How anatomy shapes dynamics: a semi-analytical study of the brain at rest by a simple spin model

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• dc.contributor.author Deco, Gustavoca
• dc.contributor.author Senden, Marioca
• dc.contributor.author Jirsa, Viktor K.ca
• dc.date.accessioned 2015-01-27T08:32:16Z
• dc.date.available 2015-01-27T08:32:16Z
• dc.date.issued 2012ca
• dc.description.abstract Resting state networks (RSNs) show a surprisingly coherent and robust spatiotemporal/norganization. Previous theoretical studies demonstrated that these patterns can be/nunderstood as emergent on the basis of the underlying neuroanatomical connectivity/nskeleton. Integrating the biologically realistic DTI/DSI-(Diffusion Tensor Imaging/Diffusion/nSpectrum Imaging)based neuroanatomical connectivity into a brain model of Ising/nspin dynamics, we found a system with multiple attractors, which can be studied/nanalytically. The multistable attract/nor landscape thus defines a functionally meaningful/ndynamic repertoire of the brain network that is inherently present in the neuroanatomical/nconnectivity. We demonstrate that the more entropy of attractors exists, the richer is the/ndynamical repertoire and consequently the brain network displays more capabilities of/ncomputation. We hypothesize therefore tha/nt human brain connectivity developed a scale/nfree type of architecture in order to be able to store a large number of different and flexibly/naccessible brain functions.en
• dc.description.sponsorship Gustavo Deco was supported by the Spanish Research/nProject SAF2010-16085 and by the CONSOLIDER-INGENIO/n2010 Programme CSD2007-00012. The research reported/nherein was supported by the ERC Advanced Grant:/nDYSTRUCTURE, by the Brain Network Recovery Group/nthrough the James S. McDonnell Foundation and the FP7-ICT/nBrainScales.
• dc.format.extent 7 p.
• dc.format.mimetype application/pdfca
• dc.identifier.citation Deco G, Senden M, Jirsa V. How anatomy shapes dynamics: a semi-analytical study of the brain at rest by a simple spin model. Front Comput Neurosci. 2012 Sep 20;6(68):1-7. DOI: 10.3389/fncom.2012.00068ca
• dc.identifier.doi http://dx.doi.org/10.3389/fncom.2012.00068
• dc.identifier.issn 1662-5188ca
• dc.identifier.uri http://hdl.handle.net/10230/23078
• dc.language.iso engca
• dc.publisher Frontiersca
• dc.relation.ispartof Frontiers in Computational Neuroscien. 2012;6(68):1-7
• 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 © 2012 Deco, Senden and Jirsa. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc. This Document is Protected by copyright and was first published by Frontiersca
• dc.rights.accessRights info:eu-repo/semantics/openAccessca
• dc.rights.uri http://creativecommons.org/licenses/by/4.0/
• dc.subject.keyword Computational neuroscience
• dc.subject.keyword fMRI modeling
• dc.subject.keyword Ongoing activity
• dc.subject.keyword Resting state
• dc.subject.keyword Connectivity matrix
• dc.title How anatomy shapes dynamics: a semi-analytical study of the brain at rest by a simple spin modelca
• dc.type info:eu-repo/semantics/articleca
• dc.type.version info:eu-repo/semantics/publishedVersionca