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Measurement of dynamic task related functional networks using MEG

O�Neill, George C.; Tewarie, Prejaas K.; Colclough, Giles L.; Gascoyne, Lauren E.; Hunt, Benjamin A.E.; Morris, Peter G.; Woolrich, Mark W.; Brookes, Matthew J.

Authors

George C. O�Neill

Prejaas K. Tewarie

Giles L. Colclough

Benjamin A.E. Hunt

Peter G. Morris

Mark W. Woolrich



Abstract

The characterisation of dynamic electrophysiological brain networks, which form and dissolve in order to support ongoing cognitive function, is one of the most important goals in neuroscience. Here, we introduce a method for measuring such networks in the human brain using magnetoencephalography (MEG). Previous network analyses look for brain regions that share a common temporal profile of activity. Here distinctly, we exploit the high spatio-temporal resolution of MEG to measure the temporal evolution of connectivity between pairs of parcellated brain regions. We then use an ICA based procedure to identify networks of connections whose temporal dynamics covary. We validate our method using MEG data recorded during a finger movement task, identifying a transient network of connections linking somatosensory and primary motor regions, which modulates during the task. Next, we use our method to image the networks which support cognition during a Sternberg working memory task. We generate a novel neuroscientific picture of cognitive processing, showing the formation and dissolution of multiple networks which relate to semantic processing, pattern recognition and language as well as vision and movement. Our method tracks the dynamics of functional connectivity in the brain on a timescale commensurate to the task they are undertaking.

Citation

O’Neill, G. C., Tewarie, P. K., Colclough, G. L., Gascoyne, L. E., Hunt, B. A., Morris, P. G., …Brookes, M. J. (2017). Measurement of dynamic task related functional networks using MEG. NeuroImage, 146, 667-678. https://doi.org/10.1016/j.neuroimage.2016.08.061

Journal Article Type Article
Acceptance Date Aug 29, 2016
Online Publication Date Sep 14, 2016
Publication Date Feb 1, 2017
Deposit Date Nov 29, 2016
Publicly Available Date Mar 29, 2024
Journal NeuroImage
Print ISSN 1053-8119
Electronic ISSN 1095-9572
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 146
Pages 667-678
DOI https://doi.org/10.1016/j.neuroimage.2016.08.061
Keywords Network, Dynamics, Magnetoencephalography, MEG, Sternberg Task
Public URL https://nottingham-repository.worktribe.com/output/804181
Publisher URL http://www.sciencedirect.com/science/article/pii/S1053811916304530

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