed  developing rats.  Science  182,  1022-1024.

Silbergeld, E.  K. and Goldberg,  A. M. (1973). A lead-induced behavioral dis-
  order. Life Sci. 13, 1275-1283.

Silbergeld, E.  K. and Goldberg,  A. M. (1974). Lead-induced  behavioral  dys-
  function: An animal  model of hyperactivity. Exp.  Neurol. 42, 146-157.

Silbergeld, E.  K. and  Goldberg,  A.  M.  (1975). Pharmacological and neuro-
  chemical investigations of lead-induced  hyperactivity. Neuropharmacology
   14,431-444.

Sobotka, T. J. and Cook. M. P. (1974). Postnatal lead acetate exposure in rats:
   Possible relationship to minimal brain dysfunction. Amer J. Ment. Def. 79,
   5-9.

Weiss, G., Minde, K., Werry, J. S., Douglas,  V., and  Nemeth, E. (1971). Studies
   on the hyperactive child. VIII.  Five-year follow-up. Arch. Gen. Psychiatry
   24,409-419.
                                   7-13

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              8. BEHAVIORAL ASSESSMENT
                    IN  SENSORY TOXICOLOGY
                         HUGH L EVANS**

                Environmental Health Sciences Center and
             Department of Radiation Biology and Biophysics
                    School of Medicine and Dentistry
                         University of Rochester
Sensory impairment,  such as numbness or blurred vision, is a consequence of
exposure to any of a large variety of substances (see Grant,  1974, or Foulds,
1974). In the toxicology of sensory impairment, the behavioral  scientist may
be able to offer more  precise  definition of impairment, including improved
sensitivity and reliability of tests, with the ultimate hope of providing better
differential diagnosis, early detection of intoxication,  and  more intelligent
environmental  health standards. This chapter reviews early indications of this
potential and examines behavioral principles likely  to aid the  precise defini-
tion of sensory impairment caused by toxins.

Sensory function is a  particularly apt behavioral process for toxicology because
of well developed psychometric procedures relating the behavioral response to
physical qualities of the stimulus, while segregating nonsensory variables.  Some
of the earliest yet most  complete  behavioral studies involved  auditory and
visual impairment (see reviews by Stebbins and Coombs, 1975; and by Hanson,
1975). Orderly  psychometric curves demonstrated a selective sensory impair-
ment  related to a lesion caused by the drugs; they illustrate the utility of
  Supported in part by grants ES-01247 and ES-01248 from the National Institute of
  Environmental  Health  Sciences, MH-11752 from the National  Institute of Mental
  Health, and by a contract with the U S. Energy Research and Development Adminis-
  tration at the University of Rochester Biomedical and Environmental Research Pro-
  ject (Report No. UR-3490-991).

* *Present address: Institute of Environmental Medicine, New York University  Medical
  Center, 550 First Ave., New York, N.Y. 10016.
                                8-1

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probing the controlling parameters and the use of psychophysics to specify
sensory impairment after initial stages of drug screening.  It is not necessary to
review this body of work again here, but a reading of these studies and of the
book Animal Psychophysics  (Stebbins,  1970), should  precede  behavioral
studies  involving sensory toxicology.

Reviewing behavioral studies of sensory impairment reveals some principles of
general  utility in the diverse endeavors known as Behavioral  Toxicology. The
paramount principle is the importance of determining specific mechanisms of
action,  both at the behavioral  and biological  levels of analysis. Unfortunately,
too many studies in behavioral toxicology are purely  descriptive, with neither
an attack on underlying mechanisms nor a clear extrapolation to human health
questions. Our sibling  discipline of sensory  psychopharmacology evokes criti-
cism  on similar grounds (Robinson and Sabat, 1975).  Some behavioral toxi-
cologists appear to be  neglecting mechanisms while seeking a  threshold dose in
hope of observing an effect at a dose lower than previously reported. The study
of basic mechanisms  is not incompatible with the search for threshold  doses.
The pursuit of the mechanisms (i.e., the controlling variables)  will  ultimately
improve a behavioral test's sensitivity to low doses. This is my  message.

Why examine specific  behavioral mechanisms of action? One reason is to im-
prove the basis for pursuing underlying neural mechanisms  and for extrapo-
lating to humans. Since humans cannot be subjects for toxicity experiments,
the  applicability  of animal  data to humans must be assessed  upon some basis
other than direct  species  comparison. A similar limitation has  not prevented
great progress in the neurophysiology  of vision, particularly since the pioneer-
ing  work of Hubel and Wiesel (1962). Behavioral tests  of  sensory function
identified behavioral mechanisms common to humans and laboratory animals.
Then brain recordings and manipulations, with experimental animals, suggested
human neural mechanisms as well  as new paths of human behavioral research.
Behavioral toxicology should provide a similar liaison between basic  laboratory
experiments  and clinical  studies with humans, with  cross-reference  between
behavioral and biological analyses.

Using this approach in our studies of methylmercury,  we  identified similar
visual functions in humans and normal monkeys, then determined the specific
visual impairment in monkeys that suggest early warning signs of intoxication
in humans (Evans, 1975b). The pattern of mercury  distribution in the brain
and  the rate of elimination also are being explored in search of biologic mecha-
nisms that would  account for the primate's greater sensitivity  to methylmer-
cury as well  as its greater susceptibility to sensory impairment compared to
subprimate  species (Evans  et a/.,  1977; Evans and  Laties,  in preparation).

Knowledge of basic behavioral mechanisms also is useful in  dealing with special
kinds of problems  encountered in assessing toxins, problems seldom encoun-
tered in assessing  psychopharmacologic agents. A  problem in examining both
biological and behavioral measures is to define a "toxic effect," i.e., to discrim-
inate a true impairment from  a "change." Several  recent papers, that I  found
to be interesting and better than average in other respects, illustrate  this  point
                                  8-2

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The  Iowa group used a variation  of  Stebbins' auditory procedure and found
that the pesticide, parathion, increased the variability of the monkey's auditory
threshold (Reischl et a/., 1975). Should this be considered a toxic effect in the
sense of greatest concern in making  health decisions?  A finding  of this sort
should be examined with  one of the procedures discussed below that can help
separate specific sensory  effects from  nonsensory effects.  Reischl's monkey
was to press a lever when he heard a  tone and to do nothing in the absence of
a tone. There is a hazard associated with using two markedly different kinds
of response to indicate the two choices in a discrimination. Behavioral pharma-
cologists have found that many drugs  can  change the rate  of  probability of
some behaviors' occurrence, depending  upon the details of the test situation
(see reviews by  Sanger and Blackman, 1976; Kelleher  and  Morse, 1968). Re-
sponse-rate changes induced by toxins need not be related  to sensory impair-
ment. Suppose the toxin changed the probability of occurrence of all behav-
iors.  This would change the proportion of trials  in which the  monkey  does
nothing, i.e., indicates "I don't hear anything/' without necessarily changing
auditory sensitivity. Forcing the monkey  actively to select  one of two levers
to indicate the presence or  absence of the stimulus would have  permitted the
calculation  of  the percentage  of correct  discriminations  independently of
changes in response probability. Then, no default choice need be inferred from
a withheld response.  This approach has been  illustrated with anticholinergic
drugs (Evans, 1975a).

The findings of Reischl et  al.  (1975) suggest  a characteristic of threshold or
near-threshold doses:  the  problem of weak  and variable results. An apparently
toxic effect  may  wax  and wane before  becoming clear (e.g.,  Berlin et al.,
1975).  If the basic mechanism of action were pursued first, even  if  higher doses
were required to do so, we would have a basis for deciding whether the weak
effect,  seen after the administration  of  a low dose,  represents a logical extra-
polation of the clear effects determined previously.

As  the  discussion above suggests, attempts to determine whether an effect is a
true  "toxic" effect lead to a related problem: determining specificity of the
result. Behavioral measures such as "spontaneous" locomotor activity or multi-
ple (FI/FR) response rates make excellent screening devices because they may
be influenced by any toxin that produces "sickness." Used in this way,  changes
in response rates  reveal  little about controlling  mechanisms. The skills and
interests of the  behavioral scientist are more  fully engaged by questions such
as "Can a toxin's effect be  said to involve sensory, motor, or some intellectual
mechanism?"

Categories  of   behavioral  disruption   (e.g.,   impairment  of  discriminative
learning), like disease symptoms, are  not specific to a single causal factor but
may  occur as the result of a variety of causes. Young rats treated with lead
showed an intriguing  impairment in the learning of a brightness discrimination
although  they  ultimately  performed at  a  level characteristic of the  control
animals  (Brown, 1975).  As with earlier studies  in this area (Carson et al.,
1974),  perhaps  the next  question should  be  "Could this represent a  sensory
deficit, with the  brightness discrimination learned  more slowly  because the
animals didn't see very well?" There seems to be some evidence that lead  may,
                                   8-3

-------
some  visual functions (Bushnell et al.,  1977),  as does  another heavy metal,
methylmercury (Evans et al., 1975). Since Brown's rats were required to run
through a T-maze, the learning impairment may also reflect changes in moti-
vation or motor coordination. In a similar experimental situation, impaired
learning of a brightness discrimination by rats exposed to tellurium  was attri-
buted to motivational rather than sensory impairment, since impairment was
also present  in  a one-way  shock avoidance that involved no discriminative
stimuli (Drueta/., 1972).

Acquisition of maze-running is influenced by many variables, such as baseline
level  of motor activity,  which may be changed by  lead exposure  (Silbergeld
and Goldberg, 1974) without reflecting either learning or sensory capabilities.
The influence of activity level upon the speed of rats' maze-learning has been
more fully examined in the area of genetic differences (Ray and Barrett, 1975).
Thus, Brown's report (1975) leaves us  far from a conclusion that early expo-
sure  to lead  retards discriminative ability, although many people would agree
that  whatever the ultimate nature  of the effect,  it is likely to  be classified as
toxic.

We must pursue  these basic mechanisms to insure the greatest  success beyond
the initial  screening stage. Psychologists long have been struggling with ques-
tions such as learning versus  memory  versus performance. Behavioral  toxi-
cology needs input from those who are  conversant with this literature, Several
contributors to  this volume have indicated the wisdom of pausing to check
the literature instead  of "reinventing the wheel." The following pages review
some principles of behavior that can improve our behavioral assay by increasing
sensitivity  to low  doses and by permitting greater specification of response
classes.  Only  then can we say with confidence exactly what aspect of behavior
is changing and whether the change is good, bad, or indifferent.

The  Signal  Detection Approach

Signal detection  theory  arose from engineering and  illustrates many ways in
which we can be confused when estimating a change in sensory capability (e.g.,
Green and Swets, 1966; Swets, 1973; Wright and Nevin, 1974). Possible sen-
sory  changes can be confounded with  changes in nonsensory factors, such as
response position bias, motivation,  guessing, or in the  motor coordination in
the execution of the required response. These changes can alter  the reporting
of a sensory stimulus and thus can be confounded with the true sensory impair-
ment.

One of  the main advances of the signal detection approach was to yield a  pure
measure of sensory capability (d'), with the nonsensory  factors lumped to-
gether in a second measure, termed "bias." However, even when the stimulus
is held  constant, this supposedly pure, quantal measure of sensitivity varies
with  variations in the reinforcement contingencies employed in the test (Nevin,
1975), as does practically every  other  behavioral measure. Even if the signal
detection paradigm is not perfect, its emphasis upon segregating the influence
of bias provides a basis for improving some of the previous approaches to sen-
sory toxicology.
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The only application  of signal detection methods thus far in behavioral toxi-
cology is the suggested use of olfactory detection to improve the monitoring
of air pollution (Berglund and Berglund, 1974). More experiments employing
traditional signal detection are found in pharmacology. In the most thorough
animal experiment  to date,  LSD  was found  to  alter response bias  of rats
without changing the auditory  sensitivity (Dykstra  and Appel, 1974). These
drug-induced changes resembled  those  produced by manipulations of rein-
forcement probabilities. This  study illustrates the need for caution in applying
signal detection procedures, developed by using trained  human observers, to
studies with animals exposed to drugs and toxins. The common tendency of
animals to withhold responding on a proportion of the trials and for drugs and
toxins further to reduce the response probability can result in a paucity of data
with which the originators of human signal detection methods were not forced
to contend.

Signal detection methods may help to separate changes in  cutaneous sensitivity
from  changes in verbal reporting following  analgesia  (Chapman et a/., 1973;
Clark and Yang, 1974). However, the  meaning and validity of these examples
have  been questioned in  letters from numerous authors (see Science 189, 65-
68, 1975).  Pastore and  Scheirer (1974) have reviewed  other  limitations in
signal detection application.

The signal  detection  analysis,  as most commonly  employed,  has additional
limitations. Although  the paradigm yields quantal results, one must be cautious
not to violate the assumptions on which the statistical calculations are based.
One hopes that the opportunity  to obtain  a  quantal index of  sensitivity, by
plugging  numbers  into one of the formulae  available, doesn't promote un-
warranted complacency.

The signal detection approach  most commonly employs  an  extremely simple
behavioral task, with a stimulus either "on" or "off," and two responses equiv-
alent  to "yes I see it," "no I  don't see it." Many questions in behavioral toxi-
cology require manipulation of other stimulus parameters and of  reinforcement
contingencies in order to probe fully the variables  of interest.  The following
sections describe  these  alternatives. In summary,  signal detection theory is
stimulating a helpful reappraisal of experimental design. The classic procedure
offers an alternative approach  in assessing sensory  impairment; its utility in
behavioral toxicology  is still uncertain.

Complex Discriminative Behavior

A discriminative technique of long standing in primate  research, the WGTA
(Wisconsin  General  Test  Apparatus) was employed  in assessing  chronic expo-
sure of squirrel monkeys  to  methymercury (Berlin et a/.,  1973;  1975). The
monkey was required to  discriminate between two stimuli, which were three-
dimensional  objects, by pulling a chain attached to the stimulus. This proce-
dure,  like the maze discussed above, may reflect changes in both sensory and
motor systems, requiring an  astute  experimenter to  distinguish between
changes in  response speed,  visual-motor coordination, accuracy  of discrimi-
nation, etc.
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It will  be useful in further discussions to consider the WGTA task in two com-
ponents: (1) the visual stimuli and (2) the required response. Berlin's discrimi-
nation could be considered relatively easy, since the  two stimuli  differed in
each of three visual dimensions: color,  form,  and size. The  choice response
could  be considered relatively  complex  and difficult, since  the monkey first
had to select the end of one of two chains attached to the stimuli, then use the
chain to pull the stimulus object toward him and thus retrieve a piece of food.
The  point  I wish to make here is that the accuracy  of the visual  discrimination
was  no more  revealing of the  early effects of methylmercury  than were the
performance measures  embodied in the chain-pulling sequence.

More subtle types of visual impairment were identified by subsequent experi-
ments as the  earliest  signs of methylmercury intoxication in primates  (Evans
et al. 1975; Berlin et a/.,  1975). The critical results were obtained by manipu-
lating  the strength  of  the discriminative  stimuli.  Since motor coordination had
been shown  not to be among the early toxic signs in primates (Evans ef al.,
1975), a simple operant  response (button-pressing) was employed  in order to
minimize the motor complications  in evaluating visual impairment. Exposure
to methylmercury,  in doses  much  like  those used previously,  increased the
critical fusion  intensity;  i.e., the  luminance required  for a flickering light to
be discriminated from a  steady light increased as exposure progressed (Berlin
ef al., 1975).  The frequency of flicker was held  constant while  luminance was
varied. This reaction was interpreted as  a loss of scotopic (night vision) sensi-
tivity to light.

The  critical  flicker frequency  test (CFF) is  complementary to the critical
fusion intensity test described above. In  determining the CFF, luminance is
held  constant while  frequency  is  manipulated  until  the flicker  disappears.
Although  toxins have not been  widely studied with CFF, the majority of
psychoactive drugs tested in humans cause a decrease in the critical frequency
(Smith and Misiak, 1976).

