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The dynamics of resting fluctuations in the brain: metastability and its dynamical cortical core

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dc.contributor.author Deco, Gustavo
dc.contributor.author Kringelbach, Morten L.
dc.contributor.author Jirsa, Viktor K.
dc.contributor.author Ritter, Petra
dc.date.accessioned 2017-08-21T11:01:50Z
dc.date.available 2017-08-21T11:01:50Z
dc.date.issued 2017
dc.identifier.citation Deco G, Kringelbach ML, Jirsa VK, Ritter P. The dynamics of resting fluctuations in the brain: metastability and its dynamical cortical core. Sci Rep. 2017;7:3095. DOI: 10.1038/s41598-017-03073-5
dc.identifier.issn 2045-2322
dc.identifier.uri http://hdl.handle.net/10230/32665
dc.description.abstract In the human brain, spontaneous activity during resting state consists of rapid transitions between functional network states over time but the underlying mechanisms are not understood. We use connectome based computational brain network modeling to reveal fundamental principles of how the human brain generates large-scale activity observable by noninvasive neuroimaging. We used structural and functional neuroimaging data to construct whole- brain models. With this novel approach, we reveal that the human brain during resting state operates at maximum metastability, i.e. in a state of maximum network switching. In addition, we investigate cortical heterogeneity across areas. Optimization of the spectral characteristics of each local brain region revealed the dynamical cortical core of the human brain, which is driving the activity of the rest of the whole brain. Brain network modelling goes beyond correlational neuroimaging analysis and reveals non-trivial network mechanisms underlying non-invasive observations. Our novel findings significantly pertain to the important role of computational connectomics in understanding principles of brain function.
dc.description.sponsorship GD is supported by the ERC Advanced Grant DYSTRUCTURE (n. 295129), by the Spanish Research Project PSI2016-75688-P. MLK is supported by the ERC Consolidator Grant: CAREGIVING (n. 615539) and Center for Music in the Brain, funded by the Danish National Research Foundation (DNRF117). VJ and GD are supported by the European Union’s Horizon 2020 research and innovation programme under grant agreement n. 720270 (HBP SGA1). VJ and PR are supported by the James S. McDonnell Foundation (Brain Network Recovery Group JSMF22002082). VJ is supported by FHU EPINEXT [A*MIDEX project (ANR-11-IDEX-0001-02) funded by the ‘Investissements d’Avenir’ French Government]. PR is supported the German Ministry of Education and Research (US-German Collaboration in Computational Neuroscience 100258846 and Bernstein Focus State Dependencies of Learning 01GQ0971-5), the Max-Planck Society and funding from the European Union Horizon 2020 (ERC Consolidator grant BrainModes 683049).
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Nature Publishing Group
dc.relation.ispartof Scientific Reports. 2017;7:3095.
dc.rights © Nature Publishing Group. This article is licensed under a Creative Commons Attribution 4.0 International License
dc.title The dynamics of resting fluctuations in the brain: metastability and its dynamical cortical core
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.1038/s41598-017-03073-5
dc.subject.keyword Dynamical systems
dc.subject.keyword Cognitive control
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/EC/H2020/720270
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/683049
dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/PSI2016-75688-P
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion

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