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Identifying Autism from Neural Representations of Social Interactions: Neurocognitive Markers of Autism

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  • Marcel Adam Just
  • Vladimir L Cherkassky
  • Augusto Buchweitz
  • Timothy A Keller
  • Tom M Mitchell

Abstract

Autism is a psychiatric/neurological condition in which alterations in social interaction (among other symptoms) are diagnosed by behavioral psychiatric methods. The main goal of this study was to determine how the neural representations and meanings of social concepts (such as to insult) are altered in autism. A second goal was to determine whether these alterations can serve as neurocognitive markers of autism. The approach is based on previous advances in fMRI analysis methods that permit (a) the identification of a concept, such as the thought of a physical object, from its fMRI pattern, and (b) the ability to assess the semantic content of a concept from its fMRI pattern. These factor analysis and machine learning methods were applied to the fMRI activation patterns of 17 adults with high-functioning autism and matched controls, scanned while thinking about 16 social interactions. One prominent neural representation factor that emerged (manifested mainly in posterior midline regions) was related to self-representation, but this factor was present only for the control participants, and was near-absent in the autism group. Moreover, machine learning algorithms classified individuals as autistic or control with 97% accuracy from their fMRI neurocognitive markers. The findings suggest that psychiatric alterations of thought can begin to be biologically understood by assessing the form and content of the altered thought’s underlying brain activation patterns.

Suggested Citation

  • Marcel Adam Just & Vladimir L Cherkassky & Augusto Buchweitz & Timothy A Keller & Tom M Mitchell, 2014. "Identifying Autism from Neural Representations of Social Interactions: Neurocognitive Markers of Autism," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-22, December.
    • Handle: RePEc:plo:pone00:0113879
    DOI: 10.1371/journal.pone.0113879
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    References listed on IDEAS

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    1. Karim S Kassam & Amanda R Markey & Vladimir L Cherkassky & George Loewenstein & Marcel Adam Just, 2013. "Identifying Emotions on the Basis of Neural Activation," PLOS ONE, Public Library of Science, vol. 8(6), pages 1-12, June.
    2. Marcel Adam Just & Vladimir L Cherkassky & Sandesh Aryal & Tom M Mitchell, 2010. "A Neurosemantic Theory of Concrete Noun Representation Based on the Underlying Brain Codes," PLOS ONE, Public Library of Science, vol. 5(1), pages 1-15, January.
    3. Svetlana V Shinkareva & Robert A Mason & Vicente L Malave & Wei Wang & Tom M Mitchell & Marcel Adam Just, 2008. "Using fMRI Brain Activation to Identify Cognitive States Associated with Perception of Tools and Dwellings," PLOS ONE, Public Library of Science, vol. 3(1), pages 1-9, January.
    4. Kendrick N. Kay & Thomas Naselaris & Ryan J. Prenger & Jack L. Gallant, 2008. "Identifying natural images from human brain activity," Nature, Nature, vol. 452(7185), pages 352-355, March.
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