Deep multimodal predictome for studying mental disorders.

Rahaman, Md Abdur; Chen, Jiayu; Fu, Zening; Lewis, Noah; Iraji, Armin; van Erp, Theo G M; Calhoun, Vince D

Rahaman, Md Abdur; Chen, Jiayu; Fu, Zening; Lewis, Noah; Iraji, Armin; van Erp, Theo G M; Calhoun, Vince D.

Afiliação

Rahaman MA; Department of Computational Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA.
Chen J; Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, Georgia, USA.
Fu Z; Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, Georgia, USA.
Lewis N; Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, Georgia, USA.
Iraji A; Department of Computational Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia, USA.
van Erp TGM; Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, Georgia, USA.
Calhoun VD; Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, Georgia, USA.

Hum Brain Mapp ; 44(2): 509-522, 2023 02 01.

Article em En | MEDLINE | ID: mdl-36574598

Assuntos

Transtornos Mentais; Esquizofrenia; Humanos; Imageamento por Ressonância Magnética/métodos; Neuroimagem/métodos; Transtornos Mentais/diagnóstico por imagem; Transtornos Mentais/genética; Redes Neurais de Computação; Esquizofrenia/diagnóstico por imagem; Esquizofrenia/genética

Palavras-chave

functional network connectivity; multimodal deep learning; resting-state functional and structural MRI; saliency; schizophrenia classification; single nucleotide polymorphism

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Esquizofrenia / Transtornos Mentais Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Hum Brain Mapp Assunto da revista: CEREBRO Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

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