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Statistical Learning is Associated with Autism Symptoms and Verbal Abilities in Young Children with Autism

Statistical Learning is Associated with Autism Symptoms and Verbal Abilities in Young Children... Statistical learning-extracting regularities in the environment-may underlie complex social behavior. 124 children, 56 with autism and 68 typically developing, ages 2–8 years, completed a novel visual statistical learning task on an iPad. Averaged together, children with autism demonstrated less learning on the task compared to typically developing children. However, multivariate classification analyses characterized individual behavior patterns, and demonstrated a subset of children with autism had similar learning patterns to typically developing children and that subset of children had less severe autism symptoms. Therefore, statistically averaging data resulted in missing critical heterogeneity. Variability in statistical learning may help to understand differences in autism symptoms across individuals and could be used to tailor and inform treatment decisions. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Autism and Developmental Disorders Springer Journals

Statistical Learning is Associated with Autism Symptoms and Verbal Abilities in Young Children with Autism

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References (54)

Publisher
Springer Journals
Copyright
Copyright © 2018 by Springer Science+Business Media, LLC, part of Springer Nature
Subject
Psychology; Child and School Psychology; Pediatrics; Neurosciences; Public Health
ISSN
0162-3257
eISSN
1573-3432
DOI
10.1007/s10803-018-3625-7
pmid
29855756
Publisher site
See Article on Publisher Site

Abstract

Statistical learning-extracting regularities in the environment-may underlie complex social behavior. 124 children, 56 with autism and 68 typically developing, ages 2–8 years, completed a novel visual statistical learning task on an iPad. Averaged together, children with autism demonstrated less learning on the task compared to typically developing children. However, multivariate classification analyses characterized individual behavior patterns, and demonstrated a subset of children with autism had similar learning patterns to typically developing children and that subset of children had less severe autism symptoms. Therefore, statistically averaging data resulted in missing critical heterogeneity. Variability in statistical learning may help to understand differences in autism symptoms across individuals and could be used to tailor and inform treatment decisions.

Journal

Journal of Autism and Developmental Disorders – Springer Journals

Published: May 31, 2018

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