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dc.contributor.authorWens, Vincent
dc.contributor.authorBourguignon, Mathieu
dc.contributor.authorVander Ghinst, Marc
dc.contributor.authorMary, Alison
dc.contributor.authorMarty, Brice
dc.contributor.authorCoquelet, Nicolas
dc.contributor.authorNaeije, Gilles
dc.contributor.authorPeigneux, Philippe
dc.contributor.authorGoldman, Serge
dc.contributor.authorDe Tiège, Xavier
dc.date.accessioned2019-07-10T07:03:34Z
dc.date.available2019-07-10T07:03:34Z
dc.date.issued2019
dc.identifier.citationVincent Wens, Mathieu Bourguignon, Marc Vander Ghinst, Alison Mary, Brice Marty, Nicolas Coquelet, Gilles Naeije, Philippe Peigneux, Serge Goldman, Xavier De Tiège, Synchrony, metastability, dynamic integration, and competition in the spontaneous functional connectivity of the human brain, NeuroImage, Volume 199, 2019, Pages 313-324, ISSN 1053-8119, https://doi.org/10.1016/j.neuroimage.2019.05.081.es_ES
dc.identifier.issn1053-8119
dc.identifier.urihttp://hdl.handle.net/10810/34628
dc.descriptionAvailable online 3 June 2019.es_ES
dc.description.abstractThe human brain is functionally organized into large-scale neural networks that are dynamically interconnected. Multiple short-lived states of resting-state functional connectivity (rsFC) identified transiently synchronized networks and cross-network integration. However, little is known about the way brain couplings covary as rsFC states wax and wane. In this magnetoencephalography study, we explore the synchronization structure among the spontaneous interactions of well-known resting-state networks (RSNs). To do so, we extracted modes of dynamic coupling that reflect rsFC synchrony and analyzed their spatio-temporal features. These modes identified transient, sporadic rsFC changes characterized by the widespread integration of RSNs across the brain, most prominently in the β band. This is in line with the metastable rsFC state model of resting-state dynamics, wherein our modes fit as state transition processes. Furthermore, the default-mode network (DMN) stood out as being structured into competitive cross-network couplings with widespread DMN-RSN interactions, especially among the β-band modes. These results substantiate the theory that the DMN is a core network enabling dynamic global brain integration in the β band.es_ES
dc.description.sponsorshipThis work was supported by the Action de Recherche Concert ee (ARC Consolidation 2015–2019, “Characterization of the electrophysiological bases, the temporal dynamics and the functional relevance of resting state network” attributed to X.D.T.) and by the research convention “Les Voies du Savoir” (Fonds Erasme, Brussels, Belgium). M.B. benefited from the program Attract of Innoviris (grant 2015-BB2B-10), the Spanish Ministry of Economy and Competitiveness (grant PSI2016-77175-P), and theMarie Skłodowska-Curie Action of the European Commission (grant 743562). M.V.G. and G.N.were supported by the Fonds Erasme. N.C. benefited from a research grant from the ARC Consolidation (2014–2017, “Characterization of the electrophysiological bases, the temporal dynamics and the functional relevance of resting state network” attributed to X.D.T.) and from the Fonds Erasme (research convention “Les Voies du Savoir”). X.D.T. is Post-doctorate Clinical Master Specialist at the Fonds de la Recherche Scientifique (F.R.S.-FNRS, Brussels, Belgium). The MEG project at the CUB – H^opital Erasme is financially supported by the Fonds Erasme (research convention “Les Voies du Savoir”).es_ES
dc.language.isoenges_ES
dc.publisherNeuroImagees_ES
dc.relationinfo:eu-repo/grantAgreement/MINECO/PSI2016-77175-Pes_ES
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/743562es_ES
dc.rightsinfo:eu-repo/semantics/embargoedAccesses_ES
dc.subjectConnectivity state transitiones_ES
dc.subjectDynamic functional connectivityes_ES
dc.subjectIndependent component analysises_ES
dc.subjectMagnetoencephalographyes_ES
dc.subjectNetwork mixture modeles_ES
dc.subjectResting statees_ES
dc.titleSynchrony, metastability, dynamic integration, and competition in the spontaneous functional connectivity of the human braines_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder© 2019 Elsevier Inc. All rights reserved.es_ES
dc.relation.publisherversionwww.elsevier.com/locate/neuroimagees_ES
dc.identifier.doi10.1016/j.neuroimage.2019.05.081


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