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 neurobehavioral 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
Nov 01, 2017
Accession Number
AD1054048

Entities

People

  • Peter T. Fox

Organizations

  • University of Texas Health Science Center at San Antonio

Tags

DTIC Thesaurus Topics

  • Brain
  • Cognition
  • Cognitive Science
  • Data Mining
  • Health Services
  • Information Science
  • Medical Personnel
  • Network Science
  • Neurodegeneration
  • Neuroimaging
  • Neurosciences
  • Psychiatry
  • Psychology

Fields of Study

  • Psychology

Readers

  • Child and Adolescent Substance Abuse Science in Autism Spectrum Disorders.
  • Neural Network Machine Learning.
  • Psychological Intervention/Treatment for Stress, Anxiety, PTSD, and Related Emotional and Cognitive Health Symptoms.

Technology Areas

  • Biotechnology