Resting-State Temporal Synchronization Networks Emerge from Connectivity Topology and Heterogeneity
Adrián Ponce-Alvarez,
Gustavo Deco,
Patric Hagmann,
Gian Luca Romani,
Dante Mantini and
Maurizio Corbetta
PLOS Computational Biology, 2015, vol. 11, issue 2, 1-23
Abstract:
Spatial patterns of coherent activity across different brain areas have been identified during the resting-state fluctuations of the brain. However, recent studies indicate that resting-state activity is not stationary, but shows complex temporal dynamics. We were interested in the spatiotemporal dynamics of the phase interactions among resting-state fMRI BOLD signals from human subjects. We found that the global phase synchrony of the BOLD signals evolves on a characteristic ultra-slow (
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pcbi00:1004100
DOI: 10.1371/journal.pcbi.1004100
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