Explainable fuzzy clustering framework reveals divergent default mode network connectivity dynamics in schizophrenia

IntroductionDynamic functional network connectivity (dFNC) analysis of resting state functional magnetic resonance imaging data has yielded insights into many neurological and neuropsychiatric disorders. A common dFNC analysis approach uses hard clustering methods like k-means clustering to assign s...

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Auteurs principaux:	Charles A. Ellis, Robyn L. Miller, Vince D. Calhoun
Format:	Artigo
Langue:	Inglês
Publié:	Frontiers Media S.A. 2024-02-01
Collection:	Frontiers in Psychiatry
Sujets:	explainable AI fuzzy clustering dynamical functional network connectivity resting state functional magnetic resonance imaging schizophrenia default mode network
Accès en ligne:	https://www.frontiersin.org/articles/10.3389/fpsyt.2024.1165424/full
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