Another aspect  of visual  impairment  occurring  during  the early phase of
methylmercury intoxication was assessed with a visual discrimination test de-
vised  in our Rochester laboratories. The  procedure was planned to facilitate
the  distinction between   sensory and  nonsensory effects illustrated  in dis-
cussing the signal  detection approach.  We tried to make the  discrimination
procedure  more informative  than  the  "yes-no"  detection  paradigm  by re-
quiring the animals to choose from  among three  discriminative stimuli, instead
of between the customary two choices. This  change expanded the range of
scores between perfect  (100  percent) and chance (33 percent correct with
three choices but 50  percent correct with two  choices).  Similarly, the three
response choices  provide an  expanded  baseline for identifying  nonsensory
factors such  as response  position bias (Evans, 1975a). We achieved a quanta!
index  of strength  of the  controlling stimuli by  varying the luminance of the
stimuli in steps instead of in an all or none fashion, as was customary  in pre-
vious drug studies. The resultant  psychometric functions can be used to esti-
mate the strength of  the stimulus control of behavior and to relate this to  a
quantal property of the stimulus, (Evans, 1975a,b).
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Strength of Stimulus Control as a Predisposing Factor

Experiments with operant behavior have contributed a substantial understand-
ing of how environmental stimuli can influence (i.e., "control") behavior. Ex-
periments in this tradition have indicated that effects of drugs and toxins vary
with the extent to which behavior is controlled by stimuli and reinforcing con-
tingencies  (Laties,  1975; Evans  and Weiss,  1978). The following examples
illustrate how strength of control by visual stimuli can be a predisposing factor
in behavioral toxicology. I believe the principle applies to other sensory modali-
ties, but more evidence is required.

Visual  discrimination under the control  of weak  stimuli (low  luminance)  was
more  vulnerable to disruption by drugs and toxins than was similar discrimi-
native  behavior  controlled by  strong stimuli.  Impairment  of discrimination
with weak stimuli  (low luminance) was the first sign to emerge during chronic
methylmercury exposure (Evans et at., 1975; Evans,  1975b), which  was in
agreement with findings reported  at the same time by Berlin et al. (1975). Gen-
erality for the conclusion was obtained in  acute  studies with anticholinergic
drugs as reference  componds (Evans, 1975a). Discriminative  accuracy with
weak  controlling  stimuli was impaired  by  a dose of scopolamine one-fourth
that required to impair accuracy  slightly with a strong stimuli.  These findings
may be related to  the fact that  visual  deficits caused  by  brain lesions vary,
depending upon the eye's adaptation to ambient illumination (Glickstein et
al., 1970; Weiskrantz and Cowey,  1967).

Another type of two-choice visual discrimination procedure was used to assess
the effects of parathion  (Reiter et al., 1975). All  effective doses abolished
responding and markedly reduced blood cholinesterases within 5 hours; com-
plete  recovery usually  occurred  within  several days. Several factors  suggest
that visual processes probably were not involved in these results. First, para-
thion reduced response  probability without markedly changing accuracy of
discrimination. Several variants of  the discrimination problem, each with  dif-
ferent  stimulus patterns, revealed  no differential effect relating  to stimulus
complexity or task difficulty. These  predisposing factors  will be discussed
below. Second, the abolition of  responding was accompanied by marked, non-
visual toxic signs. Third, both reference drugs,  scopolamine  and methylscopo-
lamine, produced an  abrupt  cessation of responding similar to the effect of
parathion. Involvement of the eye or the brain would be indicated by a marked
difference in the effectiveness of the two drugs (see Evans, 1975a).

Strengthening the  stimulus control in an operant task with  pigeons could im-
prove the  performance that had been degraded  by methylmercury (Laties,
1975).  Manipulating  stimulus control showed  that  the toxic effect involved
stimulus, rather than motor, mechanisms, since the pigeons' response patterns
returned to baseline following  an increase in the strength of the controlling
stimulus.

The utility of manipulating an aspect of stimulus strength is also illustrated in
a preliminary  report of a selective decrement  of  visual acuity.  Lead-exposed
monkeys, that had  been considered "normal" after showing no deficits under
                                  8-7

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high illumination, showed  a  deficit  when  later tested under low illumination
(Bushnell et a/.,  1977). This effect of lead resembles that reported for methyl-
mercury (Evans et at., 1975; Evans,  1975b), a surprising finding since neither
behavioral  nor  biological mechanisms of inorganic lead intoxication  has been
reported to resemble those of methylmercury.
The above  evidence indicates two benefits  in manipulating strength of stimuli.
First, it increases the sensitivity of the test to low doses and to early, preclini-
cal  effects  in chronic exposure, such  as  those with  methylmercury (Evans,
1975b). Second, manipulations of  stimulus strength facilitate conclusions
about specific sensory mechanisms,  with nonsensory factors considered sepa-
rately. For  example, demonstrating a relationship between a toxic effect and a
specific stimulus parameter,  e.g.,  luminance, argues against  an influence of
memory, motivation, or  motor  coordination, since these factors can  be con-
trolled during manipulation  of the  stimulus parameter  (e.g., Evans, 1975a;
Evans eta/.. 1975).
Behavioral  toxicology in  the Soviet Union  may contain evidence supportive of
the above conclusions. Medved et al. (1964)  review evidence that conditioned
responses elicited by weak stimuli are more easily disrupted by a pesticide than
are responses to stronger  stimuli.  Trakhtenberg  (1974) summarizes studies
characterizing early effects of mercury vapor, including a greater increase in
response time to "a weak stimulus"  (a white light) than to a "strong stimulus''
(buzzer). Later stages of intoxication  were characterized by a "release of differ-
entiation"  (differential responses were  no  longer  controlled by the  discrimi-
native stimuli), followed  by anorexia, lethargy, etc. Soviet scientists also have
employed olfactory and visual sensitivity in assessing sulfur dioxide and related
gases  (see Xintaras and Johnson, 1976, for a summary). Appraisal of the Soviet
literature is difficult for the average Western scientist because of the unfamiliar
vocubulary, which represents an insurmountable barrier if sufficient details of
methods and results are  not provided. One is uncertain as to whether "weak-
ening of internal active  inhibition" or "cortical  inhibition  spreading to the
sub-cortical region" (Trakhtenberg,  1974)  refers  to any of the mechanisms
discussed here. Trakhtenberg cites some startling  positive behavioral findings
with extremely low concentrations of mercury vapor,  but these reports appar-
ently are not published in the archival scientific literature.

The Complexity of the Stimuli
Thus  far we  have focused on the strength or intensity of stimuli as a predis-
posing factor in determining sensitivity  to  toxins.  It may be profitable to con-
sider complexity of the stimuli as  an additional predisposing factor. Together,
strength and complexity of the stimuli  seems to account for much  of what
might be referred to as  the "difficulty" of sensory  tasks. Difficulty  could be
related to the rate of reinforcement  under control conditions,  i.e., the percent
of correct choices. Our work with methylmercury and visual discrimination  is
accumulating evidence of this relationship. When stimulus strength (luminance)
is  held  constant, discrimination of  relatively  complex  stimuli  (3 stimuli  of
equal area  but different shape) seems more vulnerable to .disruption than is the
discrimination of less complex stimuli (selection of the  brightest of 3 stimuli
without regard to form). Our  monkeys are  tested equally often on both dis-
crimination tasks. Psychophysical data from normal monkeys and humans, as
                                  8-8

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well as from monkeys exposed to methylmercury, suggest an interesting inter-
action between strength and complexity of the stimuli.

Rats showed impaired visual pattern discrimination after exposure to tellurium,
although a  simple  brightness  discrimination  was not  impaired (Dru et a/.,
1972). As before, more evidence exists in drug studies of sensory impairment
reviewed by Laties  (1975). Additional studies have shown that alcohol selec-
tively impaired detection of both auditory (Moskowitz  and  DePry,  1968) and
visual (Moskowitz and Sharma, 1973) stimuli only when the task complexity
was increased. Replication  of this work is described by Xintaras and Johnson
(1976). Additional  manipulations of task difficulty in  discrimination  research
have been described by Ettlinger and Rashbass (1976).

Behavioral  toxicologists should consider these and other variables influencing
task difficulty to be  of basic importance as  well as of practical utility. Task
difficulty may be a determinant of the behavioral effects of toxins as it has
long been recognized as a determinant of impairment following brain lesions:
performance of  a very easy task is refractory to lesions that are sufficient to
eliminate performance of  very difficult tasks (Lashley, 1929;  Chow, 1967).
Most  psychologists  recognize  Lashley's efforts to identify behavioral  impair-
ment associated  with  removal  of large areas of the rat's  brain; he found that as
much as one-half of the  brain could be removed without altering the rat's
ability to solve some  mazes, illustrating that performance decrement is a joint
function of task difficulty and the amount of brain damage (Lashley, 1929),
a 50-year-old fundamental principle that should be of utility to the fledging
discipline of Behavioral Toxicology.

Conclusions

Sensory  function has a good  potential for behavioral  studies  in toxicology,
whether the prime  interest is in developing a very sensitive assay or in defining
specific sensory  mechanisms. A review of recent  reports with methylmercury,
lead,  and parathion  reveals that, empirically, sensory function seems to be
sensitive to a wide variety  of toxic agents. Compared with other psychological
phenomena, changes  in sensory performance can be more clearly interpreted
as "toxic"  and  seem  to be relevant to questions of human health and safety.

Manipulation of the behavioral parameters should be considered  of importance
equal  to the manipulation  of the dose parameters. The  parametric curve, such
as the psychophysical function, should  have  a standard place  along with the
dose-effect curve in  behavioral toxicology.

The concept exemplified  by  the signal detection approach  merit  inclusion
in all  assessments of  sensory  function  instead of the classic detection proce-
dure,  even  if  the experiment requires one  of the  discriminative  tasks  des-
cribed herein.  All  of the  procedures employ  a discrete-trial, rather than free-
operant schedule, to obviate the need to infer sensory function from changes
in response rates.
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Our legacies  in neuropsychology and in behavioral pharmacology offer useful
discriminative procedures and suggest that the task difficulty, resulting from
strength and  complexity of the stimuli, will be an important factor in assessing
sensory impairment.

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Berlin, M., Nordberg, G., and Hellberg, J. (1973). The uptake and distribution
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Berlin, M.,  Grant,  C. A.,  Hellberg, J., Hellstrom, J., and Schutz,  A.  (1975).
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Brown, D. R. (1975).  Neonatal lead  exposure in the rat: Decreased learning as
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Bushnell, P. J.,  Bowman, R. E., Allen, J.  R., and Mariar, R. J. (1977). Scotopic
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Evans,  H.  L. (1975a). Scopolamine effects on visual discrimination: Modifica-
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Evans,  H.  L. (1975b). Early methylmercury signs revealed in invisual tests. In
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Evans,  H.  L. and  Laties, V. G, (in preparation). Neurotoxicity of methylmer-
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Evans,  H.  L.,  Laties, V. G., and Weiss, B. (1975). Behavioral effects of mercury
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Evans,  H.  L.,  Garman, R. H.,  and Weiss, B. (1977). Methylmercury: Exposure
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                  9.  ELECTROPHYSIOLOGICAL
               TECHNIQUES IN TOXICOLOGY
                     DOROTHY E. WOOLLEY

     Departments of Animal Physiology and Environmental Toxicology
                     University of California, Davis
An Overview of "Electrotoxicology"

Most poisons are neuropoisons. Poisons which act upon the nervous system are
particularly effective in producing toxicity because the nervous system is more
sensitive to disruption of function than are other physiological systems. At the
same time, the organism is dependent for survival on an intact and functioning
nervous system,^Thus, hypoxia will result in death of neurons before death of
other  cells in  the body, which, in turn, may  lead  to death  of the organism if
the destroyed neurons normally regulate vital functions, such as respiration.
This combined sensitivity and vital importance of the nervous system has been
known for a long time. It has become evident, particularly  in the last decade,
that low-level  exposure to a toxicant may produce deleterious neural effects
which  are discovered  only  upon  the  utilization  of  sensitive,  sophisticated
testing techniques.  The concern today is not so much with neurotoxicants
which produce death immediately, but with the fear that environmental toxi-
cants may reduce functioning of the nervous system in a less obvious, but still
important, way, so that intelligence, memory, or other higher central neural
functions are  affected. With this realization has come the birth of behavioral
toxicology.

Behavioral toxicologists are  frequencly under pressure from other  toxicolo-
gists, who often either  don't  understand or don't trust behavioral tests, to
relate  changes in behavior to changes in other physiological or biochemical
endpoints. Therefore, it is to the advantage of the behavioral toxicologist to
measure as many parameters of nervous system activity as is feasible and to
relate  these to changes in  other  physiological systems.  Among these other
*0riginal research described in this report was supported by NIH grant ES-00163.
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parameters of nervous  system functioning which  may  be utilized to detect
and  understand  neurotoxic effects  are  electrophysiological  measurements.
This chapter  is a brief attempt to point out some of the advantages and limi-
tations of electrophysiological recording techniques.
Electrophysiological techniques  may  be  relatively  more  sensitive  indicators
of toxic action  than  are other parameters. Of course, to be sure that this is
true, other parameters  must be measured along with the electrophysiological
recordings. Electrophysiology may be a useful tool to  determine some aspects
of the  mechanisms of action of toxicants.  It is possible  to implant electrodes in
various cortical  and  subcortical  brain structures and then to utilize evoked
potential techniques to  test the integrity  of specific brain  systems or parts of
brain systems. The use  of microelectrode techniques to  determine the effects
of toxicants at the cellular level has proven to be an immensely successful pro-
cedure for elucidating specific types of membrane or synaptic effects of toxi-
cants.  For example, research has demonstrated that DDT is an axon labilizer,
i.e., it  prolongs the action potential negative afterpotential or causes repetitive
firing  of  action potentials,  probably by prolonging the increased  sodium
conductance  which accompanies the spike potential and which normally  de-
clines during  the falling phase of the action potential (Narahashi, 1971). Also,
lead ions have been shown to block transmission  in the superior cervical or
other sympathetic ganglion and neuromuscular junction, probably by reducing
release of acetylcholine from  presynaptic terminals (Kostial and Vouk, 1957;
Cooper and Manalis, 1974; Silbergeld eta/., 1974). However, the electrophysio-
logical technique most  useful to a behavioral toxicologist is probably that of
using animals with chronically implanted  brain electrodes,so that the effects
of an  agent on  spontaneous and evoked  brain  electrical activity may be  re-
corded in awake unanesthetized animals, preferably in association with a  be-
havioral task. Recently, event-related  slow potentials  recorded from the cor-
tical surface  with nonpolarizable electrodes have been used to investigate  the
effects of  drugs on  behavior  and electrophysiology  (Pirch  and Osterholm,
1975). These potentials should  prove useful for  the study  of toxic agents.

Because chronically implanted  rats are so  useful for neurotoxicological  studies,
a description of some of the procedures  for implantation of brain electrodes
which  have been developed in the author's laboratory is presented below.
Descriptions  of  additional procedures  for electrophysiological  studies  are
also available, e.g., Skinner, 1971.

Preparation of Rats with Chronically Implanted Brain Electrodes for
Studies in Toxicology

The use of animals with chronically implanted  brain electrodes makes  it possi-
ble to study the  effects of an agent in an unanesthetized animal. This technique
has the obvious advantage of eliminating the  complicating  factor of  inter-
action  between toxicant and anesthetic, and  it  permits comparison of changes
in brain electrical activity with changes in spontaneous or  experimentally
modified behavior. Rats are particularly convenient to study because a chron-
ically implanted rat may be "plugged in" for recording  (Figure 9-1) in its home
                                  9-2

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cage and still have the same degree of freedom to move about that it normally
does  (Figure 9-2). In this way the novelty of the recording situation is mini-
mized.
       Figure 9-1.  Rat with chronically implanted brain electrodes plugged in for
       recording. The electrodes in the brain are connected to the terminals of a
       subminiature connector and are held in place by dental acrylic. The record-
       ing cable connects the recording equipment to the brain electrodes via a
       subminiature connector which is the mate to  the one on the rat's head. The
       initial portion of the recording cable is covered with a light weight rubber-
       ized material to give some rigidity to the cable.
                                     9-3

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Figure 9-2.  Tall cages are used as home cages so that implanted rats cannot bump their con-
nectors against the top of the cage.  Rats may be plugged in and  recorded in these cages to
minimize the novelty of the recording situation.

