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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https://www.frontiersin.org/articles/10.3389/fnins.2022.895637/full

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