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

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...

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Autores: Nakagawa, Tristan T., Woolrich, Mark W., Luckhoo, Henry, Joensson, Morten, Mohseni, Hamid, Kringelbach, Morten L., Jirsa, Viktor K., Deco, Gustavo
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2014
País:España
Institución:Universitat Pompeu Fabra
Repositorio:Repositorio Digital de la UPF
OAI Identifier:oai:repositori.upf.edu:10230/23098
Acceso en línea:http://hdl.handle.net/10230/23098
http://dx.doi.org/10.1016/j.neuroimage.2013.11.009
Access Level:acceso abierto
Palabra clave:Resting-state model
MEG
Delays
Spontaneous alpha
Alpha-oscillations
SFA
Spike-frequency adaptation
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spelling How delays matter in an oscillatory whole-brain spiking-neuron network model for MEG alpha-rhythms at restNakagawa, Tristan T.Woolrich, Mark W.Luckhoo, HenryJoensson, MortenMohseni, HamidKringelbach, Morten L.Jirsa, Viktor K.Deco, GustavoResting-state modelMEGDelaysSpontaneous alphaAlpha-oscillationsSFASpike-frequency adaptationIn 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.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.Elsevier201520152014info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/23098http://dx.doi.org/10.1016/j.neuroimage.2013.11.009reponame:Repositorio Digital de la UPFinstname:Universitat Pompeu FabraInglésNeuroimage. 2014 Feb 15;87:383-94info:eu-repo/grantAgreement/EC/FP7/295129info:eu-repo/grantAgreement/EC/FP7/269921info:eu-repo/grantAgreement/ES/3PN/SAF2010-16085info:eu-repo/grantAgreement/ES/2PN/CSD2007-00012© 2013 The Authors. Published by Elsevier Inc. Open access under CC BY-NC-SA license.http://creativecommons.org/licenses/by-nc-sa/3.0/info:eu-repo/semantics/openAccessoai:repositori.upf.edu:10230/230982026-06-12T07:21:37Z
dc.title.none.fl_str_mv How delays matter in an oscillatory whole-brain spiking-neuron network model for MEG alpha-rhythms at rest
title How delays matter in an oscillatory whole-brain spiking-neuron network model for MEG alpha-rhythms at rest
spellingShingle How delays matter in an oscillatory whole-brain spiking-neuron network model for MEG alpha-rhythms at rest
Nakagawa, Tristan T.
Resting-state model
MEG
Delays
Spontaneous alpha
Alpha-oscillations
SFA
Spike-frequency adaptation
title_short How delays matter in an oscillatory whole-brain spiking-neuron network model for MEG alpha-rhythms at rest
title_full How delays matter in an oscillatory whole-brain spiking-neuron network model for MEG alpha-rhythms at rest
title_fullStr How delays matter in an oscillatory whole-brain spiking-neuron network model for MEG alpha-rhythms at rest
title_full_unstemmed How delays matter in an oscillatory whole-brain spiking-neuron network model for MEG alpha-rhythms at rest
title_sort How delays matter in an oscillatory whole-brain spiking-neuron network model for MEG alpha-rhythms at rest
dc.creator.none.fl_str_mv Nakagawa, Tristan T.
Woolrich, Mark W.
Luckhoo, Henry
Joensson, Morten
Mohseni, Hamid
Kringelbach, Morten L.
Jirsa, Viktor K.
Deco, Gustavo
author Nakagawa, Tristan T.
author_facet Nakagawa, Tristan T.
Woolrich, Mark W.
Luckhoo, Henry
Joensson, Morten
Mohseni, Hamid
Kringelbach, Morten L.
Jirsa, Viktor K.
Deco, Gustavo
author_role author
author2 Woolrich, Mark W.
Luckhoo, Henry
Joensson, Morten
Mohseni, Hamid
Kringelbach, Morten L.
Jirsa, Viktor K.
Deco, Gustavo
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Resting-state model
MEG
Delays
Spontaneous alpha
Alpha-oscillations
SFA
Spike-frequency adaptation
topic Resting-state model
MEG
Delays
Spontaneous alpha
Alpha-oscillations
SFA
Spike-frequency adaptation
description 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.
publishDate 2014
dc.date.none.fl_str_mv 2014
2015
2015
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/23098
http://dx.doi.org/10.1016/j.neuroimage.2013.11.009
url http://hdl.handle.net/10230/23098
http://dx.doi.org/10.1016/j.neuroimage.2013.11.009
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Neuroimage. 2014 Feb 15;87:383-94
info:eu-repo/grantAgreement/EC/FP7/295129
info:eu-repo/grantAgreement/EC/FP7/269921
info:eu-repo/grantAgreement/ES/3PN/SAF2010-16085
info:eu-repo/grantAgreement/ES/2PN/CSD2007-00012
dc.rights.none.fl_str_mv © 2013 The Authors. Published by Elsevier Inc. Open access under CC BY-NC-SA license.
http://creativecommons.org/licenses/by-nc-sa/3.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv © 2013 The Authors. Published by Elsevier Inc. Open access under CC BY-NC-SA license.
http://creativecommons.org/licenses/by-nc-sa/3.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositorio Digital de la UPF
instname:Universitat Pompeu Fabra
instname_str Universitat Pompeu Fabra
reponame_str Repositorio Digital de la UPF
collection Repositorio Digital de la UPF
repository.name.fl_str_mv
repository.mail.fl_str_mv
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