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Fast transient networks in spontaneous human brain activity

eLife · 2014 · Vol. 3 · pp. e01867–e01867
Adam BakerMatthew J. BrookesIead RezekStephen M. SmithTimothy E.J. BehrensPenny J Probert SmithMark 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. DOI: http://dx.doi.org/10.7554/eLife.01867.001.

Functional Brain Connectivity StudiesNeural dynamics and brain functionEEG and Brain-Computer InterfacesMagnetoencephalographyDefault mode networkTask-positive networkNeuroscienceNetwork dynamicsDynamic functional connectivityComputer scienceHuman brainTransient (computer programming)Nerve net

MeSH terms

Action PotentialsBrainBrain MappingHumansKineticsMembrane PotentialsModels, NeurologicalNerve NetRestSignal Processing, Computer-AssistedMagnetoencephalography

Funding

  • Wellcome
  • Wellcome Trust
  • National Institute for Health and Care Research
  • Leverhulme Trust
  • Research Councils UK
  • University of Oxford
  • National Institutes of Health
  • Medical Research Council
  • Engineering and Physical Sciences Research Council
  • NIHR Oxford Biomedical Research Centre
Citations
625
FWCI
17.22
field-weighted impact
References
67
Percentile
100%
vs. same field & year
Citations per year
References
The human brain is intrinsically organized into dynamic, anticorrelated functional networks
Proceedings of the National Academy of Sciences · 2005 · 8,772 citations
Basic mathematical and electromagnetic concepts of the biomagnetic inverse problem
Physics in Medicine and Biology · 1987 · 1,855 citations
Consistent resting-state networks across healthy subjects
Proceedings of the National Academy of Sciences · 2006 · 4,381 citations
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