Fast transient networks in spontaneous human brain activity

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 Vol. 3; p. e01867
Main Authors: Baker, Adam P, Brookes, Matthew J, Rezek, Iead A, Smith, Stephen M, Behrens, Timothy, Probert Smith, Penny J, Woolrich, Mark
Format: Journal Article
Language:English
Published: England eLife Sciences Publications Ltd 25-03-2014
eLife Sciences Publications, Ltd
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
non-stationary
resting state
microstates
connectivity
hidden Markov model
magnetoencephalography
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Description
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.
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The Schlumberger Gould Research Center, Cambridge, United Kingdom.
ISSN:2050-084X
2050-084X
DOI:10.7554/elife.01867