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Autism
From Basic Neuroscience to Treatment
© 2006 by Taylor & Francis Group, LLC
Understanding
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Autism
From Basic Neuroscience to Treatment
Edited by
Steven O. Moldin, Ph.D.
University of Southern California
Los Angeles, California
John L.R. Rubenstein, M.D., Ph.D.
University of California
San Francisco, California
Boca Raton London New York
CRC is an imprint of the Taylor & Francis Group,
an informa business
© 2006 by Taylor & Francis Group, LLC
Understanding
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This book was written by Dr. Steven O. Moldin in his private capacity, outside his professional position as
Director of the Office of Human Genetics and Genomic Resources, and Associate Director, Division of Neu-
roscience & Basic Behavioral Science, National Institute of Mental Health (NIMH), National Institutes of Health
(NIH), Bethesda, Maryland, USA. The views expressed in this book do not necessarily represent the views of
NIMH, NIH, the Department of Health and Human Services nor of the United States Government.
Published in 2006 by
CRC Press
Taylor & Francis Group
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Boca Raton, FL 33487-2742
© 2006 by Taylor & Francis Group, LLC
CRC Press is an imprint of Taylor & Francis Group
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Printed in the United States of America on acid-free paper
10987654321
International Standard Book Number-10: 0-8493-2732-6 (Hardcover)
International Standard Book Number-13: 978-0-8493-2732-2 (Hardcover)
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Library of Congress Cataloging-in-Publication Data
Understanding autism : from basic neuroscience to treatment / edited by Steven O. Moldin, John L.R.
Rubenstein.
p. ; cm.
Includes bibliographical references and index.
ISBN 0-8493-2732-6 (alk. paper)
1. Autism. I. Moldin, Steven O. II. Rubenstein, John L.R., 1955-
[DNLM: 1. Autistic Disorder--diagnosis. 2. Autistic Disorder--genetics. 3. Autistic
Disorder--therapy. WM 203.5 U546 2006]
RC553.A88U53 2006
616.85’882--dc22
2005046674
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Foreword
Autism spectrum disorders exact a serious toll on those affected, on their families,
and, as a result of behavioral problems and significant levels of disability, on society.
Despite that toll, autism has not historically received adequate research attention. The
lack of research reflected a mistaken belief that autism was very rare, and there was
a lack of reliable, broadly accepted diagnostic standards, and until recently, a lack of
scientific tools with which to make progress. As attested to by this volume, all this
has changed. While we still have far to go before we possess a deep understanding of
autism that translates into highly efficacious new treatments, research on autism is
moving at an increasingly rapid pace and yielding promising new results.
What factors have led to the exciting new progress in autism research that is
summarized in this text? An important contribution, without doubt, was the tireless
advocacy of the families of affected individuals, families who refused to accept the
message that there was no hope. Interest in autism was also spurred by the broad
recognition that it represented a spectrum of disorders, which in aggregate were more
common than had been believed and more costly to society ( Chapter 20 ). This new
epidemiological information ( Chapter 2 ) and indeed all of autism research were facili-
tated by improved approaches to diagnosis. Progress in phenotyping and diagnosis
( Chapter 1 ) required not only new scientific efforts, but also a willingness on the part
of many researchers to reach consensus on the assignment of individuals to the autism
spectrum and to different points along the way. All this could not have created the
stirrings of progress without the emergence of new scientific tools and approaches. Some,
like the explosion of new tools for genetics developed entirely independently of autism
research, others like social neuroscience — the investigation of the circuitry and neural
mechanisms that underlie human interaction — developed in part, as a result of the new
interest in autism. Social neuroscience itself depended on the development of increas-
ingly good tools for human neuroimaging and the broad advance made by cognitive
neuroscience in addressing the underpinnings of thought, emotion, and behavior.
