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Exploring mechanisms of spontaneous functional connectivity in MEG:/nHow delayed network interactions lead to structured amplitude/nenvelopes of band-pass filtered oscillations

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dc.contributor.author Cabral, Joana
dc.contributor.author Luckhoo, Henry
dc.contributor.author Woolrich, Mark W.
dc.contributor.author Joensson, Morten
dc.contributor.author Mohseni, Hamid
dc.contributor.author Baker, Adam
dc.contributor.author Kringelbach, Morten L.
dc.contributor.author Deco, Gustavo
dc.date.accessioned 2015-01-29T08:21:06Z
dc.date.available 2015-01-29T08:21:06Z
dc.date.issued 2014
dc.identifier.citation Cabral J, Luckhoo H, Woolrich M, Joensson M, Mohseni H, Baker A, Kringelbach ML, Deco G. Exploring mechanisms of spontaneous functional connectivity in MEG: How delayed network interactions lead to structured amplitude envelopes of band-pass filtered oscillations. Neuroimage. 2014 Apr;90:423-35. DOI 10.1016/j.neuroimage.2013.11.047
dc.identifier.issn 1053-8119
dc.identifier.uri http://hdl.handle.net/10230/23081
dc.description.abstract Spontaneous (or resting-state) brain activity has attracted a growing body of neuroimaging research over the last/ndecades.Whole-brain networkmodels have proved helpful to investigate the source of slow(b0.1 Hz) correlated/nhemodynamic fluctuations revealed in fMRI during rest. However, the mechanisms mediating resting-state/nlong-distance correlations and the relationship with the faster neural activity remain unclear. Novel insights/ncoming from MEG studies have shown that the amplitude envelopes of alpha- and beta-frequency oscillations/n(8–30 Hz) display similar correlation patterns as the fMRI signals./nIn thiswork, we combine experimental and theoreticalwork to investigate the mechanisms of spontaneousMEG/nfunctional connectivity. Using a simple model of coupled oscillators adapted to incorporate realisticwhole-brain/nconnectivity and conduction delays, we explore how slow and structured amplitude envelopes of band-pass/nfiltered signals – fairly reproducing MEG data collected from 10 healthy subjects at rest – are generated spontaneously/nin the space-time structure of the brain network./nOur simulation results show that the large-scale neuroanatomical connectivity provides an optimal network/nstructure to support a regimewith metastable synchronization. In this regime, different subsystems may temporarily/nsynchronize at reduced collective frequencies (falling in the 8–30 Hz range due to the delays) while the/nglobal system never fully synchronizes. This mechanism modulates the frequency of the oscillators on a slow/ntime-scale (b0.1 Hz) leading to structured amplitude fluctuations of band-pass filtered signals. Taken overall,/nour results reveal that the structured amplitude envelope fluctuations observed in resting-state MEG data may/noriginate from spontaneous synchronization mechanisms naturally occurring in the space-time structure of/nthe brain.
dc.description.sponsorship The research reported herein was supported by the ERC Advanced/nGrant: DYSTRUCTURE (n. 295129), by the FET Flagship Human Brain/nProject, by the Spanish Research Project SAF2010-16085, by the/nCONSOLIDER-INGENIO 2010 CSD2007-00012, by the BrainNRG through/nthe James S. McDonnell Foundation, by the FP7-ICT BrainScales, by the/nRCUK Digital Economy – Centre for Doctoral Training in Healthcare/nInnovation, by theMINDLab Investment Capital for University Research/nFund and by the TrygFonden Charitable Foundation.
dc.format.extent 13 p.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Elsevier
dc.relation.ispartof Neuroimage. 2014 Apr;90:423-35
dc.rights © 2013 The Authors. Published by Elsevier Inc. Open access under CC-BY-NC-ND License
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/
dc.title Exploring mechanisms of spontaneous functional connectivity in MEG:/nHow delayed network interactions lead to structured amplitude/nenvelopes of band-pass filtered oscillations
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.1016/j.neuroimage.2013.11.047
dc.subject.keyword Resting state
dc.subject.keyword MEG
dc.subject.keyword Oscillations
dc.subject.keyword Network
dc.subject.keyword Kuramoto
dc.subject.keyword Modeling
dc.subject.keyword Structural connectivity
dc.subject.keyword Functional connectivity
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/295129
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/269921
dc.relation.projectID info:eu-repo/grantAgreement/ES/3PN/SAF2010-16085
dc.relation.projectID info:eu-repo/grantAgreement/ES/2PN/CSD2007-00012
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion


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