Functional Connectivities Are More Informative Than Anatomical Variables in Diagnostic Classification of Autism

Machine learning techniques have been implemented to reveal brain features that distinguish people with autism spectrum disorders (ASDs) from typically developing (TD) peers. However, it remains unknown whether different neuroimaging modalities are equally informative for diagnostic classification....

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Detalhes bibliográficos
Publicado no:Brain Connect
Main Authors: Eill, Aina, Jahedi, Afrooz, Gao, Yangfeifei, Kohli, Jiwandeep S., Fong, Christopher H., Solders, Seraphina, Carper, Ruth A., Valafar, Faramarz, Bailey, Barbara A., Müller, Ralph-Axel
Formato: Artigo
Idioma:Inglês
Publicado em: Mary Ann Liebert, Inc., publishers 2019
Assuntos:
Original Articles
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6798803/
https://ncbi.nlm.nih.gov/pubmed/31328535
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1089/brain.2019.0689
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