Core C, the Neuroimaging/Neurophysiolgy Core, provides comprehensive services for acquisition, analysis, and integration of brain biomarker data from EEG, MRI, and eye tracking studies. There is a critical need to develop brain biomarkers of autism that are relevant across age ranges and severity level, and that are sensitive for detecting early brain abnormalities, developmental trajectories, and response to treatment. Each of the five Projects in the center will utilize services, resources and expertise provided by Core C to address specific aims and Center themes more generally. The Core will provide four main functions: 1) Subject preparation and desensitization;2) implementing a common set of tasks across projects and modalities;3) data acquisition, and 4) data analysis and integration with projects to address specific aims and facilitate cross-project collaborations. By centralizing these modalities within the same core we can provide a common set of measures, acquired consistently across subjects and methods, allowing us to integrate data in cross- project collaborations. Common tasks will address core themes including language acquisition, implicit (statistic) learning, and social attention. We have access to outstanding infrastructure and equipment resources for acquiring the core measures proposed: these are structural MRI, Diffusion Tensor Imaging (DTI) resting state MRI, functional MRI activation. Resting and activation EEG, eye tracking and pupillometry. The Core provides a team of experts in acquisition and analysis of these data. Further, the core will support several novel approaches to data analysis and integration including graph theoretical approaches to understand brain connectivity networks applied across modalities, and machine learning analytic approaches for predicting outcomes, groups, or phenotypic characteristics. Working in tandem with the statistics unit, the Core personnel will work with project and core investigators to integrate neuroimaging and neurophysiology findings with project-specific data to address both project aims and the ACE central themes.

Public Health Relevance

Core C, the Neuroimaging/Neurophysiology Core, provides acquisition and analysis services for structural and functional MRI, DTI, EEG/ERP, and eye tracking data utilized by all five projects in the Center. Core C provides comprehensive data analysis for these biomarker data including integration with project-specific measures, forming the foundation for cross-project collaborations that are critical to this integrative center.

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 #
8426269
Study Section
Special Emphasis Panel (ZHD1-DSR-Y (54))
Project Start
Project End
Budget Start
2012-09-04
Budget End
2013-05-31
Support Year
6
Fiscal Year
2012
Total Cost
$195,745
Indirect Cost
$68,638
Name
University of California Los Angeles
Department
Type
DUNS #
092530369
City
Los Angeles
State
CA
Country
United States
Zip Code
90095
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

Showing the most recent 10 out of 110 publications