Autism spectrum disorder is a major worldwide public health problem affecting 1 in 88 children and adults in the U.S. Autism is a lifelong debilitating developmental brain disorder characterized by impairments in social interaction and communication. We previously studied adults with autism using MRI diffusion tensor tracking (DTT), and found unique changes in white matter pathways used for recognizing faces and face emotions (critical aspects of social interaction and non-verbal communication). There was a relationship between these brain changes and early-childhood behaviors, suggesting that these brain changes may occur early in childhood, and may represent a lack of hemispheric specialization of face-processing pathways. In the same adults, we also found brain changes in the corpus callosum, a brain structure that allows information to flow between the brain's right and left hemisphere. Some characteristics of face processing and language function may be caused by such changes in the corpus callosum. However, to better understand the neurobiology of autism, it is necessary to test for these brain changes in very young children diagnosed with autism, because the changes in the adult brain could be due to many other factors that accumulate over decades. To determine whether such changes are a fundamental, primary abnormalities in autism that occur early in development, and that are present at the time of diagnosis, we will use DTT to: 1) test for water diffusion changes in the same face processing pathways in toddlers and preschoolers recently diagnosed with autism, 2) test for changes in language pathways, and 3) test for changes in the corpus callosum. The results will be compared to measures of face perception and language processing to determine the functional significance of the brain changes. We plan to study 20 toddlers/preschoolers with autism (2-5 years of age) and 20 individually-matched comparison children, where both groups have been clearly diagnosed and tested as either having autism or having normal development. The results will determine if the brain changes seen in adults with autism are more severe, similar, or less severe in early childhood soon after diagnosis. Our long- term goals are to: 1) provide a better understanding of the underlying biological mechanisms and causes of autism; 2) improve the early diagnosis, screening, risk assessment, and design/planning of early treatments and interventions; and 3) provide safe, non-invasive measures (biomarkers) that can be used to aid diagnosis and guide the search for genetic/immunological/environmental factors in autism.

Public Health Relevance

In a study of young adults with autism using MRI diffusion tensor tracking (DTT), we previously observed changes indicating specific abnormalities in the corpus callosum and in white matter pathways involved in the recognition of faces and facial emotions (critical aspects of social interaction and non-verbal communication often affected in autism). To determine whether such changes are a fundamental abnormality that occurs early in childhood, we will use DTT to: 1) test for these brain changes in toddlers and preschoolers newly diagnosed with autism, 2) test for similar changes in language pathways, and 3) compare the results to tests of face perception and language that specifically probe these brain structures. Our long-term goal is to 1) provide a better understanding of the biological causes of autism, 2) improve the early diagnosis, screening, and treatment of autism, and 3) provide measures (biomarkers) of very early brain changes in autism that can be used to guide the search for genetic, immunological, and environmental factors.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Exploratory/Developmental Grants (R21)
Project #
5R21MH105822-02
Application #
9055760
Study Section
Child Psychopathology and Developmental Disabilities Study Section (CPDD)
Program Officer
Gilotty, Lisa
Project Start
2015-04-17
Project End
2017-02-28
Budget Start
2016-03-12
Budget End
2017-02-28
Support Year
2
Fiscal Year
2016
Total Cost
$186,879
Indirect Cost
$28,322
Name
Washington University
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
068552207
City
Saint Louis
State
MO
Country
United States
Zip Code
63130
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