A new computational approach to estimate whole-brain effective connectivity from functional and structural MRI, applied to language development

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• dc.contributor.author Hahn, Gerald
• dc.contributor.author Skeide, Michael A.
• dc.contributor.author Mantini, Dante
• dc.contributor.author Ganzetti, Marco
• dc.contributor.author Destexhe, Alain
• dc.contributor.author Friederici, Angela D.
• dc.contributor.author Deco, Gustavo
• dc.date.accessioned 2020-02-17T15:51:03Z
• dc.date.available 2020-02-17T15:51:03Z
• dc.date.issued 2019
• dc.description.abstract Recently introduced effective connectivity methods allow for the in-vivo investigation of large-scale functional interactions between brain regions. However, dynamic causal modeling, the most widely used technique to date, typically captures only a few predefined regions of interest. In this study, we present an alternative computational approach to infer effective connectivity within the entire connectome and show its performance on a developmental cohort with emerging language capacities. The novel approach provides new opportunities to quantify effective connectivity changes in the human brain.
• dc.description.sponsorship G.D. was supported by the ERC Advanced Grant DYSTRUCTURE (n. 295129), the Spanish Research Project PSI2013-42091-P and the FP7-ICT BrainScales (n. 269921). D.M. was supported by a Sir Henry Dale Fellowship of the Wellcome Trust and the Royal Society (n. 101253/Z/13/Z), a Marie Curie Integration Grant of the European Commission (n. 2012-334039), the KU Leuven Special Research Fund (grant C16/15/070), and the Research Foundation Flanders (Pegasus incoming fellowship 12G9417N to MG). MG received funding from the FWO and European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie action (grant 665501). G.D., G.H and A.D. received support from the flagship Human Brain Project (n.604102). A.D was also supported by CNRS, UNIC, the foundation “Voir et Entendre” and Idex (NeuroSaclay). A.D.F. was funded by a grant from the European Research Council (ERC-2010-AdG 20100407, NEUROSYNTAX).
• dc.format.mimetype application/pdf
• dc.identifier.citation Hahn G, Skeide MA, Mantini D, Ganzetti M, Destexhe A, Friederici AD, Deco G. A new computational approach to estimate whole-brain effective connectivity from functional and structural MRI, applied to language development. Sci Rep. 2019 Jun 11;9(1):8479. DOI: 10.1038/s41598-019-44909-6
• dc.identifier.doi http://dx.doi.org/10.1038/s41598-019-44909-6
• dc.identifier.issn 2045-2322
• dc.identifier.uri http://hdl.handle.net/10230/43619
• dc.language.iso eng
• dc.publisher Nature Research
• dc.relation.ispartof Scientific Reports. 2019 Jun 11;9(1):8479
• dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/295129
• dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/PSI2013-42091-P
• dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/269921
• dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/334039
• dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/665501
• dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/604102
• dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/269505
• dc.rights This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri http://creativecommons.org/licenses/by/4.0/
• dc.subject.keyword Human experiment
• dc.subject.keyword Nuclear magnetic resonance imaging
• dc.subject.keyword Quantitative analysis
• dc.subject.keyword Structure activity relation
• dc.title A new computational approach to estimate whole-brain effective connectivity from functional and structural MRI, applied to language development
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion