Hierarchical organization of spontaneous co-fluctuations in densely sampled individuals using fMRI.
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ABSTRACT: Edge time series decompose functional connectivity into its framewise contributions. Previous studies have focused on characterizing the properties of high-amplitude frames (time points when the global co-fluctuation amplitude takes on its largest value), including their cluster structure. Less is known about middle- and low-amplitude co-fluctuations (peaks in co-fluctuation time series but of lower amplitude). Here, we directly address those questions, using data from two dense-sampling studies: the MyConnectome project and Midnight Scan Club. We develop a hierarchical clustering algorithm to group peak co-fluctuations of all magnitudes into nested and multiscale clusters based on their pairwise concordance. At a coarse scale, we find evidence of three large clusters that, collectively, e
SUBMITTER: Betzel RF
PROVIDER: S-EPMC10473297 | biostudies-literature | 2023
REPOSITORIES: biostudies-literature
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