-------
For  chronic implantation, side-by-side electrodes with 0.5-1.5 mm tip sepa-
ration (Figure  9-3)  are usually used. Thirty-two  gauge stainless steel  wire
coated with insulating varnish (Diamel) is stretched slightly to straighten it, and
lengths are cut with fingernail clippers, which readily cut wire of this gauge
without  bending the tips. Two wires  are held together with a drop of epoxy
adhesive (fast  curing, 2-part epoxy) so that one of  the tips  is longer than the
other (Figure  9-3).  The wires are dipped in an instantly drying adhesive con-
taining cyanoacrylate (Krazy Glue) to hold the wires below the bead together.
Next, they are dipped in  Epoxylite (No. 6001-M, electrode insulator, Epoxy-
lite Corporation) and baked (3 hours,  150°C). After repeating the dipping and
baking, the long electrode tip is cut off with the clippers to give the desired tip
separation, usually  1.0  mm, and the tips of  the electrodes  are bared  with a
grinding wheel, using a hand-held hobby drill. The other ends of the electrodes
are scraped clean,  and each is inserted into a steel  tube  epoxyed onto a thin
piece of bakelite (or other plastic) held by epoxy to a steel  bar  (Figure  9-3),
which fits into the standard electrode carriers associated with any stereotaxic
apparatus. Wires from the steel tubing connect to stimulating and recording
equipment so  that any  bipolar electrode  may be used  for either electrical
stimulation or recording during positioning of the electrodes. Electrodes are
positioned in various brain  structures with the aid of stereotaxic equipment.
                                  STEEL ROD TO
                                       FIT INTO.
                           ELECTRODE CARRIER
               30 GAUGE
               STAINLESS
               STEEL WIRE
               EPOXY BEAD
INSULATED WIRES
                                  STEEL TUBING.
              . 0.5-1.5 mm
               TIP SEPARATION
          SIDE-BY-SIDE
      BIPOLAR ELECTRODE
        BAKELITE-
                                                   ELECTRODE HOLDER
Figure  9-3. A bipolar, side-by-side electrode and electrode holder constructed as de-
scribed  in the text. The upper portion of each of the two wires which from the electrode
is scraped  clean and inserted into the tubing on the bakelite section  of the electrode
holder.   The tubing is  connected via insulated  wires to the stimulating  and recording
equipment. The section of bakelite is narrow so that two or more electrodes may be
positioned simultaneously over the rat's head.
                                    9-5

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Evoked potential techniques are utilized to assist in accurate placement of both
stimulating and recording electrodes. First, the stimulating electrode is posi-
tioned approximately using  stereotaxic coordinates, and the bipolar recording
electrode  is lowered until the evoked potential  recorded from each of the re-
cording tips is nearly optimal. Then,  the stimulating  electrode  is adjusted
slightly to improve further  the  elicited  response. In  other words, the stimu-
lating and recording electrodes are first positioned approximately with stereo-
taxic coordinates,  and the positions  of each are refined using evoked potential
techniques.  By stimulating  the  olfactory bulb or lateral olfactory  tract, it is
possible  to  place  bipolar recording electrodes so that the tips  straddle  the
prepyriform  pyramidal cell bodies and  the evoked potentials recorded from
the electrode tips  are mirror images  of  each other, i.e., are  180 degrees out of
phase  (Woolley and Timiras,  1965). This  requires placing the long electrode
tip in the prepyriform superficial dendritic  layer with  an accuracy of a few
tenths of a  millimeter,  a feat  which would be impossible using stereotaxic
coordinates only.  Similarly, accurate placement in the hippocampus may be
achieved by stimulating the prepyriform cortex and lowering a bipolar record-
ing electrode into the hippocampus  until a phase reversal of the evoked poten-
tial  between the  two recording tips is observed (Woolley and Barren, 1967).
For positioning electrodes in the superior colliculus, light flashes  may be used
to elicit visual evoked potentials during implantation.  An electrode is lowered
into the superior colliculus  until a phase reversal of the elicited potential indi-
cates  that  the  long electrode  has penetrated the stratum  opticum of  the
superior colliculus.  The reference  electrode  used for comparing monopolar
recordings from each tip of a bipolar  electrode is usually formed by a wire
wrapped around each of 4  screws positioned  at the outer edges of the top of
the skull.

After the electrodes are positioned, small screws are threaded into holes drilled
into the skull. The electrodes are held in place by flowing dental acrylic around
the  electrodes and screws.  Ends of the electrodes are connected to the pins
of a subminiature socket or plug connector  (for example, ITT Cannon  sub-
miniature connectors MD1-9SL1  or MD1-9PL1),  either by  soldering or by
tightly wrapping the  electrodes  around the connector  pins. During recordings,
after recovery from  the implantation procedure, another subminiature connec-
tor, which is the  mate to the connector on the rat's head, is used to plug in the
rat and connect the  implanted  electrodes to amplifying, stimulating, and re-
cording  equipment  via  a  recording cable (Figure 9-1).  Implanted rats  are
housed individually  in specially tall plastic cages (14"  high x 12" x 12") so
that the  rat does not bump the connector on top if its head against the top of
the  cage.  Side panels of the cages are painted black so that the animals are not
distracted by seeing rats in  adjacent cages. The front panel  is clear so that the
experimenter may view the animal  from the front as well  as  the top (Figure
9-2).

In examining the  effects  of toxicants on  brain electrical activity, both spon-
taneous electrical activity (SEA), i.e., EEC type of activity, and evoked poten-
tials are recorded. For both,  recordings are usually  bipolar. Monopolar re-
cordings are sometimes carried out in addition to determine if recordings from
one  of the bipolar electrode tips is altered more than the other. For monopolar
                                  9-6

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recordings, the reference electrode is formed by a wire wrapped around several
screws in the skull, as described above. For the findings described below, most
recordings were bipolar.

It is well known that changes in behavioral  state are correlated with changes
in spontaneous and evoked brain electrical activity.  Therefore, in evaluating
the  effects of an agent on  brain electrical activity, the behavioral state during
the  recordings  must be noted. It is not unusual for a toxicant to alter the level
of arousal. In order to be able to evaluate whether or not the changes in brain
electrical activity produced by an agent are related to changes in arousal,  it is
necessary to carry out control  recordings during inattentiveness and  arousal
so that  the patterns characteristic of these states can be recognized  and com-
pared with the patterns produced by the toxicant.

Examples of Electrophysiological Studies in Toxicology

Effects of DDT  on  Brain  Spontaneous Electrical  Activity  (SEA)

The effects of a single dose of DDT, dissolved in corn oil administered per os
by  intubation, on brain SEA and on spontaneous behavior were studied in rats
with chronically  implanted  brain  electrodes (Woolley  and  Barren, 1968;
Woolley, 1970). The single dose LD$Q for DDT was 250 mg/kg, and a dose of
50  mg/kg was  the threshold dose for producing grossly observable symptoms.
Hyperexcitability, as evidenced  by a startle response  to sudden sound, such as
a hand clap, was usually present at the time of maximal effect of DDT, which
was about 8 to 12 hours after administration of 50 mg/kg. In about half of the
animals, mild, whole-body  tremors were also evident at this dose.

When 50 mg/kg DDT were administered, the frequency of the  slow waves in
the  SEA of the olfactory bulb increased steadily from 4  through 12 hours
(Figure  9-4) and then decreased again to reach control  levels at 24 hours.
These slow waves track respiration  (Woolley and Timiras,  1965,), and an in-
crease in respiration is a sensitive early effect of low doses of DDT in the adult
rat  (Henderson and Woolley, 1969).  Frequency  of the respiratory waves was
330/min 8 hours after DDT  in the example shown  in Figure 9-4, compared
with 120/min during the control period.

Another significant and sensitive effect of DDT was an increased occurrence
and amplitude of the high frequency  "arousal"  waves in olfactory electrical
activity, as shown  in  Figure 9-5. These fast  (55 to  75 cycles/sec)  waves are
called arousal  waves because they occur when the animal is excited, decrease
when he is  inattentive, and disappear when he is asleep.  During the stimu-
latory stages  of DDT poisoning, these waves were  consistently present  and
increased dramatically for hours at a time. This was,  in fact, one of the most
unique effects  of DDT. DDT administration  also increased the occurrence and
regularity  of  7/sec  frequency theta waves and increased the amplitude of a
fast frequency of about 40/sec  superimposed over the theta waves in the  hip-
pocampal SEA (Figure 9-4).
                                  9-7

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                         HOURS AFTER DDT, 50 mg/kg


                                                 0 (CONTROLS)                                4

                         BULB0™"™  ^•"^"^VMX^^                     ^^-^^^^/^
                                                                   v   >      i                        I    r     i

                         CORTEX1 F°R^Xfc|Vlt^Y%^^                  |^M^^
tO
00                                 0.2 sec
                         H IPPOCAMPUS v^^^Y\AlA\A^/VYv^^                  '^\^^A^


                          500 ,jV
                                                 8 (TREMORS)                                 12


                                                                                                 ^
                                                                                                    ^
                           Figure 9-4.   Spontaneous electrical  activity recorded from the olfactory bulb, prepyriform
                           cortex, and hippocampus in awake, unrestrained  rats before and 4, 8,  and 12 hours after
                           per os administration by intubation of p,p'-DDT dissolved in corn oil.

-------
       OLFACTORY BULB
                                                           T500 jiV

           CONTROL                                     °-'sec
           6 HOURS AFTER 100 mg/kg ODT
 Figure 9-5. High frequency "arousal" waves recorded in the spontaneous electrical activ-
 ity of the olfactory bulb of the rat before and 6 hours after DDT.
Still other effects of 50  mg/kg DDT on the SEA are shown  in  Figure 9-6.
During  the  control  period, a sudden noise caused  the high amplitude slow
waves  characteristic of an innattentive animal to  change suddenly to low
amplitude, high frequency waves in the SEA of the frontal cortex, occipital
cortex,  reticular formation, and vermis of the cerebellum. These are the typical
arousal  patterns for the SEA of these brain  areas. The effects of the relatively
low dose of DDT were to cause high frequency "arousal" waves to be continu-
ously present, even  in the absence of an arousing  stimulus, but these  waves
had a significantly higher amplitude than in the usual arousal state. In addition,
DDT  also caused the appearance of "spiking" in the SEA of the cerebellum.
High amplitude spikes with about  the  same frequency as that of the whole-
body tremor were pronounced in cerebellar recordings even in the mild tremors
produced  by 50 mg/kg DDT (Figure 9-6), but the spikes were not usually pres-
ent in  recordings from  other brain areas. The changes in cerebellar electrical
activity appeared to support earlier suggestions that the cerebellum is a primary
target for the action of DDT and  that cerebellar dysfunction  is basically  in-
volved in the symptomatology of DDT poisoning (see review by Hayes, 1959).

Comparison of the effects  of a higher dose of DDT (100 mg/kg per os) on the
SEA of the  neocerebellum (ansiform lobule), the  cerebellar vermis  (lobulus
simplex), and the medial and lateral portions of the somesthetic cortex (Figure
9-7), revealed that  amplitude of  the electrical activity of the  neocerebellum
was increased 1 hour after DDT administration, which was before amplitude
of the electrical activity of the vermis was increased and before tremoring was
grossly evident 4-13 hours after DDT. Amplitudes of electrical  activities were
maximal in the vermis and  neocerebellum  at 4 to  7 hours. High  amplitude
spiking  was still evident in the vermis  at 9  and 13 hours, whereas activity in
the neocerebellum at these times was largely restored toward normal. During
the periods of maximal increase  in  electrical activity,  spikes  appeared syn-
chronously in the vermis and neocerebellum.  This study showed that cerebellar
SEA was  increased before gross behavioral  changes,  such as tremoring, were
                                  9-9

-------
evident, so that increased amplitude of cerebellar SEA was another sensitive
index of DDT action.
                                CONTROLS
                                        NOISE
  FRONTAL CORTEX       , |          ,' (   (l
                >^v%VW-Vi^^
  OCCIPITAL CORTEX      ' i              ' 1
                ;*v^
  RETICULAR FORMATION    /             ',';

                V#';V^^
                        •  ' ' '      '  '' '   \'  '
  CEREBELLUM, VERMIS                  ' |
                      8 HOURS AFTER 50 mg/kg DDT. TREMORS
              I  ^W^H^

              I  '^^

              T  ;0^:ft'^

                  ',,'   ,,    i,' 'I''   )/   '    '''.'i'l'    M'
                 i^^^',l::fe!'i'^r^;:^
             2001 /j V

                  1 sec
 Figure 9-6.  The spontaneous electrical activity of 4 brain areas before and 8 hours after
 DDT per os in the rat. A sudden noise during the control recording session changed the
 patterns of the SEA from those typical of inattention to those typical of arousal. After
 DDT  administration arousal patterns prevailed  and  "spiking" occurred in cerebellar
 electrical activity even in the absence of external "arousing" stimuli.
                                   9-10

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        HOURS AFTER DDT, 100 mg/kg per os


                 0 (CONTROLS)      1
    NEOCORTEX,
         MEDIAL
2%
             2 sec
 Figure 9-7. Comparison of the changes in electrical activity of 2 cerebral cortical (somes-
 thetic) areas  and  2 cerebellar areas produced by DDT administration.  Amplitude of
 electrical activity increased in the neocerebellum  sooner than  in the vemnis. Amplitudes
 of both  cerebellar electrical activities increased more than cortical activities at the height
 of the effect of DDT. Spiking continued in the vermis for a longer period of time than in
 the neocerebellum during recovery.
The principal conclusions which may be drawn from studies presented thus far
illustrate  some of the advantages and limitations of electrophysiological studies
in toxicology. The studies demonstrated that after  DDT administration in the
awake, unrestrained animal: (1) changes in spontaneous brain electrical activity
may  be detected  before changes in spontaneous behavior; (2)  the electrical
activity of some brain areas changes before and to a greater extent than that of
other areas;  (3) changes  in the respiratory waves in the electrical activity of the
olfactory system  show that low levels of DDT stimulate respiration and that
this is  a  sensitive, early index of  DDT action; (4) marked increases  in the
arousal waves of  the olfactory system and in the arousal  patterns of  other
brain areas show that low levels of DDT are  strongly excitatory to the CNS,
in agreement with the behavioral hyperexcitability caused by DDT; and (5) the
greatest changes in brain  electrical activity  occur in the cerebellum.
                                    9-11

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Effects of DDT on  Evoked Potentials

The  striking effects of DDT in  increasing  the electrical  activity  of the  cere-
bellum suggest that DDT has a  direct stimulatory  effect on the cerebellum.
Another  possibility is that the increase in cerebellar electrical activity merely
reflects  the greater  proprioceptive  input  to  the  cerebellum because of in-
creased muscle activity during tremors. Therefore,  the effect of DDT on visual
and  auditory potentials in the cerebellum  and other brain areas were investi-
gated. A  greater effect of DDT on potentials evoked by light and sound in the
cerebellum than in other brain areas would be compatible with the hypothesis
that DDT preferentially affects the cerebellum.

Auditory  potentials were evoked by a  1,000 Hz tone of 30 msec duration and
60  db above  threshold as judged by oscilloscope tracings.  Light flashes (10
jizsec duration, maximal intensity, 18 inches above the animals) for visual stimu-
lation were produced with  a  Grass  photostimulator (model  PS-2).  Responses
of various brain areas were  amplified and averaged  with a Northern Scientific
online computer (model No. 544). Stimulation rate was 1/sec and 50 responses
were summed to produce each averaged evoked potential.

Figure 9-8 shows the  typical effects of 100 mg/kg of DDT on auditory evoked
potentials in cerebral cortex,  midbrain  reticular formation, and vermis of the
cerebellum. In frontal and occipital cortex the responses were  depressed at
the height of the effects of DDT which occurred 6 to  12 hours after adminis-
tration. On the other hand, some components of both visual and auditory re-
sponses  in the cerebellum and reticular formation were significantly increased
in amplitude.  Early components of the cerebellar  response, which were often
not  present during the  control  period, appeared after  DDT administration,
increased in amplitude during the maximal effects of DDT, and then disap-
peared again during the recovery  period (Figure 9-8).

The depression by DDT of the evoked responses in the cerebral cortex may be
explained by a "line-busy" effect, i.e., that the increased spontaneous or back-
ground electrical activity caused  by DDT interfered with the neuronal response
to the light or sound stimulus.  On the other hand, the effect of DDT on the
cerebellum was unique because  both spontaneous  and evoked electrical activ-
ities were increased.

The effects of DDT were  compared with those of tremorine, which is also a
tremorigenic agent. Responses evoked by sound recorded at several positions
in the cerebellum before and after administration of tremorine clearly showed
that sound-evoked cerebellar  potentials were completely eliminated by tre-
morine, in marked contrast to the effect of DDT  in increasing amplitudes of
these potentials in the cerebellum.  Behaviorally, tremorine  produced an ab-
sence of  the startle response, the rats appearing to be almost oblivious to visual
and  auditory stimuli, in  marked contrast to the effects of DDT  in increasing
the startle response.

