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

Internet

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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