It is essential to identify the early signs of autism spectrum disorders (ASD) in order to improve developmental outcomes. While recent evidence suggests that the assessment of a wide range of skills and behaviors may help identify signs of ASD in the second year of life, the search for behavioral markers of ASD in the first 12 months has proven particularly challenging. This challenge is likely due to the limited behavioral repertoire of infants in the first year of life, thus motivating the search for more sensitive biomarkers. Informed by our own (and others') work on the neural basis and early indicators of ASD, the overarching aim of Project I is to identify reliable biological markers of ASD in infants at ultra-high risk (UHR) for the disorder, i.e. having more than one older sibling with ASD. We are taking an innovative, hypothesis driven, multi-modal approach, which uses eye tracking, pupillometry, electrophysiology (EEG), and magnetic resonance imaging (MRI) to track these infants'development in the first year of life, with focus on social attention, implicit learning, and brain connectivity. Accordingly, we will quantify the development of attention to, and engagement with, socially relevant stimuli, using eye-tracking and pupillometry paradigms capturing dynamic social interactions. We will examine the neural correlates of implicit learning using innovative event-related electrophysiological measures and functional MRI. And we will characterize the development of functional and structural connectivity using EEG and MRI. Overall, we expect to detect altered developmental pathways in these social and cognitive domains and neural processes in UHR infants, as compared to low risk infants (LR), and that the proposed measures will be predictive of an ASD diagnosis at 36 months.

Public Health Relevance

Detecting signs of autism during infancy is essential for improving the quality of life for children with autism and their families as early recognition would allow for timely diagnosis and the implementation of more effective interventions. The main goal of the proposed studies is to contribute to these efforts by identifying reliable biomarkers of autism during the first year of life focusing on infants at ultra high-risk for autism.

Agency
National Institute of Health (NIH)
Institute
Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD)
Type
Specialized Center (P50)
Project #
2P50HD055784-06
Application #
8426256
Study Section
Special Emphasis Panel (ZHD1-DSR-Y (54))
Project Start
2007-08-06
Project End
2017-05-31
Budget Start
2012-09-04
Budget End
2013-05-31
Support Year
6
Fiscal Year
2012
Total Cost
$186,019
Indirect Cost
$65,227
Name
University of California Los Angeles
Department
Type
DUNS #
092530369
City
Los Angeles
State
CA
Country
United States
Zip Code
90095
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