Explainable Fuzzy Clustering Framework Reveals Divergent Default Mode Network Connectivity Dynamics in Schizophrenia.

Ellis, Charles A; Miller, Robyn L; Calhoun, Vince D

Ellis, Charles A; Miller, Robyn L; Calhoun, Vince D.

Afiliação

Ellis CA; Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia, United States.
Miller RL; Tri-institutional Center for Translational Research in Neuroimaging and Data Science: Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, Georgia, United States.
Calhoun VD; Tri-institutional Center for Translational Research in Neuroimaging and Data Science: Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, Georgia, United States.

bioRxiv ; 2023 Feb 14.

Article em En | MEDLINE | ID: mdl-36824777

Palavras-chave

Dynamical Functional Network Connectivity; Explainable AI; Fuzzy Clustering; default mode network; resting state functional magnetic resonance imaging; schizophrenia

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: BioRxiv Ano de publicação: 2023 Tipo de documento: Article

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PubMed Links

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: BioRxiv Ano de publicação: 2023 Tipo de documento: Article