Genetic and Diagnostic Biomarker Development in ASD Toddlers Using Resting State Functional MRI

Abstract

The primary objective of this project is to develop fMRI-based characterizations of functional connectivity networks during natural sleep as a neurologic biomarker for ASD that is suitable for diagnostic use in young children (ages 1-4). Existing neuroimaging and neuro behavioral resources developed by the principal investigators are being mined for ASD relevant biomarkers. Structural and (constrained) functional meta-analyses of previously published, peer-reviewed neuroimaging studies in ASD have been conducted to inform regions of-interest for further hierarchical network modeling. We have thus identified (1)consistent regions of brain overgrowth /atrophy and (2) consistent functional activation differences with social behaviors between ASD and typically developing (TD) individuals. These regions-of-interest will be extended through additional functional meta-analyses, network models will be created, and these models will be applied to primary ASD data.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2015
Accession Number
AD1016786

Entities

People

  • Peter T. Fox

Organizations

  • University of Texas Health Science Center at San Antonio

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Autism
  • Biological Markers
  • Biomedical Research
  • Diseases And Disorders
  • Distance Learning
  • Employment
  • Machine Learning
  • Magnetic Resonance
  • Magnetic Resonance Imaging
  • Medical Personnel
  • Neuroimaging
  • Nuclear Medicine
  • Predictive Modeling
  • Professional Development
  • Psychology
  • Students
  • Training

Fields of Study

  • Psychology

Readers

  • Child and Adolescent Substance Abuse Science in Autism Spectrum Disorders.
  • Neural Network Machine Learning.
  • Neuroscience

Technology Areas

  • Biotechnology