Novel intrinsic ignition method measuring local-global integration characterizes wakefulness and deep sleep

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• dc.contributor.author Deco, Gustavoca
• dc.contributor.author Tagliazucchi, Enzoca
• dc.contributor.author Laufs, Helmutca
• dc.contributor.author Sanjuán, Anaca
• dc.contributor.author Kringelbach, Morten L.ca
• dc.date.accessioned 2017-12-05T12:08:23Z
• dc.date.issued 2017
• dc.description.abstract A precise definition of a brain state has proven elusive. Here, we introduce the novel local-global concept of intrinsic ignition characterizing the dynamical complexity of different brain states. Naturally occurring intrinsic ignition events reflect the capability of a given brain area to propagate neuronal activity to other regions, giving rise to different levels of integration. The ignitory capability of brain regions is computed by the elicited level of integration for each intrinsic ignition event in each brain region, averaged over all events. This intrinsic ignition method is shown to clearly distinguish human neuroimaging data of two fundamental brain states (wakefulness and deep sleep). Importantly, whole-brain computational modelling of this data shows that at the optimal working point is found where there is maximal variability of the intrinsic ignition across brain regions. Thus, combining whole brain models with intrinsic ignition can provide novel insights into underlying mechanisms of brain states.en
• dc.description.sponsorship G.D. was supported by the European Research Council (ERC) Advanced Grant DYSTRUCTURE (295129) and by the Spanish Research Project PSI2013-42091-P. A.S. was supported by the Spanish Ministry of Economy and Competitiveness Grant FPDI2013-17045. M.L.K. was supported by the ERC Consolidator Grant CAREGIVING (615539) and the Center for Music in the Brain, funded by the Danish National Research Foundation Grant DNRF117.
• dc.format.mimetype application/pdfca
• dc.identifier.citation Deco G, Tagliazucchi E, Laufs H, Sanjuán A, Kringelbach ML. Novel intrinsic ignition method measuring local-global integration characterizes wakefulness and deep sleep. eNeuro. 2017;4(5): [12 p.].
• dc.identifier.issn 2373-2822
• dc.identifier.uri http://hdl.handle.net/10230/33436
• dc.language.iso eng
• dc.publisher Society for Neuroscienceca
• dc.relation.ispartof eNeuro. 2017;4(5): [12 p.].
• dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/295129
• dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/615539
• dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/PSI2013-42091-P
• dc.rights © The Authors. Published by the Society for Neuroscience http://www.eneuro.org/content/4/5/ENEURO.0106-17.2017. The work is published under a Creative Commons Attribution 4.0 International (CC BY 4.0) license, as described at https://creativecommons.org/licenses/by/4.0/
• dc.rights.accessRights info:eu-repo/semantics/embargoedAccess
• dc.rights.uri http://creativecommons.org/licenses/by/4.0/
• dc.subject.keyword Whole-brain modelingen
• dc.subject.keyword Neuroimagingen
• dc.subject.keyword Ignitionen
• dc.subject.keyword Metastabilityen
• dc.subject.keyword Integrationen
• dc.title Novel intrinsic ignition method measuring local-global integration characterizes wakefulness and deep sleepca
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion