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Brain Responses to Words in 2-Year-Olds with Autism Predict Developmental Outcomes at Age 6

Overview of attention for article published in PLOS ONE, May 2013
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Title
Brain Responses to Words in 2-Year-Olds with Autism Predict Developmental Outcomes at Age 6
Published in
PLOS ONE, May 2013
DOI 10.1371/journal.pone.0064967
Pubmed ID
Authors

Patricia K. Kuhl, Sharon Coffey-Corina, Denise Padden, Jeffrey Munson, Annette Estes, Geraldine Dawson

Abstract

Autism Spectrum Disorder (ASD) is a developmental disability that affects social behavior and language acquisition. ASD exhibits great variability in outcomes, with some individuals remaining nonverbal and others exhibiting average or above average function. Cognitive ability contributes to heterogeneity in autism and serves as a modest predictor of later function. We show that a brain measure (event-related potentials, ERPs) of word processing in children with ASD, assessed at the age of 2 years (Nā€Š=ā€Š24), is a broad and robust predictor of receptive language, cognitive ability, and adaptive behavior at ages 4 and 6 years, regardless of the form of intensive clinical treatment during the intervening years. The predictive strength of this brain measure increases over time, and exceeds the predictive strength of a measure of cognitive ability, used here for comparison. These findings have theoretical implications and may eventually lead to neural measures that allow early prediction of developmental outcomes as well as more individually tailored clinical interventions, with the potential for greater effectiveness in treating children with ASD.

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Geographical breakdown

Country Count As %
United States 4 2%
Netherlands 1 <1%
Israel 1 <1%
Chile 1 <1%
China 1 <1%
Canada 1 <1%
Unknown 215 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 49 22%
Researcher 29 13%
Professor 27 12%
Student > Master 23 10%
Student > Doctoral Student 18 8%
Other 39 17%
Unknown 39 17%
Readers by discipline Count As %
Psychology 80 36%
Neuroscience 23 10%
Linguistics 16 7%
Medicine and Dentistry 15 7%
Agricultural and Biological Sciences 14 6%
Other 24 11%
Unknown 52 23%