Fast transient networks in spontaneous human brain activity

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 temp...

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Bibliographic Details
Published in:	eLife 2014-03, Vol.3, p.e01867-e01867
Main Authors:	Baker, Adam P, Brookes, Matthew J, Rezek, Iead A, Smith, Stephen M, Behrens, Timothy, Probert Smith, Penny J, Woolrich, Mark
Format:	Article
Language:	eng
Subjects:	Action Potentials Attention Brain Brain - cytology Brain - physiology Brain Mapping - methods Cognitive ability connectivity Engineering hidden Markov model Humans Kinetics Magnetoencephalography Medical imaging Membrane Potentials microstates Models, Neurological Nerve Net - cytology Nerve Net - physiology Neural networks Neuroscience Neurosciences NMR non-stationary Normal distribution Nuclear magnetic resonance Principal components analysis Rest resting state Signal Processing, Computer-Assisted
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Summary:	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. DOI: http://dx.doi.org/10.7554/eLife.01867.001.
ISSN:	2050-084X 2050-084X