How delays matter in an oscillatory whole-brain spiking-neuron network model for MEG alpha-rhythms at rest

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• dc.contributor.author Nakagawa, Tristan T.ca
• dc.contributor.author Woolrich, Mark W.ca
• dc.contributor.author Luckhoo, Henryca
• dc.contributor.author Joensson, Mortenca
• dc.contributor.author Mohseni, Hamidca
• dc.contributor.author Kringelbach, Morten L.ca
• dc.contributor.author Jirsa, Viktor K.ca
• dc.contributor.author Deco, Gustavoca
• dc.date.accessioned 2015-02-06T08:07:02Z
• dc.date.available 2015-02-06T08:07:02Z
• dc.date.issued 2014ca
• dc.description.abstract In recent years the study of the intrinsic brain dynamics in a relaxed awake state in the absence of any specific/ntask has gained increasing attention, as spontaneous neural activity has been found to be highly structured at a/nlarge scale. This so called resting-state activity has been found to be comprised by nonrandom spatiotemporal/npatterns and fluctuations, and several Resting-State Networks (RSN) have been found in BOLD-fMRI as well as/nin MEG signal power envelope correlations. The underlying anatomical connectivity structure between areas of/nthe brain has been identified as being a key to the observed functional network connectivity, but the mechanisms/nbehind this are still underdetermined. Theoretical large-scale brain models for fMRI data have corroborated the/nimportance of the connectome in shaping network dynamics,while the importance of delays and noise differ between/nstudies and depend on the models' specific dynamics. In the current study, we present a spiking neuron/nnetworkmodel that is able to produce noisy, distributed alpha-oscillations, matching the power peak in the spectrumof/ngroup resting-stateMEG recordings.We studied howwell the model captured the inter-node correlation/nstructure of the alpha-band power envelopes for different delays between brain areas, and found that the model/nperforms best for propagation delays inside the physiological range (5–10 m/s). Delays also shift the transition/nfrom noisy to bursting oscillations to higher global coupling values in the model. Thus, in contrast to the/nasynchronous fMRI state, delays are important to consider in the presence of oscillation.en
• dc.description.sponsorship TTN was supported by the SUR of the DEC of the Catalan Government/nand by the FSE. GD was supported by the ERC Advanced Grant:/nDYSTRUCTURE (n. 295129), by the Spanish Research Project SAF2010-/n16085 and by the CONSOLIDER-INGENIO 2010 Programme CSD2007-/n00012, and the FP7-ICT BrainScales. The research reported herein was/nsupported by the Brain Network Recovery Group through the James S./nMcDonnell Foundation.
• dc.format.mimetype application/pdfca
• dc.identifier.citation Nakagawa TT, Woolrich M, Luckhoo H, Joensson M, Mohseni H, Kringelbach ML, Jirsa V, Deco G. How delays matter in an oscillatory whole-brain spiking-neuron network model for MEG alpha-rhythms at rest. Neuroimage. 2014 Feb 15;87:383-94. DOI: 10.1016/j.neuroimage.2013.11.009ca
• dc.identifier.doi http://dx.doi.org/10.1016/j.neuroimage.2013.11.009
• dc.identifier.issn 1053-8119ca
• dc.identifier.uri http://hdl.handle.net/10230/23098
• dc.language.iso engca
• dc.publisher Elsevierca
• dc.relation.ispartof Neuroimage. 2014 Feb 15;87:383-94
• dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/295129ca
• 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 © 2013 The Authors. Published by Elsevier Inc. Open access under CC BY-NC-SA license.ca
• dc.rights.accessRights info:eu-repo/semantics/openAccessca
• dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/3.0/
• dc.subject.keyword Resting-state model
• dc.subject.keyword MEG
• dc.subject.keyword Delays
• dc.subject.keyword Spontaneous alpha
• dc.subject.keyword Alpha-oscillations
• dc.subject.keyword SFA
• dc.subject.keyword Spike-frequency adaptation
• dc.title How delays matter in an oscillatory whole-brain spiking-neuron network model for MEG alpha-rhythms at restca
• dc.type info:eu-repo/semantics/articleca
• dc.type.version info:eu-repo/semantics/publishedVersionca