It is hard to overstate both the potential significance and also the difficulty of a
genetic analysis of the autism spectrum ( Chapters 3 and 4 ). Gene discovery should
provide tools for neuroscientists trying to understand the neural basis of autism, and
may provide clues to new treatments. Based on twin studies, we know that of all
risk factors, genes make the largest contribution to autism spectrum disorders. As
is well known, twin studies also reveal that genes are not fate — not all monozygotic
twin pairs with an affected member are concordant for an autism spectrum disorder.
Thus, developmental, stochastic, or environmental factors must play a role in con-
verting genetic risk into disease. Nonetheless, genes exert a powerful effect, more
powerful than for schizophrenia or bipolar disorder, for example. Despite the large
effect of genes, the search for genetic risk factors has proved extremely frustrating.
In recent years, it has been hypothesized that autism spectrum disorders —indeed,
all common neuropsychiatric phenotypes — are genetically complex. That is to say
© 2006 by Taylor & Francis Group, LLC
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that while genes are highly significant in aggregate, the genetic component of risk
is comprised of many genetic loci, each making a small contribution that is therefore
difficult to detect. Moreover, different combinations of genetic risk factors might
act in different populations. Without the recent genomic and genetic tools that derived
from the Human Genome Project and its many follow-on projects, it would simply
be impossible to identify risk genes involved in common neuropsychiatric disorders.
Recent maps of human genetic diversity and cost-effective tools for genotyping are
beginning to make gene hunting feasible.
If the challenges posed by genetic complexity were not enough, we are beginning
to realize that the inherited sequence of genes may not be the whole explanation for the
influence of the genome on disease risk ( Chapter 5 ). Epigenetic factors may also play a
role in autism spectrum disorders and other neuropsychiatric disorders. Epigenetic influ-
ences on gene expression reflect the methylation of certain DNA sequences and other
mechanisms that regulate the structure of chromatin and therefore gene expression.
Epigenetic risk factors are not detected by many of the common approaches to neurop-
sychiatric genetics. While it is daunting to confront the complexity of identifying genetic,
epigenetic, developmental, and environmental factors that interact to produce autism, it
is also a hopeful sign that scientists investigating autism are incorporating sophisticated
new approaches and, at the same time, adding to them (Chapter 5).
If genetics represents one of the central “bottom-up” approaches to autism, cog-
nitive and social neuroscience represent critical “top-down” approaches. Several chapters
in this book reflect advances in our analysis of the cognitive ( Chapter 8 ), the emotional
( Chapter 6 ), and the social brain ( Chapter 10 ) that are producing insights into autism.
Beyond deeper understanding, the results that will emerge from these fields should
ultimately have profound practical significance. Cognitive tests combined with neu-
roimaging should make an important contribution to phenotyping for genetics and
other more basic investigations. Right now, the heterogeneity of individuals with
autistic symptoms is a major obstacle to research. In time, these approaches, perhaps
combined with genetics, may lead to more certain clinical diagnoses, perhaps predic-
tive of treatment response. Finally, as in all disease processes, biomarkers, i.e., objec-
tively measurable correlates of disease progression, can play an important role in the
development and monitoring of treatment. Rather than relying on subjective ratings,
clinical trials of both pharmacologic and behavioral treatments, and clinical practice
might one day be able to benefit from objective measures.
As reflected in this volume, developmental neurobiology, the creation of animal
models ( Chapter 12 ), systems neurobiology ( Chapters 7 , 9 , 11 , 13 ), and structural neuro-
imaging ( Chapter 15 ) of the human brain are also making significant contributions to
our understanding of the autism spectrum. As a disorder of the brain that impairs higher
cognitive function, emotion, and behavioral control, autism can only be understood by
bringing many different disciplines together. While we still need a great deal of progress
in each of these areas and above all at their interfaces, the accomplishments of the past
decade, as illustrated in this book, have created a palpable sense of positive movement.
Steven E. Hyman, M.D.
Harvard University
Cambridge, Massachusetts
© 2006 by Taylor & Francis Group, LLC
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