dc.contributor.author |
Cabral, Joana R. B. |
dc.contributor.author |
Kringelbach, Morten L. |
dc.contributor.author |
Deco, Gustavo |
dc.date |
2014 |
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.2013.12.005 |
dc.identifier.citation |
1553-734X |
dc.identifier.citation |
http://dx.doi.org/10.1016/j.pneurobio.2013.12.005 |
dc.identifier.uri |
http://hdl.handle.net/10230/23083 |
dc.format |
30 p. |
dc.format |
application/pdf |
dc.language.iso |
eng |
dc.publisher |
Elsevier |
dc.relation |
Progress in Neurobiology. 2013 Dec;114:12-31 |
dc.relation |
info:eu-repo/grantAgreement/EC/FP7/295129 |
dc.relation |
info:eu-repo/grantAgreement/EC/FP7/269921 |
dc.relation |
info:eu-repo/grantAgreement/ES/3PN/SAF2010-16085 |
dc.relation |
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. |
dc.rights |
info:eu-repo/semantics/openAccess |
dc.rights |
http://creativecommons.org/licenses/by-nc-nd/3.0/ |
dc.subject |
Resting-state |
dc.subject |
Functional networks |
dc.subject |
Anatomical networks |
dc.subject |
Computational modelling |
dc.title |
Exploring the network dynamics underlying brain activity during rest |
dc.type |
info:eu-repo/semantics/article |
dc.type |
info:eu-repo/semantics/publishedVersion |
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. |
dc.description.abstract |
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. |