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Fast transient networks in spontaneous human brain activity

Baker, Adam P.; Brookes, Matthew J.; Rezek, Iead A.; Smith, Stephen M.; Behrens, Timothy; Probert Smith, Penny J.; Woolrich, Mark W.

Authors

Adam P. Baker

Matthew J. Brookes matthew.brookes@nottingham.ac.uk

Iead A. Rezek

Stephen M. Smith

Timothy Behrens

Penny J. Probert Smith

Mark W. Woolrich



Abstract

To provide an effective substrate for cognitive processes, functional brain networks should be able to reorganize and coordinate on a sub-second temporal scale. We used magnetoencephalography recordings of spontaneous activity to characterize whole-brain functional connectivity dynamics at high temporal resolution. Using a novel approach that identifies the points in time at which unique patterns of activity recur, we reveal transient (100–200 ms) brain states with spatial topographies similar to those of well-known resting state networks. By assessing temporal changes in the occurrence of these states, we demonstrate that within-network functional connectivity is underpinned by coordinated neuronal dynamics that fluctuate much more rapidly than has previously been shown. We further evaluate cross-network interactions, and show that anticorrelation between the default mode network and parietal regions of the dorsal attention network is consistent with an inability of the system to transition directly between two transient brain states.

Journal Article Type Article
Publication Date Mar 25, 2014
Journal eLife
Electronic ISSN 2050-084X
Publisher eLife Sciences Publications
Peer Reviewed Peer Reviewed
Volume 3
Article Number e01867
APA6 Citation Baker, A. P., Brookes, M. J., Rezek, I. A., Smith, S. M., Behrens, T., Probert Smith, P. J., & Woolrich, M. W. (2014). Fast transient networks in spontaneous human brain activity. eLife, 3, https://doi.org/10.7554/eLife.01867
DOI https://doi.org/10.7554/eLife.01867
Publisher URL https://elifesciences.org/content/3/e01867
Copyright Statement Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by/4.0

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by/4.0





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