Exploring the network dynamics underlying brain activity during rest
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- dc.contributor.author Cabral, Joanaca
- dc.contributor.author Kringelbach, Morten L.ca
- dc.contributor.author Deco, Gustavoca
- dc.date.accessioned 2015-01-29T08:21:12Z
- dc.date.available 2015-01-29T08:21:12Z
- dc.date.issued 2014ca
- dc.description.abstract Since the mid 1990s, the intriguing dynamics of the brain at rest has been attracting a growing body of/nresearch in neuroscience. Neuroimaging studies have revealed distinct functional networks that slowly/nactivate and deactivate, pointing to the existence of an underlying network dynamics emerging/nspontaneously during rest, with specific spatial, temporal and spectral characteristics. Several/ntheoretical scenarios have been proposed and tested with the use of large-scale computational models/nof coupled brain areas. However, a mechanistic explanation that encompasses all the phenomena/nobserved in the brain during rest is still to come./nIn this review, we provide an overview of the key findings of resting-state activity covering a range of/nneuroimaging modalities including fMRI, EEG and MEG. We describe how to best define and analyze/nanatomical and functional brain networks and how unbalancing these networks may lead to problems/nwith mental health. Finally, we review existing large-scale models of resting-state dynamics in health/nand disease./nAn important common feature of resting-state models is that the emergence of resting-state/nfunctional networks is obtained when the model parameters are such that the system operates at the/nedge of a bifurcation. At this critical working point, the global network dynamics reveals correlation/npatterns that are spatially shaped by the underlying anatomical structure, leading to an optimal fit with/nthe empirical BOLD functional connectivity. However, new insights coming from recent studies,/nincluding faster oscillatory dynamics and non-stationary functional connectivity, must be taken into/naccount in future models to fully understand the network mechanisms leading to the resting-state/nactivity.en
- dc.description.sponsorship The research reported herein was supported by the ERC/nAdvanced Grant DYSTRUCTURE (No. 295129), by the FET Flagship/nHuman Brain Project, by the Spanish Research Project SAF 2010-/n16085, by the CONSOLIDER-INGENIO 2010 Programme CSD2007-/n00012, by the Brain Network Recovery Group through the James S./nMcDonnell Foundation, by the FP7-ICT BrainScales, and by the/nTrygFonden Charitable Foundation.en
- dc.format.extent 30 p.
- dc.format.mimetype application/pdfca
- dc.identifier.citation Cabral J, Kringelbach ML, Deco G. Exploring the network dynamics underlying brain activity during rest. Prog Neurobiol. 2013 Dec;114:12-31. DOI 10.1016/j.pneurobio.2013.12.005ca
- dc.identifier.doi http://dx.doi.org/10.1016/j.pneurobio.2013.12.005
- dc.identifier.issn 1553-734Xca
- dc.identifier.uri http://hdl.handle.net/10230/23083
- dc.language.iso engca
- dc.publisher Elsevierca
- dc.relation.ispartof Progress in Neurobiology. 2013 Dec;114:12-31
- 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 © 2014 The Authors. Published by Elsevier Ltd. Open access under CC BY-NC-ND license.ca
- dc.rights.accessRights info:eu-repo/semantics/openAccessca
- dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/
- dc.subject.keyword Resting-state
- dc.subject.keyword Functional networks
- dc.subject.keyword Anatomical networks
- dc.subject.keyword Computational modelling
- dc.title Exploring the network dynamics underlying brain activity during restca
- dc.type info:eu-repo/semantics/articleca
- dc.type.version info:eu-repo/semantics/publishedVersionca