The  relation  between the potentiation  of the startle response and  visual and
auditory  responses in the cerebellum, as produced by DDT, and the elimination
of the startle response and visual and auditory cerebellar responses, as pro-
duced by  tremorine,  may  be more than coincidental. It has been reported that

                                  9-12

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                  SOUND-EVOKED, AVERAGED POTENTIALS
       HOURS AFTER DDT, 100 mg/kg per os
         0
         1
         3

         6

        10


        12

        24


        48
           CEREBELLUM.VERMIS    !~	'  OCCIPITAL CORTEX
                                   20 msec
         0
         1
         3

         6
        10

        12

        24
         48
           RETICULAR
           FORMATION, MIDBRAIN
                                           FRONTAL CORTEX
                                    20 msec
Figure 9-8.  Effects of  a single dose of DDT on averaged auditory evoked potentials re-
corded simultaneously from four different brain areas in the awake, unrestrained rat. Note
the changing scale for  amplitude of cerebellar  evoked potentials. Amplitudes of the re-
sponses recorded from the frontal and occipital  cortex were depressed by DDT, especially
6 hours  post administration,  whereas  some components of the responses evoked in the
cerebellum and reticular formation increased in  amplitude. The major effect of DDT was
to cause the appearance and increase the amplitude of an early component of the response
recorded from  the cerebellum.  This early  response  was first evident 6 hours after DDT,
reached maximal amplitude at  10 hours, and had disappeared  by 48 hours post admini-
stration.
                                    9-13

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lesions in portions of the vermis, which also receive visual and auditory inputs,
result in absence of the startle response (Chambers and Sprague, 1955).
DDT and tremorine  produced similar increases in cerebellar  SEA. These  in-
creases  are  attributed to increased proprioceptive  input  to  the cerebellum
resulting from tremoring and increased muscle activity.
Another  drug which  has been shown to increase visual and auditory responses
in the cerebellum, at least in the cat, is a-chloralose (Fadiga  and Pupilla, 1964).
Amplitudes  of visual responses recorded from  several  electrode positions in
the cerebellum were  clearly  increased by the drug. This  is particularly interest-
ing because  a-chloralose also caused an  exaggerated startle  response to sudden
loud noises.  This lends further support to the  hypothesis that DDT increases
the startle response  by an action on the cerebellum, and that the cerebellum
is basically related to the startle response.
The pathways by which visual and auditory potentials reach the cerebellum are
not  completely  understood. However, there is  evidence that these teleceptive
impulses relay in the  tectum (superior and inferior colliculi) and in the  brain-
stem enroute to the  cerebellum (Fadiga and Pupilla, 1964).  The next study
then undertook to investigate the effect of DDT and a-chloralose on responses
evoked  in the cerebellum by electrical  stimulation  of  the superior colliculus
and  reticular formation (Figure 9-9).  During the control period it was almost
impossible to elicit anything except  a low-amplitude response in the cerebellum
by stimulating  this  way. However, after  administration  of  either  chemical
agent, the  cerebellar  response  was increased  many-fold.  Additional studies
showed that the responses to light and  sound in the superior colliculus and re-
ticular formation were  not themselves potentiated by DDT. Thus, the poten-
tiation by DDT of the cerebellar response to electrical  stimulation of the su-
perior colliculus and reticular formation appears to be due to a direct effect on
the cerebellum or on a brain area relaying the impulses from the lectum to the
cerebellum.
The  studies presented so far represent  an  effort to understand the types of
effects produced on the brain  by acute  exposure to DDT. An  important ques-
tion was whether or  not DDT preferentially affected some brain areas more
than others,  and, if so, whether this could be  related to the symptomatology
of DDT  poisoning. The evoked potential studies  provide  evidence that DDT
in sublethal doses affects the  cerebellum particularly,  that this effect is  one
of increased excitability, and that this effect on  the cerebellum  may be a factor
contributing to the exaggerated  startle response characteristic of DDT poison-
ing.  Comparison of  the effects of  DDT with those of drugs which produce
some of the clinical symptoms also produced by DDT helped delineate some of
the rather unique features of the effects  of DDT on the brain.

Distribution of DDT in Brain and Spinal Cord

Next, the concentrations of  DDT in several  brain areas  and spinal cord of the
rat were  determined  at various times after a single dose of 100  mg/kgperos of
DDT dissolved in oil  (Table  9-1; Woolley and Runnells, 1967). The hope  was
that  a  correlation between  symptomatology and CIMS DDT concentrations
                                  9-14

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              EFFECTS OF a-CHLORALOSE
                    EFFECTS OF DDT
                  20 msec
             PRETREATMENT

             POSTTREATMENT
Figure 9-9. Effects of alpha-chloralose and DDT on responses
evoked in the cerebellar vermis by electrical stimulation of the
superior colliculus (SC) andmidbrain reticular formation (RF).
Both chemical agents potentiated the responses recorded in the
cerebellum.
                         9-15

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could be established.  Because of the well-known lipid solubility  of  DDT,  it
was of interest to determine the pattern of uptake and  release of DDT in a
sample of neocortex, which  is gray matter only, and the pattern in bramstem
(medulla and pons) and spinal cord, which have a high percent of white matter
and thus of lipid.

When DDT concentrations were expressed in terms of wet tissue weight (Table
9-1),  concentrations were 40 percent  higher  in  the  neocortex  than in the
spinal cord at 6 hours. However, at 12 and 24 hours DDT concentrations were
significantly higher in  brainstem and spinal  cord  than in neocortex and cere-
bellum, suggesting that CNS areas with high lipid (i.e.,  high myelin) concen-
trations took  up  DDT more slowly but retained  it longer than did CNS areas
which were primarily gray matter only.  When DDT concentrations were cal-
culated for the whole brain and compared  with spinal cord concentrations,
it was evident that DDT concentrations per  unit fresh weight were about the
same  at 6 and 12 hours but were about twice  as high  in the spinal cord as in
the brain at 24 hours.
 Table 9-1. DDT CONCENTRATIONS IN TISSUES OF THE RAT WITH TIME AFTER
                  A SINGLE DOSE OF DDT (100 mg/kgperos)

Tissue
Neocortex
Cerebellum
Brainstem
Remaining brain
Whole brain
Spinal cord
Liver
Plasma
DDT concentration (l^g/g fresh tissue)
Hours after DDT administration
6
35.2a
±4.0
29.0
±3.1
27.2
±2.2
20.0
±1.9
22.0
±2.4
24.5
±2,0
216
±17
±5.9
±0.9
12
20.2
± 2.5
20.9
±.2.3
34,9
±4.2
23.2
±2.7
22.2
±2.5
27.2
±2.8
165
±9
3.2
±0.3
24
13.1
±1.7
13.6
±1.5
17.5
±1.9
11.2
±0.5
11.8
±0.5
25,1
±3.1
43
±5
3.4
±0.4
% Lipid In
fresh tissue
6.0
±0.5
6.8
±0.5
16.1
±0.7
7.2
±0.4
7.2
±0.3
17.9
±0.6
4.2
±0.6
—
3Mean ±SE for 8 rats per group. From Woolley and Runnells, 1967.
 In these animals, hyperirritability and tremor, the outstanding symptoms pro-
 duced by the dose of DDT used, were generally more intense at 6 than at 12
 hours  and so appeared  to correlate with the peak concentrations  in the neo-
 cortex  and cerebellum.  However, because the  time periods selected were so
                                  9-16

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widely spaced, this correlation cannot  be made with certainty. According to
the literature, reviewed by Hayes (1959) and Shankland  (1964), during DDT
poisoning in  the  intact animal,  a fine tremor  is present  initially and is even-
tually  replaced by a  coarse, low frequency,  tremor.  In spinal animals the
tremor is usually  coarser in the body parts innervated by the spinal cord  caudal
to the lesion  than it is in the intact animal. The fine tremor may occur when
DDT effects  on gray matter  in brain  predominate, whereas the coarse tremor
may be indicative of predominant effects on the spinal cord.

Effects  of Parathion

Parathion is a widely used, highly toxic organophosphate insecticide, which is
oxidatively desulfurated in vivo to its active metabolite, paraoxon. Paraoxon
is a  powerful acetylcholinesterase  (AChE) inhibitor and so is believed to affect
cholinergic synapses or junctions by reducing the rate of breakdown of acetyl-
choline (ACh), which in turn, permits buildup of excess ACh.

The effects of parathion administration (3 mg/kg sc) on brain electrical activity
were determined  in six female Sprague-Dawley rats with chronically implanted
brain electrodes (Woolley, 1976).  Visual and auditory evoked potentials were
recorded in the visual  cortex, superior colliculus, midbrain reticular formation,
and  cerebellum.  Potentials  were elicited and averaged  as  described  above.

The typical effects of parathion on  visual  evoked potentials recorded in the
superior colliculus (Figure 9-10) and the visual  cortex were to increase latency,
i.e.,  the  time from the flash until the  beginning  of the  response,  and to de-
crease amplitude  of the waves of the response. Latency was increased 40 per-
cent or more in  responses recorded from the visual cortex and superior colli-
culus, whereas latency of responses recorded simultaneously in the cerebellum
and  reticular formation were  affected  less. Amplitudes of the main components
of the responses  of the visual cortex and superior colliculus were reduced to
one-third or  less of  control amplitudes.  Amplitudes of the  visual  evoked
responses recorded in the cerebellum and reticular formation also tended to
be reduced,  but  variability was greater for these  responses than for those re-
corded in  the cortex  and colliculus. Effects on amplitude and  latency were
usually marked 2 and 4  hours  after parathion administration, although they
were sometimes  pronounced as early as 45 minutes after  administration. The
responses had returned to pretreatment values by 8 hours after parathion ad-
ministration.

The effects  of parathion administration on  sound-evoked  potentials  in the
reticular formation  (Figure  9-11) were to decrease markedly the amplitude
2 and 4 hours after administration with some  recovery at 8 and 20 hours.  In
contrast to effects on visual  evoked  potentials (Figure 9-10), marked changes
in latency  did not occur in  auditory evoked  potentials. Thus, the effects of
parathion administration  on  auditory evoked potentials were less marked than
on visual evoked potentials.

These observations  permit two conclusions: (1) there must be a cholinergic
link somewhere  in the generation of these visual  and  auditory evoked  poten-
tials, and (2) recovery of visual evoked potentials from the effects of parathion
                                   9-17

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administration is surprisingly fast when one considers that paraoxon is believed
to produce irreversible,  or at least only slowly reversible, inhibition of AChE
activity (O'Brien, 1967).
                                   TIME AFTER PARATHION, 3 mg/kg sc
                                                                      45 min
                                                                      2 his
                                                                      4hrs
                                                                      8hrs
                                                                      20hrs
                             RAT Bl 10/8/68
     Figure 9-10.  Effects of parathion on averaged flash-evoked potentials in  the
     superior colliculus of the adult female rat.  Latency was increased and ampli-
     tude of  the major component was decreased 2 and 4 hours after administra-
     tion of parathion. Recovery was evident at 8 hours.
                                    9-18

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                              TIME AFTER PARATHION, 3 mg/kg sc
                                                                  45 min
                                                                   2hrs
                                                                  4hrs
                                                                   8hrs
                                                                  20hrs
      Bl RFL 10-68
                                        20 msec
    Figure 9-11.  Effects of parathion administration on averaged sound-evoked po-
    tentials in the midbrain reticular formation of the adult female rat. Amplitude
    was  decreased at 2 and 4  hours post parathion but latency was not altered
    markedly.
Regarding the first point,  histological evidence for involvement of cholinergic
synapses in generation of visual evoked potentials has been provided by Shute
and Lewis (1967), who have described AChE-containing fibers rising from the
midbrain and passing  via the dorsal and  ventral tegmental pathways directly
and indirectly to the anterior and posterior colliculi, lateral and medial genic-
ulate bodies,  pretectal  area, and cerebral cortex.

Some controversy exists concerning the rate of recovery of brain AChE activ-
ity after parathion adminstration in the rat. Although an early report described
recovery of brain AChE  activity 4 hours after administration of parathion  in
the rat  (Du  Bois et al., 1949), another stated  that  several  days are  required
(Davison, 1953),  and still  another  that a month  is required for  recovery
                                   9-19

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 (Giachetti et al.,  1966).  Therefore,  we determined the time-course of inhibi-
 tion and  recovery of AChE activity after intraperitoneal (ip) and subcutaneous
 (sc) administration  of  2  mg/kg  parathion  in the adult female rat. The colori-
 metric  method  of Ellman et al.  (1961) was used to measure AChE and ChE
 (pseudocholinesterase)  activities. The results (Figure 9-12)  showed that blood
 AChE and plasma ChE activities recovered  rather  rapidly, i.e., within the 1
 week of  this study.  However, brain and spinal cord  AChE activities reached
   50

   45

   40

I  35
si
1  30
c
£  25
             CAUDATE AChE
                                                CORTEX AChE


                                                               i    i    i
                 234567       01
                                       7.5
             BRAIN STEM AChE
                                                  234567

                                               SPINAL CORD AChE
                                                    234567

                                                PLASMA ChE
          01234567       0123456

             DAYS AFTER PARATHION (2.0 mg/kg) ADMINISTRATION
                                   IP
                                                 SC
Figure 9-12.  Effects of ip and sc administration of parathion in the rat on AChE activities
in brain, spinal cord and  blood and on ChE activity in plasma. Each point represents the
mean, and the vertical bracketed lines represent the standard errors about the mean for
6 animals in this and the following figure.
                                  9-20

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peak  inhibition about 9 hours  after parathion  administration and  showed
essentially no recovery during the study. When the experiment was repeated
and recovery followed  over a  longer time period (Figure 9-13), it was again
observed that blood AChE and plasma ChE activities had recovered by 1 week
after  ip  administration of parathion  (2.25  mg/kg).  AChE activities  did  not
become inhibited as rapidly in brain as in blood and  required a longer time to
recover in brain than in blood. Inhibition of AChE activities in caudate, cere-
bral cortex, and brainstem was greater at 1 week than at 6 hours post para-
thion  administration;  recovery was complete  between  2 and  4 weeks after
administration of parathion.

From these  results  it is evident that the effect of  parathion administration on
visual  evoked potentials disappeared  despite continuing inhibition of AChE
                                                CORTEX AChE
           01      234      01      234

             WEEKS AFTER PARATHION (2.25 mg/kg IP) ADMINISTRATION
Figure 9-13.   Effects of ip administration of parathion on inhibition and recovery of
AChE and ChE activities in various brain areas, blood or plasma of the rat.
                                  9-21

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activity in  the rat. Visual evoked potentials recovered within 8 hours after
parathion administration,  but  blood  AChE activity required about a week to
recover, and  brain AChE  activities required 2-4 weeks for  recovery. Effects
on evoked  potentials  were maximal  when  CNS  AChE activities were falling,
and these effects disappeared after AChE inhibition had reached its maximum
and stabilized.

One  interpretation of  these findings is that development of adaption or toler-
ance to depression of  AChE activity  in the CNS occurred after parathion ad-
ministration in rats and monkeys. The  problem of tolerance  in relation to a
number of anticholinesterase agents has  been  reviewed  recently  (Bignami
et a/., 1975).  Usually, an AChE inhibitor is administered and cholinergic symp-
toms are immediately evident,  but  despite continued AChE inhibition,  the
symptoms soon disappear. The major present hypotheses regarding the mech-
anism of onset of tolerance to AChE inhibition are as follows: (1) ACh levels,
which  become elevated  immediately after AChE  inhibition, become  lower
with time despite  the persisting depression of AChE activity; (2) prolonged
exposure to  elevated  ACh levels brings about a reduction  in receptor sensi-
tivity,  thus counteracting  the effects of  AChE inhibition and allowing a recov-
ery  of  function;  and  (3) the activity  of  other neurophysiological  systems,
either  agonistic or antagonistic, alters  to  counteract  the overstimulation of
cholinergic systems.

Still other interpretations  of the dissociation between the  neurological effects
and  AChE inhibition  after parathion administration  remain to be explored.
AChE and the ACh receptor  must share  some structural  similarities because
both combine with ACh. Paraoxon also  combines with AChE at the active
esteratic site and therefore  probably also has the structural requirements to
react with the ACh receptor. It is possible that paraoxon first reacts with AChE
to inhibit it and thus  to permit a buildup of ACh at cholinergic synapses. After
some delay paraoxon  may next combine with the ACh receptor and in this way
reduce receptor sensitivity to the elevated ACh  levels  and permit a return to
more  normal functioning, even though AChE activity is strongly inhibited.

