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

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

BackgroundDynamic 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 ar...

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Bibliographic Details
Main Authors:	Mohammad S. E. Sendi, David H. Salat, Robyn L. Miller, Vince D. Calhoun
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2022-07-01
Series:	Frontiers in Neuroscience
Subjects:	dynamic functional network connectivity kmeans clustering human connectome project big data reproducibility
Online Access:	https://www.frontiersin.org/articles/10.3389/fnins.2022.895637/full

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