Semantic mapping reveals distinct patterns in descriptions of social relations in adults with autism spectrum disorder.

Autism Res

Division of Child and Adolescent Psychiatry, Department of Psychiatry, Columbia University, 1051 Riverside Drive, Unit 66, New York, 10032, New York.

Published: August 2016

Adults with autism spectrum disorder (ASD) may describe other individuals differently compared with typical adults. In this study, we first asked participants to describe closely related individuals such as parents and close friends with 10 positive and 10 negative characteristics. We then used standard natural language processing methods to digitize and visualize these descriptions. The complex patterns of these descriptive sentences exhibited a difference in semantic space between individuals with ASD and control participants. Machine learning algorithms were able to automatically detect and discriminate between these two groups. Furthermore, we showed that these descriptive sentences from adults with ASD exhibited fewer connections as defined by word-word co-occurrences in descriptions, and these connections in words formed a less "small-world" like network. Autism Res 2016, 9: 846-853. © 2015 International Society for Autism Research, Wiley Periodicals, Inc.

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http://dx.doi.org/10.1002/aur.1581DOI Listing

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