Linking entropy at rest with the underlying structural connectivity in the healthy and lesioned brain

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  • dc.contributor.author Saenger Amoore, Victor Manuelca
  • dc.contributor.author Ponce-Alvarez, Adriánca
  • dc.contributor.author Adhikari, Mohit H.ca
  • dc.contributor.author Hagmann, Patricca
  • dc.contributor.author Deco, Gustavoca
  • dc.contributor.author Corbetta, Maurizioca
  • dc.date.accessioned 2017-07-19T08:35:20Z
  • dc.date.issued 2017
  • dc.description.abstract The brain is a network that mediates information processing through a wide range of states. The extent of state diversity is a reflection of the entropy of the network. Here we measured the entropy of brain regions (nodes) in empirical and modeled functional networks reconstructed from resting state fMRI to address the connection of entropy at rest with the underlying structure measured through diffusion spectrum imaging. Using 18 empirical and 18 modeled stroke networks, we also investigated the effect that focal lesions have on node entropy and information diffusion. Overall, positive correlations between node entropy and structure were observed, especially between node entropy and node strength in both empirical and modeled data. Although lesions were restricted to one hemisphere in all stroke patients, entropy reduction was not only present in nodes from the damaged hemisphere, but also in nodes from the contralesioned hemisphere, an effect replicated in modeled stroke networks. Globally, information diffusion was also affected in empirical and modeled strokes compared with healthy controls. This is the first study showing that artificial lesions affect local and global network aspects in very similar ways compared with empirical strokes, shedding new light into the functional nature of stroke.
  • dc.description.sponsorship In this work, G.D. was supported by the ERC Advanced Grant DYSTRUCTURE (n. 295129), by the Spanish Research Project PSI2016-75688-P (AEI/FEDER) and by the European Union’s Horizon 2020 research and innovation program under grant agreement n. 720270 (HBP SGA1). M.A. was supported by the ERC Advanced Grant DYSTRUCTURE (n. 295129). A.P.-A. was supported by a Juan de la Cierva fellowship (IJCI-2014–066) from the Spanish Ministry of Economy and Competitiveness. V.M.S. was supported by the Research Personnel Training program (PSI2013-42091-P) funded by the Spanish Ministry of Economy and Competitiveness.
  • dc.format.mimetype application/pdfca
  • dc.identifier.citation Saenger VM, Ponce-Alvarez A, Adhikari M, Hangmann P, Deco G, Corbetta M. Linking entropy at rest with the underlying structural connectivity in the healthy and lesioned brain. Cereb cortex. 2017;28(8):2948-58. DOI: 10.1093/cercor/bhx176
  • dc.identifier.doi http://dx.doi.org/10.1093/cercor/bhx176
  • dc.identifier.issn 1047-3211
  • dc.identifier.uri http://hdl.handle.net/10230/32567
  • dc.language.iso eng
  • dc.publisher Oxford University Pressca
  • dc.relation.ispartof Cerebral cortex. 2017;28(8):2948-58
  • dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/295129
  • dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/PSI2016-75688-P
  • dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/PSI2013-42091-P
  • dc.rights © Oxford University Press. This is a pre-copy-editing, author-produced PDF of an article accepted for publication in Cerebral Cortex following peer review. The definitive publisher-authenticated version Saenger VM, Ponce-Alvarez A, Adhikari M, Hangmann P, Deco G, Corbetta M. Linking entropy at rest with the underlying structural connectivity in the healthy and lesioned brain. Cereb cortex. 2017. is available online at: https://doi.org/10.1093/cercor/bhx176
  • dc.rights.accessRights info:eu-repo/semantics/openAccess
  • dc.subject.keyword Entropy
  • dc.subject.keyword Information flow
  • dc.subject.keyword Stroke
  • dc.subject.keyword Structural connectivity
  • dc.subject.keyword Whole-brain modeling
  • dc.title Linking entropy at rest with the underlying structural connectivity in the healthy and lesioned brainca
  • dc.type info:eu-repo/semantics/article
  • dc.type.version info:eu-repo/semantics/acceptedVersion