Still another explanation has been provided recently by  observations that
synaptosomes prepared from rats shortly after injection  of a single dose of
paraoxon showed  significantly increased release and  synthesis of ACh. How-
ever, when a slightly  smaller dose  of paraoxon was injected once daily for  five
days for an even greater total  injection, the rate of synaptosomal synthesis  and
release  of ACh did not differ from controls  even though AChE activity  was
strongly inhibited.
This may mean that paraoxon initially acts on synaptosomes to increase ACh
release and synthesis,  thus causing cholinergic symptoms, but that the synapto-
somes  adapt to this effect of paraoxon, and so  the cholinergic symptoms disap-
pear (Speth eta/., 1975). If  further work substantiates this  new finding, it
would  suggest that the development of "tolerance" to the AChE inhibiting
effects of parathion administration is not  an  actual tolerance but merely re-
flects the fact that the mechanism of action is primarily on neuretransmitter
release  and that AChE inhibition is of lesser importance in  the symptoma-
tology of parathion poisoning, at least at low doses  of parathion.
                                 9-22

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The Value of a Multifaceted Approach in Neurotoxicology

A strong argument for using a multifaceted approach for investigating the ef-
fects of a toxicant is that an investigator may simply be misled regarding the in-
tensity, time,  and  duration of action  of  a toxicant  if he considers only one
endpoint.   Each  of the various methods for assessing  neural function has
its  advantages and  limitations.  Behavioral tests are  usually very sensitive  in
their ability to detect the effects of low levels of toxins. A major reason for
this sensitivity also  accounts for one of the more frustrating aspects of behav-
ioral testing.  In behavioral tests the animal is frequently treated like a "black
box." An input of some sort is applied to this "box," and the output, behavior,
is measured.  Modifications  in behavior may be  produced by toxins or other
agents because of changes in any one or more  of the many links in the neural
chain of events between  input and  output or by changes in non-neural systems
which  secondarily alter the  nervous system. The  result istfhatthe behavioralist
may be left with the satisfying feeling of having recorded a change in behavior
but with the  frustrating feeling of not knowing why  the change has occurred.
To determine "why," it  is usually necessary to perform additional tests. These
other tests may involve electrophysiological techniques or biochemical proce-
dures.

 In  a clinical  setting it is frequently easier to measure some biochemical end-
point, e.g., blood  AChE activity,  than  to conduct extensive  behavioral  or
electrophysiological  testing. Hence, experimental analyses  for relevant bio-
chemical changes or for levels of a toxin or its metabolites  should be carried
out in readily obtainable tissues such as  blood,  urine, or hair,  along with be-
havioral or electrophysiological  testing.  From  the data thus obtained, it may
be possible to predict biochemical measurements which may  be carried out
clinically to provide a warning that nervous sytem functioning may be impaired
at a certain level of change  in tissue components. Naturally, there may be pit-
falls to such  an  approach.  In  the study reported here, the early effects  of
parathion  poisoning on  brain evoked potentials were correlated with falling
levels of blood AChE activity but not with the absolute level  of  AChE activity.

The principal advantage of electrophysiological  testing, using animals with
chronically implanted brain electrodes and  recording while the animals are
awake, unanesthetized, and relatively  unrestrained, is that the  differential ef-
fects of a toxicant on various brain areas or brain systems may be investigated.
This, in turn, should lead to a better understanding of the mechanism of action
of the toxicant. Using these procedures in previous work in this laboratory, it
was possible to demonstrate the selective activation of the cerebellum and ol-
factory brain  areas by DDT (Woolley and Barren, 1968). It was  also demon-
strated that parathion administration had greater effects on visual  evoked than
on auditory evoked potentials in rats with chronically  implanted brain elec-
trodes and that there was a dissociation between the time course of effects of
parathion administration on evoked potentials and  on brain AChE activities.
Electrophysiological techniques may  be more  sensitive than  some other end-
points to the effects of a toxin. Changes  in spontaneous brain electrical activ-
ity after  DDT were evident  before  changes  in spontaneous behavior,  for
                                  9-23

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example. Brain electrical activity may be recorded continuously before, during,
and  after administration of  a toxin, so  that each animal may serve as its own
control.

Finally, however,  an  obvious  limitation of electrophysiological techniques is
that the investigator must have specialized equipment and training to be able
to record and  interpret electrophysiological data. Perhaps, this is the reason
for the relative rarity of "electrotoxicologists."

References

Bignami, G.,  Rosic, N.,  Michalek, H., Milosevic, M., and Gatti, G. L. (1975).
   Behavioral  toxicity  of anticholinesterase agents: Methodological, neuro-
   chemical,  and  neuropsychological aspects.  In  Behavioral Toxicology (B.
   Weiss and V. G. Laties, eds.), pp. 155-215. Plenum Press, New York.

Chambers,  W.  W.  and Sprague, J.  M. (1955).  Functional localization  in the
   cerebellum.  II.  Somatotopic  organization  in cortex  and nuclei.  Arch.
   Neurol. Psychiatry 74, 653-680.

Cooper, G. and Manalis, R.  (1974). Effects of  polyvalent cations  on synaptic
   transmission in  frog neuromuscular junction and frog sympathetic ganglion.
   In Behavioral Toxicology (C.  Xintaras, B.  Johnson, and I. deGroot, eds.),
   pp. 267-276. U.S. DHEW Publication No. (N10SH) 74-126.

Davison, A. N. (1953). Return of cholinesterase activity in the rat after inhi-
   bition by organophosphorus compounds.  1.  Diethyl p-nitrophenyl phos-
   phate (E600, paraoxon). Biochem. J.  54, 583-590.

Dubois, K. P.,  Doull,  J., Salerno, P. R.,  and Coon, J.  M. (1949). Studies on the
   toxicity and mechanism of action of p-nitrophenyl diethyl thionophosphate
   (parathion), J. Pharmacol. Exp.  Therap, 95, 79-91.

Ellman, G.  L., Courtney,  K.   D., Andres,  Jr.,  V.,  and Featherstone,  R.  M.
   (1961). A new  and rapid colorimetric determination of acetylcholinesterase
   activity. Biochem. Pharmacol. 7, 88-95.

Fadiga,  E.  and Pupilla,  G.  C.  (1964).  Teleceptive components of cerebellar
   function. Physiol. Rev. 44, 432-486.

Giachetti, A.,  Ciappi, O., and Baccini, C.  (1966). Persistence of cholinesterase
   inhibition in rat brain after treatment with parathion:  Pesticide residues in
   relation to public health. Ric. Sci. (Italian) 36, 1081-1082.

Hayes, W.  J., Jr.  (1959). Pharmacology and toxicology of DDT. In  DDT.
   The  Insecticide  Dichlorodiphenyltrichloroethane   and  Its   Significance
   (P. Muller, ed.), Voll. II. Birkhauser, Basel.

Henderson, G.  L and Woolley,  D.  E. (1969). Mechanisms of neurotoxic action
   of 1,1,1-trichloro-2,2-bis(p-chlorophenyl)ethane (DDT)  in  immature and
   adult rats. J. Pharmacol. Exp. Therap. 175, 60-68.
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Kostial, K. and Vouk, V. (1957).  Lead ions and  synaptic transmission in the
   superior cervical  ganglion  of the cat.  Brit J.  Pharmacol. 12, 219-222.

Narahashi, T. (1971). Effects of insecticides on excitable tissues. Adv. Insect.
   Physiol. 8, 1 -93.

Pirch, J.  H. and Osterholm,  K.  C.  (1975). Drug-induced alterations of slow
   potential responses in the rat. Pharmacologist 17, 189.

O'Brien, R. D. (1967). Insecticides. Action and Metabolism. Academic Press,
   New York.

Shankland, D. L. (1964). Involvement of spinal cord and peripheral nerves in
   DDT-poisoning syndrome. Toxicol. Appl. Pharmacol. 6, 197-213.

Shute,  C.  and Lewis, P.  (1967). The ascending cholinergic  reticular system:
   Neocortical,  olfactory  and  subcortical  projections. Brain  90,  497-520.

Silbergeld,  E., Fales,  J.,  and  Goldberg, A. (1974). The effects of inorganic
   lead on the neuromuscular  junction.  Neuropharmacology 13, 795-801.

Skinner, J. E. (1971). Neuroscience: A Laboratory Manual.  Saunders,
   Philadelphia.

Speth,  R.,  Dettbarn, W., and  Schmidt,  D.  (1975). Cholinesterase (ChE) inhi-
   bition and synaptosomal acetylcholine (ACh) synthesis and release follow-
   ing in vivo paraoxon (Px) adminstration. Pharmacologist 17, 388.

Woolley, D. E. (1970).  Effects of DDT on the nervous system of the rat. In
   The Biological Impact of Pesticides in the Environment (J. W. Gillett, ed.),
   Enviornmental   Sciences  Series  No.  1,  Oregon  State  University  Press,
   Corvallis.

Woolley, D.  E. (1976). Some aspects of the  neurophysiological  basis of in-
   secticide action. Fed. Proc.  35, 2610-2617.

Woolley,  D.  E. and Barren,  B. (1967). Hippocampal  responses evoked  by
   stimulation of the prepyriform  cortex  in the  rat. Electroencephalog. din.
   Neurophysiol. 24, 63-74.

Woolley, D.  E. and Barron,  B. (1968). Effects  of DDT on  brain electrical
   activity  in  awake, unrestrained  rats. Toxicol. Appl. Pharmacol. 12, 440-
   454.

Woolley,  D.  E. and Runnells, A.  (1967). Distribution of DDT in brain and
   spinal cord of the rat. Toxicol. Appl. Pharmacol. 11, 389-395.

Woolley,  D. E. and Timiras,  P.  (1965). Prepyriform electrical  activity in the
   rat during high  altitude exposure. Electroencephalog.  din.  Neurophysiol.
   18, 680-690.
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                         10.  NEUROBEHAVIORAL
            TOXICOLOGY:  PROBLEMS AND
        METHODS  IN  HUMAN RESEARCH
                         DAVID A. OTTO

                 U. S. Environmental Protection Agency
                     University of North Carolina
Other papers in this volume describe methods for studying the effects of toxi-
cants on the behavior of species  ranging from  mice to  monkeys and sheep.
Research on the human species, however, imposes a complex set of contraints,
both ethical and empirical, which  essentially limit the investigator to noninva-
sive procedures. This chapter will review these constraints and describe a useful
method for studying the behavioral and electrophysiological effects of toxicant
exposure in man.

The effect of chemical insult on  central  nervous system (CNS) function has
often  been  inferred  from behavioral  measures  such  as  visual threshold
(McFarland  et a/., 1944) or temporal  discrimination (Beard  and Wertheim,
1967).  Direct measures of CNS function are ultimately required to validate
behavioral inferences and to elaborate the neurophysiological  effects of toxi-
cant exposure on  brain tissue. Electrocortical events recordable from the scalp
of humans provide a noninvasive measure of electrical activity of the brain. If
these events are recorded during the performance of sensorimotor or cognitive
tasks, changes in  behavior and  CNS function can be measured concurrently.
Moreover, neuroelectric events  can be recorded from the scalp  or from elec-
trodes implanted in specific brain  structures (cf. Woolley, this volume). Event-
related  potentials  of the brain thus offer  a promising bridge for  the compara-
tive study of neurobehavioral toxicant effects in  man and  animal.

Methodological  Problems in Human  Research

Individual  Differences

Philosophers have  devoted volumes to the concept of free will, or the tendency
of man to behave  in a nondeterministic, unpredictable manner. In the labora-
tory this translates to  individual differences and intersubject variability. If free
                                10-1

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will is the unique characteristic which differentiate man from beast, it poses a
great nuisance in behavioral toxicology. Application of stringent criteria based
on standard personality  and medical inventories, physicals, and interviews to
secure  "normal,  healthy"  populations has been  remarkably unsuccessful in
reducing  intersubject  variability.  No  matter  how  rigorously  subjects  are
screened  in preparation for human  experiments, there is no  hope  of  ever
attaining a pure laboratory  strain of.Homo sapiens.

This problem is particularly severe when the objective  is to define the threshold
level at which a given toxicant produces a significant impairment  in function.
Threshold effects, by definition, are "just noticeable differences."

How can  individual variability be  minimized in the study of toxicant thresh-
olds? The standard  approach is to use a repeated-measures design in which each
subject is exposed double-blind to multiple levels of a  toxicant, including a  "no
drug"  control or baseline  condition. The variability attributable to individual
differences can then be partialled out by subtracting control values from expo-
sure values. The residual, theoretically, represents the effect of toxicant expo-
sure. One disadvantage of  the repeated-measures design, compared to  an inde-
pendent-measures design, is a loss of degrees of freedom and, therefore, a loss
in statistical power. Repeated-measures designs  also place restrictions on expo-
sure regimens due  to "carry-over" effects, a problem which will  be discussed
later.

Phylogenetic Differences in  Brain Function

Language Capacity

One of the complaints  voiced  frequently by  behavioral  toxicologists is the
length  of time  required to train  a  rat or monkey to  perform a simple  dis-
crimination.  Homo sapiens,  with  his advanced  language capacity,   can  be
handed a written set  of instructions instead of patiently shaping his behav-
ior with  operant  conditioning techniques. The  training period is certainly
shorter in man, but the advantage gained is often illusory.

In communicating  verbally or in writing, the  investigator is faced in  human
research with  a dismaying  problem called "instructional set." Instuctions must
be carefully standardized  across subjects. The  unique blend of expectancies,
motivation, and  experience  which each subject brings  to the laboratory has
considerable bearing on  how the  individual  responds to instuctions. More
than likely, the  subject will  be  a  college student, peering skeptically at the
instructions and trying to second-guess the investigator.

Cortical Development

Language capacity  is an  example of cortical development which differentiates
Homo sapiens on  the  phylogenetic scale. Man has a proportionately larger
cortex, particularly in  the frontal region, than most animals. This capacity
permits the study  of more complex "cognitive" tasks than might  be con-
sidered with other species. Again, the advantages are probably illusory, since
                                   10-2

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complex tasks yield  complex results which  may obscure the simple effect of
toxicant exposure.

The extensive CO studies of Beard and Grandstaff (1975) provide a good illus-
tration.  Impairments  in performance due to CO exposure were observed  in
simple visual  and auditory signal detection  tasks, but when subjects were re-
quired to make a complex spatial rotation, no CO effects were observed. Beard
and Grandstaff  concluded  that the physiological arousal produced by the com-
plex,  challenging task completely compensated for the subtle impairment ob-
served during CO exposure in other simple, monotonous tasks.

Sensory Dominance

Another  dimension of brain function which varies  widely  among species is
sensory specialization. Olfaction  is the dominant modality in rats, while vision
and hearing are dominant in man.  Differences in sensory dominance compli-
cate interspecies comparisons and must be taken into account in experimental
design. Sensory  discrimination tasks appropriate for one  species may not be
appropriate for another. Cats, for instance, have  very poor color vision, while
primates have excellent color vision. Unless the toxicant under study is known
to have a modality-specific effect, it would seem prudent to challenge a domi-
nant, rather than a minor sensory function.

 In practice, the investigator frequently does not know which sensory modality,
if any, will  be  sensitive to toxicant exposure. A good strategy is to challenge
multiple modalities to determine comparative sensitivities. Misconceptions can
easily arise if observation is limited to a single modality, particularly when the
results are negative. Dyer and Annau (in press), for instance, failed to find any
low level CO effect  on visual evoked potentials  in the rat. Groll-Knapp et a/.
 (in press), however,  compared the  effects of low level CO on somatosensory
 (SEP), auditory  (AEP), and visual  evoked potentials (VEP)  in  humans.  The
SEP  was maximally sensitive, the  AEP was less sensitive, and the VEP was
insensitive to CO effects. Although  it is risky to extrapolate across species, the
significance  of  Dyer and Annau's negative findings is difficult to evaluate with-
out comparative evidence from other sensory modalities in the rat.

 Ethical Considerations

 Federal Requirements

Some scientists would prefer to  leave ethical considerations to philosophers or
theologians, but the federal government has legislated otherwise in the case of
human research.  The National Research Act of 1975 (PL 93-348)  established
guidelines to safeguard the rights and welfare of human subjects. The Depart-
ment of Health, Education, and Welfare  has assumed primary  responsibility
for implementation  and  enforcement of PL 93-348 in accordance with the
Code of Federal  Regulations  (45CFR46).  DHEW-supported activities conduct-
ing human research are required to establish an Institutional Review  Board to
assure the protection of human  subjects. Investigators  must obtain  approval
from the Board before initiating any study of human subjects and must submit
periodic  reports  to  the Board  to assure compliance with federal guidelines.
                                  10-3

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Informed consent must be obtained from subjects (or legally authorized repre-
sentatives in the case of minors, prisoners, or individuals who are mentally or
physically incompetent). To illustrate the stringency of requirements, the fol-
lowing information must be  provided to satisfy the  definition  of "informed
consent" (45CFR§46.103):

      o    A fair explanation of the  procedures to be followed  and their pur-
           poses, including identification of any procedures which are experi-
           mental;

      o    A description of  any attendant discomforts and risks reasonably
           to be expected;

      o    A description of any benefits reasonably to be expected;

      o    A disclosure of any appropriate alternative procedures that might
           be advantageous for the subject;

      o    An  offer to  answer any inquiries  concerning the procedures; and

      o    An  instruction that the person  is free to withdraw his consent and
           to discontinue  participation in  the project or activity at any time
           without prejudice to the subject.

Federal agencies engaged in human research are subject to further constraints
on  the type of  information that may be collected  (Privacy Act of 1974) and
the manner in which the information may be disseminated (Freedom of Infor-
mation Act of 1966). The objectives of these regulations are laudable, although
the practical results are increased  paperwork  and  slower implementation of
research.

Exposure Limits

Ethical considerations limit  the study of toxicant effects  to  relatively low
exposure levels  in adult populations.  Therefore, only the  lower segment of a
dose-response curve  can be experimentally  defined in humans,  although acci-
dental or occupational exposures may supplement data obtained in the labora-
tory.

The usual  objective  in  studying the effects of low concentrations is to deter-
mine  the threshold toxicologic dose (TTD) or "no effect" level.  The TTD may
be defined  as the concentration below which no functional impairment can be
demonstrated.  In  principle,  experimental procedures  to determine  TTD and
LDso are similar,  i.e., methods to estimate the dose at which  50 percent of
the true population will exhibit a specified  effect within prescribed  statistical
confidence limits. Death is  an absolute, unambiguous criterion of effect in
determining the LD50. Functional  impairment, on the  other hand, is the
relatively ambiguous criterion  of effect in  determining TTD. This criterion is
operationally defined relative to performance  in a  nonexposed  control copu-
lation.
                                  10-4

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If an overt behavioral parameter—such as the error rate in a vigilance task- is
chosen as the  criterion  function, then  the physiological significance of any
observed functional impairment must be inferred from behavior. For example,
what is the physiological significance  of an increase in the number of visual
targets missed during exposure to 75 ppm carbon monoxide compared to clean
air? Although the observed effect may be significant at the 0.05 level of confi-
dence, behavioral, statistical, and physiological significance are not synony-
mous.

Furthermore, the toxicologic threshold is a function of methodological  sensi-
tivity as well as absolute chemical potency. That is, the  absence  of an observed
effect may be due to the use of an inappropriate index or a crude measurement
device which is incapable of detecting an actual toxicologic effect. The choice
of an appropriate  test assumes  that the  investigator knows in advance which
function is most likely to be affected. With new drugs or untested toxicologic
substances, this assumption is frequently untenable. In this case, preliminary
study  of  multiple functions  must be undertaken to identify  which  is most
sensitive to the substance under investigation.  When the appropriate function
has been  identified, the investigator must then select the most sensitive mea-
surement available. In the behavioral sciences,  this choice  is problematic since
there are as many different tests as there  are pineftrees in Georgia. The need for
standardized, properly-validated test batteries is critical  in behavioral toxi-
cology and in the behavioral sciences in general.

The investigator is limited in the duration  as  well  as the level  of toxicologic
exposure  in human research. Economic,  social, and ethical considerations limit
the length of time that humans can  be confined in  an experimental chamber.
Human studies generally consist of short-term  exposures lasting no more than
2-4 hours. Repeated acute exposures may be made at periodic intervals of days,
weeks, or months. Between exposures, however, the subject generally departs
from the laboratory and the sphere of experimental control.

Acute high-level exposures occur  occasionally  in  humans as a  result  of acci-
dents or natural disasters. Chronic low-level exposures are also encountered in
occupational environments. The investigator has  no control over  such expo-
sures, and the conclusions which can  be drawn from these isolated instances are
limited. Therefore, chronic, in utero, and longitudinal toxicologic studies must
be undertaken in species other than Homo sapiens.

Noninvasive Measures

Human research in normal adult populations is limited to measurements which
do not require any  major surgical intervention. If  there  is no added risk  to
patient health, basic researchers can  often collaborate with physicians treating
patients  with acute  disorders which entail  surgical  intervention. Penfield and
Jasper (1954), for instance,  contributed greatly to the knowledge of neuro-
physiology by electrically stimulating the cortex of patients undergoing stereo-
taxic craniotomy  for treatment of intractible  epilepsy. This kind of fruitful
collaboration, however, is rarely available to the behavioral toxicologist except
in the case of accidental poisoning. Thus, systematic studies of physiological
                                  10-5

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parameters which  require  implantation  of  cannulae of electrodes  must be
undertaken with nonhumans.

Sex Differences

The variable of sex is often ignored in human research. The potential danger to
an unborn fetus, however, precludes  the use of pregnant women in toxicolog-
ical research.  Nor can the investigator rely on verbal report, since a prospective
subject may not know  if she is pregnant. Women should  be given pregnancy
tests before exposure.

Menstrual cycles also pose a problem which must be taken into account, par-
ticularly  if the experiment requires repeated exposures at fixed  intervals (e.g.
weekly).  Since the behavioral effects of toxicants,  particularly at low concen-
trations,  tend  to be  extremely subtle,  the physiological  and  psychological
states of subjects must be maintained as constant as possible.

In view of these problems, the simplest recourse is to limit human toxicological
research to male  subjects. This alternative can pose problems  in the present
climate  of sexual egalitarianism. For instance, three young ladies walked into
our  laboratories recently, demanding equal time  and equal  pay.  When  they
were shown what the experiment would entail—pedaling a bicycle ergometer in
a transparent plastic chamber while stripped to the waist for ECG  recording-
two  blushed  and left  the  laboratory.  The  third, however, smiled and  asked
when she could begin. A practical difficulty in accommodating such egalitari-
anism  is that sample  size  must  be  doubled  to  control  for sex differences.

Experimental Control in Human Research

Many variables such as diet, length and pattern of sleep, and learning history
can be easily  controlled in animal populations. These variables are extremely
difficult to control  in human subjects who come into the laboratory for short-
term acute exposures.  Even with elaborate  instructions and questionnaires, it
is impossible to control or determine unequivocally what subjects do outside
the laboratory.

One approach to this  problem is to continously monitor the behavioral and
physiological  state of subjects for an extended period of time before, during,
and  after exposure. Telemetry systems  offer a flexible tool  for  remote  moni-
toring of free-roving subjects in work or home environments. Live-in facilities
which permit  continuous, intensive  study for periods of days or even weeks,
however, provide the most effective control of variables  such as  diet,  sleep,
exercise, and toxicant exposure.

The  Clinical  Laboratory Evaluation and Assessment of Noxious  Substances
(CLEANS) facility in Chapel  Hill, North Carolina provides an example of live-
in chambers designed specifically for studying the health effects  of environ-
mental toxicants in  humans. The  CLEANS facility consists of two large expo-
sure  chambers with a computerized  physiological  data  acquisition system as
diagrammed in Figure 10-1.  Up to four subjects can be studied simultaneously
in each chamber, permitting  rapid  collection of data for characterizing the
                                  10-6

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                                                          DIGITAL CONTROL LINES
O
vj
                         It
LUNG MECHANICS
GAS EXCHANGE
NEUROBEHAVIOR
                                  EXERCISE
                                  OXYGEN CONSUMPTION (
                                  RESPIRATORY QUOTIENT
   	       	                  ELECTROCARDIOGRAM (ECG)
 ELECTROENCEPHALOGRAM (EEC)  ^OOD PRESSURE (BP)
 EVENT-RELATED POTENTIALS (ERP)CARDIAC OUTPUT (QC'
.INFORMATION PROCESSING
 SIGNAL DETECTION (SD)
 REACTION-TIME (RT)
 SUBJECTIVE RATINGS
    COMMUNICATIONS LINES
     CARDIOVASCULAR
     ELECTROCARDIOGRAM (ECG)
2 (R. BLOOD PRESSURE (BP)
     SYSTOLIC TIME INTERVAL (STI)
     ECHOCARDIOGRAPHY (ECHO)
     CARDIAC OUTPUT (QC>
                                                                  OPERATOR
                   Figure 10-1.  Schematic representation of the testing facility and psychophysiological functions to be studied in humans during
                   prolonged exposure to low-level  environmental insult. The computerized exposure, monitoring, and physiological data acqui-
                   sition system will  permit precise control of experimental variables. Four subjects can be tested simultaneously in each live-in
                   chamber. (Drawing courtesy of R. W. Stacy, Ph.D.

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toxicologic effects  of  oxidants, acid aerosols, odors, noise,  and microwave
radiation.

Event-Related Potentials in Human Toxicological  Research

Event-related potentials  (ERPs) of the  brain may be  recorded  noninvasively
from the scalp of man or from electrodes implanted in  specific neural struc-
tures  of animals.  Neuroelectric "events" include sensory evoked potentials,
association potentials,  and motor-related potentials. Sensory evoked potentials
are elicited by external stimulation of auditory, visual, or  somatosensory recep-
tors and reflect the arrival of afferent signals from peripheral receptors. Associ-
ation  potentials reflect a later stage of information processing  related to the
evaluation of incoming signals which have already been registered.  Association
potentials presumably  index the activity of corticocortical or thalamocortical
circuits involved in central decision-making processes. Motor-related potentials
reflect cortical  processes associated with the preparation  for and execution of
motor responses,  processes which  include  signals emitted from  the central
nervous system to peripheral effectors.

William Grey Walter (1964), a  British neurophysiologist,  first described a slow
negative shift in electrical activity of the brain related to sensorimotor condi-
tioning in man. This discovery spawned the rapidly growing study of event-
related potentials.  ERP investigators encompass many  disciplines  including
psychology,  psychiatry, neurology, physiology, and  pharmacology.  To the
psychologist, ERPs offer a  long-sought quantitative  handle on mental proces-
sing, an index of activity in the "black box'' intervening  between stimulus and
response.  To the behavioral toxicologist, ERPs offer  a  noninvasive  index of
chemical insult at the various  stages of information processing in the central
nervous  system.  The  advantages of ERP techniques  in human toxicological
research will be reviewed below.

Noninvasive Measure of CNS Function

Ethical considerations  preclude the use  in human subjects of techniques which
require surgical intervention  or which pose a threat  to safety  or health. ERPs
provide a noninvasive measure of CNS function which can be used without risk
in human  research. Some  neurotoxins such  as industrial solvents produce
peripheral rather than central  neuropathy (Seppalainen, 1975;  Zappoli et al.,
in press).  Traditional  electroneuromyographic  measures, such  as  maximal
nerve  conduction  velocity,  may be more sensitive than ERPs with substances
which  produce peripheral neuropathy.  On the other hand, peripheral deficits
should be reflected  in decreased amplitude and/or  increased  latency  of early
sensory evoked potential components in the impaired modality. Lead poison-
ing,  for instance,  produces marked peripheral  neuropathy.  Somatosensory
evoked potentials (SEP)  elicited by stimulation of the damaged afferent path-
way should  reflect  this deficit centrally. Supportive evidence was recently
reported by  Seppalainen (in press) who found that the SEP was more sensi-
tive than peripheral measures in diagnosing subclinical neuropathy in workers
chronically exposed to lead in a storage battery factory.
                                   10-8

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Sensitivity to Drug Effects

Many substances consumed  for pleasure or medicinal purposes may be toxic
if used in excess or may produce altered states of consciousness in lesser con-
centrations.  Alcohol is  a  CNS depressant whose intoxicating and anesthetic
qualities have been used and abused for millennia. The tragic consequences of
drug abuse and addiction  are  a direct concern of the clinician. On the other
hand, the systematic administration  of drugs  whose  behavioral  and neuro-
physiological mechanisms  are known can provide the experimental  toxicologist
with a useful tool for comparative evaluation of unknown chemical substances.
The prospective sensitivity of event-related  potentials  to neurotoxins can be
similarly gauged by examining the effects on ERPs of commonly used psycho-
tropic drugs including stimulants, depressants, and tranquilizers.

Considerable evidence is available on the effects  of psychotropic drugs on  the
contingent negative variation (CNV),  a slow negative ERP observed during a
signaled  interval  preparatory  to  motor response  or  cognitive decision. In
general, CNV amplitude  is enhanced  by  stimulants—amphetamine (Kopell
et al., 1974)  and caffeine  (Ashton  et a/.,  1974)—and decreased  by depres-
sants and  tranquilizers—barbiturates  (Kopell  et a/., 1974), chlorpromazine
 (Tecce et al., 1975), carbon  monoxide (Groll-Knapp et al.,  1972), ethanol
 (Kopell et al., 1972) and nitrazepam (Ashton et al., 1974). In cases where  the
behavioral effect of drugs has been paradoxical, CNV changes have consistently
mirrored behavioral  observations. That is,  when a given drug enhanced  per-
formance  in  some subjects but depressed performance in others, CNV ampli-
tude varied in the same direction as performance. Paradoxical effects have been
reported with d-amphetamine (Tecce and Cole, 1974) and  nicotine (Ashton
et al., 1973). This evidence suggests that  the  CNV should provide a  useful
index of central-acting neurotoxic drug effects.

 Convergent and  Discriminant Validity

 ERP  techniques offer the advantage of simultaneous behavioral and electro-
 physiological measurement  of toxicant effect. That is, ERPs are  usually re-
corded  during performance  of sensorimotor conditioning, signal detection, or
vigilance tasks which yield concomitant behavioral measures. Multiple measures
 lend convergent validity to  results when two or more measures vary consis-
tently or correlate highly. Groll-Knapp et al.  (1972)  demonstrated convergent
validation of a vigilance decrement during low-level carbon  monoxide expo-
sure.  Signal  detection and the amplitude  of a  slow negative brain  potential
both varied inversely with  CO concentration.

On the other hand, it would be redundant to collect both types of information
if behavioral  and electrophysiological  measures always  yielded  convergent
results. The data would be more informative if the measures were orthogonal,
i.e.,  indexed independent  dimensions. The  discriminant validity of these mea-
sures is the degree to which ERP and behavioral parameters  reflect orthogonal
dimensions. ERP and behavioral measures frequently do not covary. Reaction-
time, a traditional  behavioral  index  of central processing time, can be easily
dissociated  from  the CNV observed  during  the  reaction-time   fore-period
                                 10-9

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Rebert and  Tecce,  1973). Similarly, the observed electrophysiological effects
of toxicant exposure might be orthogonal to behavior, i.e., ERP changes might
be observed in the absence of a behavioral deficit. Winneke and Kaska (1974),
for instance, observed a decrease in amplitude of the AEP without impairment
of vigilance  performance in subjects exposed to trichloroethylene. The irony
of the Winneke  and Kaska finding is that the functional significance of the
ERP  deficit is  difficult to evaluate in  the absence  of  convergent  behavioral
validation.

Localization of Neurotoxic Effects

Although the precise neuroanatomical substrate of most event-related poten-
tials is presently unknown, it is generally  assumed that  the temporal sequence
of early components in sensory evoked potentials reflects the serial transmis-
sion of signals  along afferent pathways from distal (brainstem)  to proximal
(cortical) structures. Evidence  is rapidly accumulating  that later components
reflect successive stages of information  processing at the cortical  level. Picton
et al. (1974), for instance, have identified fifteen distinct components  in the
auditory evoked potential as shown in Figure  10-2. They attribute early com-
ponents (within  8 msec of stimulus onset) to activation of cochlea  and  brain-
stem  auditory nuclei,  middle  components  (8-50  msec) to activation of the
auditory  thalamus and cortex,  and late components (50-300 msec) to diffuse
activation of frontal cortex.
                    HUMAN AUDITORY EVOKED POTENTIALS
            60 dB CLICK STIMULUS, VERTEX TO MASTOID RECORDING
      VERTEX   0.5
      POSITIVE
                   10   20     50   10   20     50   100  200

                                      LATENCY, ms


 Figure 10-2. Diagram of auditory evoked potential components plotted on logarithmic
 scales  (from Picton et al.,  1974 courtesy of Elsevier Scientific Publishing Company).
                                 10-10

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Table 10-1  summarizes contemporary evidence on the  neuroanatomical  origin
of AEP components. Note that components with latencies greater than 20
msec  are presumed  to be  of cortical origin.  The topographic recording and
mapping of middle and late components permit at least a crude localization of
the source  of  these components within the cortical mantle. As the neuroana-
tomic origins of ERP components are elaborated, ERP  techniques will become
an  increasingly important  tool  for  localizing  the site of  neurotoxic action.
      Table 10-1.  PROBABLE NEUROANATOMICAL SOURCE OF AUDITORY
     	EVOKED POTENTIAL COMPONENTS3	


            Latency,
Component
I
II - IV
V, VI
N , P N
pa. Nb
msec
<2
2-5
6-7
8-20
21-49
Probable source
Auditory nerve fiber
Cochlea Si superior olivary
nuclei
Lateral lemniscusor
inferior colliculus
Medial genicuiate & non-
specific thalamlc nuclei
Anterior Si posterior
Reference
Jewett Si Willlston, 1971
Galamboset a/., 1959
Webster, 1971
Kitahata eta/., 1969
Picton eta/., 1974
Ibid.
                          association cortex
 P2, N2
           50-300
Widespread activation of
 frontal cortex
Goff eta/., 1969
Kooi eta/., 1971
Hardin & Castellucci, 1970
 aBased on T. W. Picton eta/., 1974.
 Neurotoxic Effect on  Information Processing

 Neurotoxic effects on complex integrative (or cognitive) functions of the brain
 have  been inferred from behavioral  measures in the  past (e.g.,  Beard and
 Grandstaff,  1975).  Event-related potentials offer a more  direct, remarkably
 sensitive index of cognitive processing in the central nervous system. Theories
 of  signal  detection  (Green and Swets,  1966) and information processing
 (Broadbent 1958, 1971;  Treisman, 1969)  have provided the conceptual frame-
 work for investigating  the relationship  of ERP  components and cognitive
 processes  in man. Tueting (in press) has critically reviewed this rapidly-expand-
 ing field of research.  Hillyard et al. (1973), Picton et a/.  (1974), Picton and
 Hillyard (1974), and Schwent and Hillyard (1975) have  intensively studied the
 functional significance of auditory ERPs.  Evidence from these studies suggests
 that components with latencies in  the  60-120 msec range reflect attentional
 processes  related to stimulus  selection  or "stimulus set,"  while later compo-
 nents (160-500  msec)  reflect decisional  processes  of  response  selection  or
 "response set."
                                   10-11

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The  amplitude  of  a  large positive polysensory* wave, peaking 200-400 msec
after stimulus onset (designated  P300), varies  inversely  with  the  probability
of stimulus occurrence (Tueting et a/.,  1971). Probability of  occurrence  is
also  a theoretical definition of information content. The P300 has been asso-
ciated  in  other  studies  with decision-making  (Davis, 1964), information
delivery  (Button et a/., 1967), and response  inhibition  (Papakostopoulos  and
Crow,  1976).  In  brief,  considerable  evidence has accumulated  that ERPs
reflect multiple parameters of information processing in man.  ERPs should,
therefore,  provide an  excellent, noninvasive  electrophysiological  index of
neurotoxic insult on cognitive function.

The Neurobehavioral  Effects of Low Frequency  Noise  in  Humans:
An Application  of ERP Methods

The  following study was designed to assess the effects  of low frequency  ran-
dom noise (11.5-325 Hz) at moderate intensity (80 db) on ERPs and behavior.
The  results have been  reported in detail elsewhere (Benignus et a/.,  1975  and
Otto et a/.,  in press). Selective  aspects will be elaborated here to illustrate
basic principles of  ERP methodology.

Rationale

Although discussion in this chapter has been oriented  toward  chemical  sub-
stances, the behavioral toxicologist is  also concerned with physical insults to
the brain including noise and electromagnetic  radiations. Noise is a staple  in
urban  man's diet of  carbon  monoxide,  oxidants, acid aerosols,  and  heavy
metal particulates. Noise is an  omnipresent stressor capable  of severely  dis-
rupting behavior or physically damaging the auditory system at high intensities.

Many researchers  routinely use  white  noise to mask  extraneous laboratory
sounds during testing.  What  is the effect of masking noise on human perfor-
mance?  That question underlies  the following experiment in which the level
of noise  was not  perceived as particularly irritating or distracting. The syner-
gistic effects of noise and noxious chemical substances which frequently occur
together  in experimental as well as real-life situations  are also or empirical
interest.

Vigilance tests have been widely used in studies  of stress  (cf. Broadbent, 1971).
The  vigilance decrement-a measure of target signals missed over time-appears
to be extremely sensitive to both  physical and chemical stressors. A continuous
performance vigilance  test designed by Rosvold  et al. (1956) to minimize
fluctuations  in  alertness was  used as the  behavioral  context.  Mirsky  and
Rosvold  (1960) found this test to be sensitive to psychoactive drug effects.
McCallum  (1975)  demonstrated its utility  in recording event-related potentials.
 "That is, the observed effects are independent of sensory modality.
                                   10-12

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Methods

Subjects

Twenty-seven male  university students, aged  18-31,  were paid to participate.
All  subjects were carefully screened to  determine that hearing (Bekesy audio-
meter), personality  (Minnesota Multiphasic Personality Inventory), and health
(physical examination) were within normal limits.

Continuous Performance Test (CPT)

Single-digit numerals were displayed at one-second  intervals in pseudorandom
series. Subjects were instructed to press a button whenever a sequence of three
consecutive even digits or three consecutive odd  digits (a  three-string) was
observed. Digits were presented in  nine 12.5-minute series,  each containing
about  111 target  three-strings. Three-minute rest  breaks were  interspersed
between work periods.

The CPT imposes greater information processing demands than classical vigi-
lance or signal detection  tasks. Stimuli  in a standard vigilance task require a
simple  binary  decision—target  or  nontarget.  The  numeric  monitoring task
described here  includes  a  short-term memory component.  In order to identify
a target correctly, subjects must recall the previous two  stimuli. Target identi-
fication  also requires more  than  simple physical matching of stimuli. Each
numeral must  be  coded  as "even"  or  "odd" and  this  "polarity" dimension
must 'be held  in short-term  memory. No single stimulus  or  simple template
match provides the  solution.

 More complex  questions can  be addressed with a three-string sequential depen-
dency than with a binary-choice problem.  For instance, the  proportion  of
target and neutral stimuli  cannot be varied independently in a binary vigilance
problem.  One factor is always the converse of the other. In the ternary prob-
lem, however,  the  value of one factor does not uniquely define the values of
the other two factors.  Benignus et al.  (1976) have exploited this feature to
reassess the effect of signal rate on vigilance performance.

 If the reader is momentarily  experiencing a decline in vigilance, the discussion
bears out Occam's razor: parsimony  is the essence of  good  experimental
design!  The high level information-processing capabilities of Homo sapiens may
tempt the  behavioral toxicologist to needless levels of complexity. The theo-
retical challenge of the  CPT notwithstanding, a  simple binary-choice vigi-
lance task would be better suited for interspecies comparison of toxicological
effects!

 Experimental Design

Subjects completed orientation, stabilization, and  testing sessions on three
consecutive days.  The  first  day consisted of an abbreviated training  session
to  familiarize  subjects  with  the task and laboratory setting. On the  second
                                   10-13

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day electrophysiological recording procedures were introduced and the subjects
were trained to fixate on a visual target to minimize eye movements.*

Subjects also completed nine numeric-monitoring series during which perfor-
mance reached asymptote. The same procedure was repeated on the third day.
Analyses  are  based on  stabilized  performance  recorded  on the fin-al  day.

The  output of a  random-noise generator was bandpass-filtered  to obtain a
91-325 Hz noise spectrum  and was then tape-recorded at 15 inches per second
(IPS).  A second noise spectrum (11.4-41 Hz) was obtained by playing the tape
back  at 1 7/8 IPS.  These  bandwiths will be designated hereafter as upper (U)
and lower (L).  The noise was presented free-field through a loudspeaker placed
about 1.9 m in front of subjects. **

Noise  and no-noise control (C) conditions were alternated during successive
work  periods on  days  2  and 3 as follows: CUCLCLCUC or CLCUCUCLC.
Noise  exposure schedules were counterbalanced across subjects with each one
exposed to a different schedule on succeeding days. Subjects were instructed to
ignore the noise.

An alternating repeated-measures design is useful only  when the effects of a
stressor are presumed to be rapidly reversible.  It \snot practical with chemical
compounds which accumulate in body tissue during exposure. In any repeated-
measures study, sufficient  time for a complete return to physiological baseline
must be allowed between successive exposures. This may be a matter of hours,
days,  or months, depending on the biological  half-life of the test compound.
Liposoluble substances  such as DDT and dieldrin, for instance, accumulate in
the fatty tissues of mammals  (cf. Walker, 1974) where residues may persist for
years. Independent groups are more  practical  (or mandatory) with persistent
substances such as heavy metals or organochlorine insecticides.

Electrophysiological Procedures

The recording  of electrophysiological  parameters  is a relatively simple proce-
dure  but requires sophisticated electronic equipment.  Figure 10-3 is a  sche-
matic diagram of the basic components required to record psychophysiological
parameters such as the electroencephalogram (EEC), electro-oculogram (EOG),
electromyogram  (EMG),  and electrodermal response (EDR). Excellent des-
criptions  of recording techniques  are  available elsewhere  (e.g., Venables and
Martin,  1967; Greenfield   and  Sternbach, 1972; Thompson and Patterson,
1974). Only a brief overview is provided here.
  *Eye movement artifact can severely contaminate ERP recordings if subjects do not
   fixate on a visual  target. Normal adults can be easily trained to fixate. Eye movement
   control  poses a serious problem in young children and abnormal adult populations
   (i.e., psychotics or sociopaths) where subjects are unable or refuse to fixate. Hillyard
   (1974) describes  techniques that can  be used to compensate for eye movement atri-
   fact under these circumstances.

 **See Benignusef a/. (1975) for technical details of noise generation.


                                   10-14

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o

Ul
                                               AMPS AND
                                             PREAMPLIFIERS
                                            BAND-PASS FILTERS
                                                                  ANALOG CHART
                                                                     RECORDER
                                      ANALOG TAPE
                                        RECORDER
                                     DATA ACQUISITION
                                       AND STORAGE  |
                                                                                              MINI COMPUTER
                                                                                             ANALOG-DIGITAL
                                                                                               CONVERSION,
                                                                                            SIGNAL AVERAGING
                                                                                            I  AND  PLOTTING |
                                      MASS STORAGE
                                         COMPUTER
                                      SPECTRUM AND
                                  STATISTICAL ANALYSIS
                                   [SIGNAL AVERAGING)
                                   /CUMULATIVE^
                                   (   RESPONSE
                                   VRECORDER
RESPONSE^
RECORDER/
REACTION TIME
 ^RECORDER
>	?
*S     r*r
                                                                                              PROGRAMMABLE
                                                                                                   LOGIC
:ATA ACQUISITION,
   EXPERIMENTAL  f
CONTROL, STIMULUS--
 JRESPONSE CODING|_
                                            U
                  Figure 10-3. Diagram of basic equipment needed to record event-related potentials of the brain and other psychophysiological
                  parameters of human performance.

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Nonpolarizing electrodes are attached to the scalp and appropriate skin areas
with commercially-available pastes or adhesive collars for short-term exposures.
Collodion provides a more stable bond for longer exposures. The International
10-20 Electrode System (Jasper, 1958) is generally used as a reference for EEC
electrode placement to standardize procedures among laboratories. It is manda-
tory in  ERP research to record vertical EOG in order to identify records con-
taining  eye movement artifact. If movement-related potentials are to be mea-
sured it is also important to record the EMG of  responding muscle groups for
comp'arision of central waveforms  and the  temporal pattern of distal  motor
unit discharge.

In the present study, nonpolarizable silver-silver chloride Beckman biopotential
pellet electrodes were placed at the vertex (Cz) and over the right (P3> and  left
(P4) mid-parietal association areas.  Electrodes were also placed above the inner
canthus and  below the outer canthus of the left eye  to monitor and record
eye  movements. Scalp electrodes were referred to a linked pair of electrodes
clipped to the earlobes. The earlobes are  considered to be electrically neutral
so  that electrical  potentials recorded differentially between scalp electrodes
and linked ears can  be assumed  to reflect activity at the scalp  recording site.
Parietal recordings were made to investigate the effects of low-frequency noise
on the coherence of spontaneous  EEG rhythms in the  left and right hemi-
spheres. This report will be limited to ERP components observed at the vertex.

The amplitude  range of  spontaneous  EEG  rhythms  in  normal adults is 2-
200 /-iV (see  Table 10-2).  It is necessary, therefore, to amplify the spontaneous
EEG by as much as  1Q9 to reach  the minimum  1 V  peak-to-peak deflection
required by  IRIG,  *Telemetry  Standards (1969).  Amplified signals are then
recorded  on FM tape or  channelled  directly  to a computer for analysis. If
laboratory facilities permit, electrophysiological  data should be processed  on-
line for immediate availability of results.  Frequently, on-line computer access
is not practical, and the data is recorded on analog tape for off-line processing.

Signal Averaging

How are EEG signals processed?  In signal averaging the first step is to convert
the  continuous EEG  record to a series of discrete voltage samples—a process
called analog-to-digital conversion. The digitizing  rate determines the minimum
frequency  of ERP components which  can  be resolved. That is, the digitizing
rate should be at least twice the frequency of the fastest component to be
measured. Since most ERP components are slower than 50 Hz, a digitizing  rate
of  100 Hz is adequate in  most cases. Analysis of brainstem evoked potentials
which occur within the first  10 msec  following stimulus onset, however, re-
quires a digitizing rate of at least 2000 Hz.

The second step is signal averaging  in which digitized arrays of  data from  suc-
cessive  trials time-locked to  a  repetitive event  are summed and  divided by
the  number  of trials. The triggering event is usually an external stimulus  but
 "Inter-Range Instrumentation Group.
                                 10-16

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may also be a response mechanogram, EMG burst, or any discriminable physio-
logical signal.
 Table 10-2. CHARACTERISTICS OF SPONTANEOUS EEC RHYTHMS IN NORMAL
                            HUMAN ADULTS"
Type
Delta
Theta
Alpha
Beta

Frequency
(c/sec)
0.5-4
5-7
8-12
18-30

Amplitude
(JUV)
20-200
5-100
5-100
2-20

Level of consciousness
: Slow wave sleep
Slow wave sleep
Awake, relaxed
Awake, concentrating
or rapid eye
movement (REM)
sleep
 aAdapted from Lindsley and Wicke (1974, p 26).
 Why  is signal averaging necessary? Scalp-recorded  ERP components  are fre-
 quently  submerged  in  a  turbulent  sea  of  spontaneous EEC  rhythms. For
 instance, brainstem evoked potentials are 1 /iV or less, sensory evoked poten-
 tials are  5-15 /xV, and association  potentials are  5-25 [iV in amplitude. Spon-
 taneous  EEG rhythms  range from 2-200 /iV in normal adults as shown  in
 Table  10-2.  Signal averaging is an effective method of increasing the ERP
 signal-to-EEG noise ratio.

 Signal averaging assumes that the temporal characteristics of ERPs are invari-
 ant with respect  to the triggering  event. That is, the signal is assumed to be
 stationary  in time. In statistical terms, the mean  and variance  of the signal
 should be constant within the averaging epoch and across successive trials. The
 validity of  this assumption is dependent on the length of time required to col-
 lect trials for the average. Unfortunately, Homo sapiens has little  respect for
 statistical theory and tends to  be  notoriously variable. ERP changes due to
 alterations  in arousal, attention, fatigue, habituation, learning,  or other  dy-
 namic neural processes  are  obscured by signal averaging.  This problem is
 minimized  by using as few trials as possible in  the construction of averages.

 How many trials should be included in  a given signal average?  As a rule  of
 thumb, the amplitude ratio of spontaneous  EEG  to ERP  is proportional  to
 the square  root of the number  (N) of trials (EEG/ERP = \/N). Table 10-3 pro-
 vides a simple guide to determine  N. ERP and EEG values represent peak-to-
 peak measurements.

