Implicit Learning Abilities Predict Treatment Response in Autism Spectrum Disorders

Abstract

Intensive early behavioral interventions are the most effective treatment for Autism Spectrum Disorder (ASD), but almost half of the children do not make significant gains. Implicit learning skills are integral to behavioral interventions in ASD. Yet there is inconsistency in the literature as to whether individuals with ASD have difficulties with such learning. In this pilot award, we use multiple levels of inquiry to address implicit learning abilities in a heterogeneous sample of young children with ASD. Preliminary data from the learning task suggests that when data is averaged together from children with ASD and compared to typically developing (TD) children, it appears that children with ASD are not able to learn implicitly. However, while the sample is still small, we have observed individual differences in the expression of learning, with some but not all children with ASD learning on the task. Determining individual variability for learning in ASD is consistent with the primary goal of the project and it is the hope that this information can be used in the future to tailor behavioral interventions for children with ASD.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2015
Accession Number
ADA624504

Entities

People

  • Catherine Lord
  • Rebecca A Jones

Organizations

  • Cornell University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Autism
  • Biomedical Research
  • Bulimia Nervosa
  • Diseases And Disorders
  • Integrals
  • Intervention
  • Learning
  • Literature
  • Magnetic Resonance
  • Magnetic Resonance Imaging
  • Medical Personnel
  • New York
  • Pilot Studies
  • Professional Development
  • Reaction Time
  • Spectra
  • Universities

Fields of Study

  • Psychology

Readers

  • Artificial Intelligence
  • Child and Adolescent Substance Abuse Science in Autism Spectrum Disorders.
  • Regression Analysis.