Ongoing cortical activity at rest: criticality, multistability,/nand ghost attractors

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  • dc.contributor.author Deco, Gustavoca
  • dc.contributor.author Jirsa, Viktor K.ca
  • dc.date.accessioned 2015-01-27T08:32:03Z
  • dc.date.available 2015-01-27T08:32:03Z
  • dc.date.issued 2012ca
  • dc.description.abstract The ongoing activity of the brain at rest, i.e., under no stimulation and in absence of any task, is astonishingly highly structured into/nspatiotemporal patterns. These spatiotemporal patterns, called resting state networks, display low-frequency characteristics (<0.1 Hz)/nobserved typically in the BOLD-fMRI signal of human subjects. We aim here to understand the origins of resting state activity through/nmodeling via a global spiking attractor network of the brain. This approach offers a realistic mechanistic model at the level of each single/nbrain area based on spiking neurons and realistic AMPA, NMDA, and GABA synapses. Integrating the biologically realistic diffusion/ntensor imaging/diffusion spectrum imaging-based neuroanatomical connectivity into the brain model, the resultant emerging resting/nstate functional connectivity of the brain network fits quantitatively best the experimentally observed functional connectivity in humans/nwhen the brain network operates at the edge of instability. Under these conditions, the slow fluctuating (</n0.1 Hz) resting state networks/nemerge as structured noise fluctuations around a stable low firing activity equilibrium state in the presence of latent “ghost” multistable/nattractors. The multistable attractor landscape defines a functionally meaningful dynamic repertoire of the brain network that is inher-/nently present in the neuroanatomical connectivity.en
  • dc.description.sponsorship G.D. was supported by the European Union Grant EC005-024, by SAF2010-16085 and the “La Marato”/nFoundation,andbytheCONSOLIDER-INGENIO2010ProgrammeCSD2007-00012.The research reported here in was/nsupported by the Brain Network Recovery Group through the James S. McDonnell Foundation and the FP7-ICT/nBrainScales.
  • dc.format.extent 10 p.
  • dc.format.mimetype application/pdfca
  • dc.identifier.citation Deco G, Jirsa VK. Ongoing cortical activity at rest: criticality, multistability, and ghost attractors. J Neurosci. 2012 Mar;32(10):3366-75. DOI 10.1523/JNEUROSCI.2523-11.2012ca
  • dc.identifier.doi http://dx.doi.org/10.1523/JNEUROSCI.2523-11.2012
  • dc.identifier.issn 0270-6474ca
  • dc.identifier.uri http://hdl.handle.net/10230/23077
  • dc.language.iso engca
  • dc.publisher Society for Neuroscienceca
  • dc.relation.ispartof The Journal of Neuroscience. 2012 Mar;32(10):3366-75
  • 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 The work is published under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported license, as described at http://creativecommons.org/licenses/by-nc-sa/3.0/ca
  • dc.rights.accessRights info:eu-repo/semantics/openAccessca
  • dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/3.0/
  • dc.title Ongoing cortical activity at rest: criticality, multistability,/nand ghost attractorsca
  • dc.type info:eu-repo/semantics/articleca
  • dc.type.version info:eu-repo/semantics/publishedVersionca

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