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Two-step clustering-based pipeline for big dynamic functional network connectivity data

BACKGROUND: Dynamic functional network connectivity (dFNC) estimated from resting-state functional magnetic imaging (rs-fMRI) studies the temporally varying functional integration between brain networks. In a conventional dFNC pipeline, a clustering stage to summarize the connectivity patterns that...

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Detalles Bibliográficos
Autores principales:	Sendi, Mohammad S. E., Salat, David H., Miller, Robyn L., Calhoun, Vince D.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9358255/ https://www.ncbi.nlm.nih.gov/pubmed/35958983 http://dx.doi.org/10.3389/fnins.2022.895637

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