dc.contributor.author |
Cabral, Joana R. B. |
dc.contributor.author |
Luckhoo, Henry |
dc.contributor.author |
Woolrich, Mark |
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 |
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.citation |
1053-8119 |
dc.identifier.citation |
http://dx.doi.org/10.1016/j.neuroimage.2013.11.047 |
dc.identifier.uri |
http://hdl.handle.net/10230/23081 |
dc.format |
13 p. |
dc.format |
application/pdf |
dc.language.iso |
eng |
dc.publisher |
Elsevier |
dc.relation |
Neuroimage. 2014 Apr;90:423-35 |
dc.relation |
info:eu-repo/grantAgreement/EC/FP7/295129 |
dc.relation |
info:eu-repo/grantAgreement/EC/FP7/269921 |
dc.relation |
info:eu-repo/grantAgreement/ES/3PN/SAF2010-16085 |
dc.relation |
info:eu-repo/grantAgreement/ES/2PN/CSD2007-00012 |
dc.rights |
© 2013 The Authors. Published by Elsevier Inc. Open access under CC-BY-NC-ND License |
dc.rights |
info:eu-repo/semantics/openAccess |
dc.rights |
http://creativecommons.org/licenses/by-nc-nd/3.0/ |
dc.subject |
Resting state |
dc.subject |
MEG |
dc.subject |
Oscillations |
dc.subject |
Network |
dc.subject |
Kuramoto |
dc.subject |
Modeling |
dc.subject |
Structural connectivity |
dc.subject |
Functional connectivity |
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.type |
info:eu-repo/semantics/publishedVersion |
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.abstract |
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. |