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.
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.
|Di Martino, Adriana; O'Connor, David; Chen, Bosi et al. (2017) Enhancing studies of the connectome in autism using the autism brain imaging data exchange II. Sci Data 4:170010|
|Schoch, Kelly; Meng, Linyan; Szelinger, Szabolcs et al. (2017) A Recurrent De Novo Variant in NACC1 Causes a Syndrome Characterized by Infantile Epilepsy, Cataracts, and Profound Developmental Delay. Am J Hum Genet 100:343-351|
|Green, Shulamite A; Hernandez, Leanna; Bookheimer, Susan Y et al. (2017) Reduced modulation of thalamocortical connectivity during exposure to sensory stimuli in ASD. Autism Res 10:801-809|
|Dickinson, Abigail; DiStefano, Charlotte; Senturk, Damla et al. (2017) Peak alpha frequency is a neural marker of cognitive function across the autism spectrum. Eur J Neurosci :|
|Varcin, Kandice J; Jeste, Shafali S (2017) The emergence of autism spectrum disorder: insights gained from studies of brain and behaviour in high-risk infants. Curr Opin Psychiatry 30:85-91|
|DiStefano, Charlotte; Gulsrud, Amanda; Huberty, Scott et al. (2016) Identification of a distinct developmental and behavioral profile in children with Dup15q syndrome. J Neurodev Disord 8:19|
|Tsang, Tawny; Gillespie-Lynch, Kristen; Hutman, Ted (2016) Theory of Mind Indexes the Broader Autism Phenotype in Siblings of Children with Autism at School Age. Autism Res Treat 2016:6309189|
|Harrop, Clare; Gulsrud, Amanda; Shih, Wendy et al. (2016) Characterizing caregiver responses to restricted and repetitive behaviors in toddlers with autism spectrum disorder. Autism 20:330-42|
|Miller, Meghan; Iosif, Ana-Maria; Young, Gregory S et al. (2016) School-age outcomes of infants at risk for autism spectrum disorder. Autism Res 9:632-42|
|Gulsrud, Amanda C; Hellemann, Gerhard; Shire, Stephanie et al. (2016) Isolating active ingredients in a parent-mediated social communication intervention for toddlers with autism spectrum disorder. J Child Psychol Psychiatry 57:606-13|
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