An MEG Investigation Of Neural Biomarkers And Language In Nonverbal Children With Autism Spectrum Disorders

Abstract

Nonverbal individuals with autism spectrum disorders (ASD) are currently underrepresented in neuroimaging studies of ASD, leaving a critical gap in the understanding of language processing in ASD. The proposed project endeavored to address the challenges involved in imaging nonverbal children by: a) assessing function that does not necessitate a verbal response via magnetoencephalography (MEG), b) including multiple pre-imaging training methods to increase participant comfort and cooperation, and c) applying motion correction techniques post-recording to minimize movement Thirty-nine met eligibility criteria and completed the phenotype battery (i.e., standardized assessment of cognition, language and autism symptom measures) and were included one of three study groups: ASD/Minimally Verbal (n = 14);ASD/Verbal (n = 21) and Control/No ASD or DD (n = 4).

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2016
Accession Number
AD1056599

Entities

People

  • Kristina M Legget
  • Susa Hepburn

Organizations

  • University of Colorado Boulder

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Autism
  • Brain
  • Databases
  • Diseases And Disorders
  • Health Services
  • Information Processing
  • Information Science
  • Institutional Review Board
  • Knowledge Management
  • Language
  • Medical Personnel
  • Neuroimaging
  • Psychology
  • Statistical Analysis
  • Surveys
  • Training
  • United States

Fields of Study

  • Psychology

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  • Child and Adolescent Substance Abuse Science in Autism Spectrum Disorders.
  • STEM Education
  • Systems Analysis and Design