Inferring the dynamical effects of stroke lesions through whole-brain modeling

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  • dc.contributor.author Idesis, Sebastian Ariel
  • dc.contributor.author Favaretto, Chiara
  • dc.contributor.author Metcalf, Nicholas V.
  • dc.contributor.author Griffis, Joseph C.
  • dc.contributor.author Shulman, Gordon L.
  • dc.contributor.author Corbetta, Maurizio
  • dc.contributor.author Deco, Gustavo
  • dc.date.accessioned 2023-03-03T07:49:20Z
  • dc.date.available 2023-03-03T07:49:20Z
  • dc.date.issued 2022
  • dc.description.abstract Understanding the effect of focal lesions (stroke) on brain structure-function traditionally relies on behavioral analyses and correlation with neuroimaging data. Here we use structural disconnection maps from individual lesions to derive a causal mechanistic generative whole-brain model able to explain both functional connectivity alterations and behavioral deficits induced by stroke. As compared to other models that use only the local lesion information, the similarity to the empirical fMRI connectivity increases when the widespread structural disconnection information is considered. The presented model classifies behavioral impairment severity with higher accuracy than other types of information (e.g.: functional connectivity). We assessed topological measures that characterize the functional effects of damage. With the obtained results, we were able to understand how network dynamics change emerge, in a nontrivial way, after a stroke injury of the underlying complex brain system. This type of modeling, including structural disconnection information, helps to deepen our understanding of the underlying mechanisms of stroke lesions.
  • dc.description.sponsorship S.I is supported by the EU-project euSNN (MSCA-ITN-ETNH2020-860563). G.D. is supported by the Spanish national research project (ref. PID2019-105772GB-I00/AEI/10.13039/501100011033) funded by the Spanish Ministry of Science, Innovation, and Universities (MCIU). MC was supported by FLAG-ERA JTC 2017 (grant ANR-17-HBPR-0001); MIUR – Departments of Excellence Italian Ministry of Research (MART_ECCELLENZA18_01); Fondazione Cassa di Risparmio di Padova e Rovigo (CARIPARO) – Ricerca Scientifica di Eccellenza 2018 – (Grant Agreement number 55403); Ministry of Health Italy Brain connectivity measured with high-density electroencephalography: a novel neurodiagnostic tool for stroke- NEUROCONN (RF-2008 -12366899); Celeghin Foundation Padova (CUP C94I20000420007); BIAL foundation grant (No. 361/18); Ministry of Health Italy: Eye-movement dynamics during free viewing as biomarker for assessment of visuospatial functions and for closed-loop rehabilitation in stroke – EYEMOVINSTROKE (RF-2019-12369300).
  • dc.format.mimetype application/pdf
  • dc.identifier.citation Idesis S, Favaretto C, Metcalf NV, Griffis JC, Shulman GL, Corbetta M, Deco G. Inferring the dynamical effects of stroke lesions through whole-brain modeling. Neuroimage Clin. 2022;36:103233. DOI: 10.1016/j.nicl.2022.103233
  • dc.identifier.doi http://dx.doi.org/10.1016/j.nicl.2022.103233
  • dc.identifier.issn 2213-1582
  • dc.identifier.uri http://hdl.handle.net/10230/56030
  • dc.language.iso eng
  • dc.publisher Elsevier
  • dc.relation.ispartof NeuroImage: Clinical. 2022;36:103233.
  • dc.relation.isreferencedby https://ars.els-cdn.com/content/image/1-s2.0-S2213158222002984-mmc1.docx
  • dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/860563
  • dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/PID2019-105772GB-I00
  • dc.rights © 2022 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/bync-nd/4.0/).
  • dc.rights.accessRights info:eu-repo/semantics/openAccess
  • dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/
  • dc.subject.keyword Dynamical effects
  • dc.subject.keyword Generative model
  • dc.subject.keyword Stroke
  • dc.subject.keyword Structural disconnection
  • dc.subject.keyword Whole-brain model
  • dc.title Inferring the dynamical effects of stroke lesions through whole-brain modeling
  • dc.type info:eu-repo/semantics/article
  • dc.type.version info:eu-repo/semantics/publishedVersion

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