 Rigorous treatment of the theory, methods,  and problems of signal averaging
 are beyond the scope of this review. Procedures and problems specific to ERP
 research  are  discussed in depth in Donchin  and Lindsley  (1969),  McCallum
 and Knott  (1973, 1976) and Thompson and Patterson (1974). Vaughan (1974)
 provides a particularly lucid account.
                                  10-17

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 Table 10-3. MINIMUM NUMBER OF TRIALS REQUIRED FOR SIGNAL AVERAGING
  AS A FUNCTION OF ESTIMATED ERP AMPLITUDE AND AVERAGE AMPLITUDE
                          OF SPONTANEOUS EEG

Estimated
ERP
amplitude
(MV>
0.5

1.0
2.0
5.0
10.0
25.0
Number of trials/average


EEG Amplitude (jUV)
25 50 100
2,500 10,000 40,000 "^

625 2,500 10,000
156 625 2,500
25 100 400 "1
6 25 100 >
1 4 16 J




Type of ERP

Brain stem
evoked potentials
V Sensory evoked potentials
Association potentials

 Results

 Changes in  numeric-monitoring efficiency  and ERP amplitude were observed
 during exposure to low-frequency noise. Figure 10-4 illustrates the behavioral
 effects.* In brief, a vigilance decrement across time was observed in all condi-
 tions. Subjects missed more target strings  during both upper (p < 0.005) afid
 lower band (p < 0.039) series than during control series. The difference in
 performance between upper and lower noise series was not significant.

 Complex relationships between noise conditions, performance, and  ERP  com-
 ponents were also  observed. ERP averages were constructed separately for hit,
 miss, and correct rejection trials. Due to excessive EOG  artifact in some sub-
 jects, only  21  subjects were used  in ERP analyses.  Large  intersubject variance
 m performance further reduced the number of usable subjects in hit and miss
 analysis. To illustrate the  range  of performance, subjects  were rank-ordered
 according to the total  number of misses  and then  divided  into three  equal
 groups.  The average number of misses per series for subjects  in high medium
 and  low performance groups is shown in Table 10-4. Subjects in the high per-
 formance group missed so  few trials that meaningful averages of "miss" data
 could not be constructed.  The converse problem was encountered  to a  lesser
 extent with  'hit" data in the low performance group.

 Hit Analysis

 SuffirTm h?^ ^ three:String sec'uences  which subjects correctly detected.
no    e^L    If r6 ^I3'"6" t0 C°nStmCt ™ra^ for ™*  control and
is Town  n  F    ^n f ^   ^^ ^^ ^°m r6C°rded at the vertex
is shown ,n  Figure 10-5 to illustrate ERP  measurement procedures
                                   detailS °f ^ ««I«i«' Analysis of behavioral
                                 10-18

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     20 -
     16 -
     12-
O
tc
uj   8
to
D
Z

    4-
                                                          O CONTROL

                                                          O U NOISE

                                                          A L NOISE
                             345

                                RUN NUMBER
  Figure 10-4.  Number of misses across time for control, upper and lower noise bands.
  (Reprinted with permission of publisher from  : Benignus, V. A., Otto,  D.  A., and
  Knelson, J. H.  (1975). Effect of low-frequency random  noises on performance of a
  numeric monitoring task. Perceptual and Motor Ski/Is 40, 231-239.
 Table 10-4. MISS RATES DURING CONTROL VS. NOISE CONDITIONS FOR HIGH,
                    MEDIU M & LOW PERFORMANCE GROUP
Performance
level
High (N = 7)
Medium (N = 7)
Low (N = 7)
t 1.96 x SEb
Control
2.2
7.0
26.9
±.2;69
Noise3
3.0
8.4
38.8
t4.68
                                                       Average misses/series
a Upper and lower bands combined.

b95% ponfidence Interval = mean i 1.96 x standard error of mean.
                                       10-19

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   BASELINE
    Figure 10-5. Measurement procedures for components of a typical event-related
    potential waveform. S2 and S3 designated the intervals during which the second
    and third digits of 3-string sequences were displayed. Contingent  negative varia-
    tion  (CNV)  was measured as the  average voltage during the specified interval
    relative to the  pre-S2 baseline.  Baseline-to-peak measurements were made of
    negative  (N110)  and positive (P456) components following  S3. Timebase: one
    sec interstimulus interval (S2 onset - S3 onset).
Three ERP components designated CNV, N110, and P456 were measured. The
CNV was computed as the mean amplitude of a 256 msec epoch preceding the
third digit (S3) relative to a 256 msec baseline epoch preceding the second digit
(S2). N110 and P456 were measured from  the peaks in each individual average
to the same baseline. The convention used to label N110 and P456 components
specifies  the polarity—negative  (N) and  positive  (P)—and the  average peak
latency from stimulus (S3) onset expressed  in msec.

Table 10-5  shows ERP  amplitudes during hit trials in control,  upper,  and
lower band  noise series. Small decrements in  the  amplitude  of each measure
were observed in  noise compared to control conditions.  In order to reduce the
dimensionality of the data (and thereby increase the power of statistical tests),
control  means  were subtracted  from  upper and lower  band means for each
subject. The effect of noise on ERPs was tested  against  the null hypothesis
that none of the differential  ERP scores  differed  from zero. A single-factor
multivariate test with Wilks-Lambda criterion converted  to an F ratio by Rao's
procedure  (Cooley and  Lohnes,  1971) was  used  to reject the  overall  null
hypothesis (Fgji = 6.40, p (0.004).
                                   10-20

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      Table 10-5. HIT TRIALS:  ERP AMPLITUDE (/UV) AS A FUNCTION OF

Control
Upper
Band
Lower
Band
i 1.96 x SEa
CNV
-3.9
-3.8
-3.1
0.43
N110
-5.7
-4.7
-4.4
0.77
P456
13.1
12.0
12.7
0.98
a95% confidence interval = mean ±_ 1.96 x standard error of mean.


Table 10-6 provides the results of post hoc univariate tests for each compo-
nent. N110 amplitude decreased significantly during upper and lower band
noise exposure; CNV  decreased during lower band noise only; and P456 was
not  significantly affected  by noise.  In order to preclude the possiblity that
the N110 measure was confounded by  the slow negative shift preceding S3,
CNV values were subtracted from N110 values of each subject prior to statis-
tical testing.
   Table 10-6. SUMMARY OF UNIVARIATE F TESTS TO EVALUATE EFFECTS
             OF NOISE ON ERP COMPONENTS IN HIT AVERAGES
Null hypothesis
(Lower-Band CNV) = 0
(Upper-Band CNV) = 0
(Lower-Band N1 10) = 0
(Upper-Band N110) = 0
(Lower-Band P456) = 0
(Upper-Band P456) = 0
Mean Sq
11.35
0.41
2.97
10.20
3,17
13.34
F(1,16)
8.53
0.31
4.35
10.93
0.67
1.54
P
(0.010
(0. 585
<0.053
<0.004
<0.426
<0.233
Correct Rejection (CR) Analysis

CR trails were defined as two-strings to which subjects did not respond. The
''no-response" contingency, it should  be noted, provided no  indication  of
whether or not the subjects processed the digits. That is, the absence of  re-
sponse may have reflected either correct identification of a two-string sequence
or a lapse in attention. Twenty-one subjects were used in this analysis. CNV,
IM110, and P456 components were measured in CR averages in the same man-
ner as in hit averages. None of these measures, however, significantly discrimi-
nated between noise and control conditions. The effects on  ERPs of perfor-
mance was also examined. Table  10-7  shows the amplitude of  CNV, N110 and
P456 averaged across control and noise conditions for high, medium, and low
                                 10-21

-------
performance  groups.  Although decrements in all ERP components were ob-
served  in the  low performance group compared to medium and high perfor-
mance subjects, only P456 differences approach significance.
      Table 10-7. CORRECT REJECTION TRIALS: ERP AMPLITUDE (/JV) AS
               A FUNCTION OF MONITORING PERFORMANCE
Performance Level
High (N = 7)
Medium (N = 7)
Low (N = 7)
+.1.96 x SE
CNV
-4.2
-4.1
-32
±_0.63
N1 10
-6.7
-5.8
-5,2
±0.74
P4S6a
12.0
10.5
6.7
±1.22
aF(2,1S) = 3.09S, p (0.07.
Miss Analysis

In view of the ambiguous nature  of two-string events, a direct comparison of
hit and miss trials was undertaken to further assess the effects of performance
on ERPs.  Miss  trials were precisely defined as three-string sequences which
subjects  failed to detect. In previous analyses, averages for each successive
control and  noise  series were  constructed  without saving single trials. This
procedure  could not be followed in this  analysis  since  miss trials had to be
pooled across multiple  series in order to accumulate sufficient trials for aver-
aging.  Even pooling  across  series did  not yield meaningful miss averages in
many high performance subjects.  Therefore, the miss analysis was restricted to
the low performance group.  Hit  and miss trials of these subjects were redigi-
tized and saved individually. Successive averages  of 24  trials were then con-
structed  for  hits  and  misses,  irrespective of control and  noise conditions.

Hit and miss  trials averaged across all conditions  and subjects in the  low per-
formance group are superimposed  in Figure 10-6. Note the diminution  of CNV,
N110, and the  absence  of  P456 in the  average  of miss trials. Mean ampli-
tudes of ERP components in hit and miss averages are shown in Table 10-8. A
multivariate test was  used to evaluate the  null hypothesis of no difference be-
tween hit  and miss ERPs (F-|2,25 =  13.665, p <  0.001).*  Univariate  F-tests
were significant for all  hit-miss ERP comparisons as  indicated  in Table 10-8.
*Data obtained from  left and right parietal electrodes, as well as the vertex, were in-
 cluded in this analysis. Consistent results were observed at all recording sites.
                                   10-22

-------
                                                                HIT

                                                                MISS
                                            IM110
                                                          P456
 Figure 10-6.  Summary waveforms of hit and miss trials averaged across all noise and
 control series of 7 low performance subjects. Note the attenuation of CIMV, N110 and
 absence of P456 during miss-trials. Abbreviations as in Figure 10-5.
   Table 10-8. LOW PERFORMANCE SUBJECTS (N = 7):  ERP AMPLITUDE (|UV)
                    AS A FUNCTION OF HITS VS. MISSES

Hits
M isses
F(1,36)
P<
CNV
-4.3
0.5
7.197
0.011
N1 10
-10.5
- 0.9
26.956
0.001
P456
12.2
1.8
15.243
0.001
Discussion

Results of this study indicate that low-frequency continuous noise at moderate
intensity affects vigilance performance and at least one ERP component. What
is the functional significance of these findings? Interpretation of the behavioral
results is unequivocal:   vigilance  performance is slightly impaired. Extrapola-
tion  from a monotonous numeric-monitoring task in a small isolated chamber
to real-life requires only a minimal leap in imagination.  An individual driving
cross-country  on  a superhighway  may experience analogous conditions  of
monotony and  social  isolation. Engine hum, tires, and  air-conditioning may
                                   10-23

-------
generate  low-frequency noise of comparable intensity. High-speed driving cer-
tainly demands continuous vigilance to visual signals. The consequence of even
a slight impairment in driving vigilance needs no elaboration.

The  effect of  noise on the N110 component  was observed in an analysis of
"hit" trials. The interpretation of the N110-noise relationship  is weakened by
the lack  of effect in a subsequent analysis of "correct rejection" trials. The
ambiguous behavioral significance of CR events, however, renders the  inter-
pretation of associated ERPs difficult.

The  final comparison of "hit" versus "miss" averages  in the low performance
group illustrates the sensitivity of ERPs to  behavioral  contingencies. CNV and
N110 components were sharply reduced, and the P456 component was com-
pletely absent in miss trials.  Are these differences  merely a reflection of  the
presence or absence of an  overt behavioral response (i.e., motor artifacts)?
CR averages rule out this possibility. CNV,  N110, and P456 components were
clearly present in CR averages.

What is  the significance of  the change in  1X1110 amplitude  observed during
exposure  to low-frequency noise? The  neurophysiological mechanism under-
lying the  N110 is  unknown. Cautious inferences  may  be drawn from  the
associated  behavioral  decrement. Convergent decrements in  observed behav-
ioral and electrophysiological measures could  reflect  an  impairment in either
selective or general attention.

Available evidence does  not support a general attentional  or arousal decrement
hypothesis. First, a decrease  in P456 amplitude would  be expected if the effect
were nonspecific. Second, there is little reason to suspect that N110 amplitude
would decrease as a function of arousal level. Picton et al.  (1974) did not ob-
serve any change in auditory ERP components  earlier than 250 msec during
the transition  from wakefulness to  sleep. In fact, the predominant change in
auditory ERPs as subjects fell asleep was a  dramatic increase  in the amplitude
of a negative component peaking at 290 msec. Results of a spectrum analysis
of the present data (Benignus ef al.,  in preparation) also  failed to support the
arousal  hypothesis.  If low-frequency  noise  induced drowsiness, a decrease in
beta and alpha  frequencies  accompanied  by  an increase in  theta and delta
frequencies would be expected. No  difference in the frequency distribution
of spontaneous EEG during control versus noise series was observed.

What evidence can  be  marshalled in  support of a selective attentional  hypo-
thesis? Schechter and Buchsbaum (1973) observed consistent changes in P110-
N140 (peak-to-peak) amplitudes of  auditory and visual  evoked potentials in
a series of tasks with graded  attentional demands. The P100-N140 component
was  smallest in a "distraction" condition. Schwent and Hillyard (1975) provide
convincing evidence of  intramodal selective attentional effects in an auditory
N1 component analagous to N110. They observed  a  marked enhancement of
N1 in "attend" compared to "ignore" conditions.

These studies   indicate that a  polysensory negative  ERP component with  a
latency  of about 100  msec  may reflect selective attentional processes. The
convergent behavioral and ERP results of the present  study suggest, therefore,

                                  10-24

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that low-frequency noise selectively  interferes with the ability of subjects to
"tune in" or concentrate on incoming sensory signals.  That is, low-frequency
noise at moderate intensity may impair selective attention but does not seem
to affect general arousal in a vigilance-like task.

Concluding Comment

Event-related potentials provide an intriguing, noninvasive window on sensori-
motor and cognitive functions in man. There are optimistic signs that research
during the next decade will resolve many of the current mysteries concerning
the neuroanatomical mechanisms and functional significance of ERPs. Consid-
erable progress has been made in the study of the brain stem evoked potentials,
the  P300, and the CNV  through the close alliance of  behavioral and electro-
physiological testing procedures.

Do ERP techniques currently offer a  useful tool to the behavioral toxicologist?
This article has presented  arguments  that ERPs provide a noninvasive index of
neurotoxic effect on CNS function and information processing. The conviction
of this author is  not  shared universally, however, and  a dash  of skepticism is
appropriate to complete the story.

S. S.  Stevens, the late  Harvard psychophysicist eloquently summarized the
negative view (1971, p. 502):

    An electrode on the skull may or may not be able to reflect
    the operation of the sensory transducer in a meaningful way.
    The full answer to that question remains to be discovered... .

    Granting all the difficulties, I would like to believe that
    the knowledge that can be gleaned about sensory systems by
    studying evoked potentials is greater than zero.

H. E. Stokinger, Chairman of the Threshold Limits Committee at the National
Institute  of  Occupational Safety and Health, bluntly challenges the utility of
ERP data in environmental  toxicology: "Changes in  the visually evoked re-
sponse (VER) are presently not sufficiently well understood in over-all physio-
logical terms to serve as basic criteria  for air standards" (1974, p. 20).

Stokinger's position is questionable on theoretical grounds because it assumes
that evidence of physiological effects  requires  knowledge  of causal mech-
anisms. In medicine, drugs known to relieve specific symptoms are frequently
administered without precise  knowledge of physiological mechanisms.  Am-
phetamines, for  instance, may be  used to reduce hyperactivity, although the
mechanism  underlying this  paradoxical effect  is not understood. Behavioral
observations are not admissible by Stokinger's logic either, since the physio-
logical  mechanisms underlying behavioral decrements are  seldom known. The
functional significance of behavioral  observations,  however, is generally self-
evident,  whereas  the  functional significance of ERP changes per se may  be
ambiguous.  In cases where neither the physiological nor the behavioral signifi-
cance of an  ERP change  can be established, Stokinger's position is difficult to
refute.
                                  10-25

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ERP investigators are vigorously amassing evidence to dispel this skepticism.
ERP techniques have been applied with modest success to a variety of clinical
problems in audiometry (Davis, 1976) neurology (Starr and Achor, 1975; Low
et a/.,  1976), psychiatry (Shagass 1972;  Timsett et a/., 1973), and develop-
mental disorders (Karrer, 1976). The evidence reviewed in this chapter suggests
that ERP techniques can provide a useful research tool in  behavioral toxicology
as well.
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Acknowledgement

The low-frequency noise  study  was carried out  in collaboration  with V. A.
Benignus, J.  H. Knelson, and  L. J. Ryan. The technical assistance of J. D.
Prah in data analysis and in preparation of figures and the critical comments
of V. A. Benignus are gratefully acknowledged.
                                U.S. Government Printing Office: 1978—640-903/F7490 Region No. 4


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