Identification of optimal structural connectivity using functional connectivity and neural modeling

The complex network dynamics that arise from the interaction of the brain’s structural and functional architectures give rise to mental/nfunction. Theoretical models demonstrate that the structure–function relation is maximal when the global network dynamics operate at/na critical point of state tra...

Descripción completa

Detalles Bibliográficos
Autores: Deco, Gustavo, McIntosh, Anthony R., Shen, Kelly, Hutchison, R. Matthew, Menon, Ravi S., Everling, Stefan, Hagmann, Patric, Jirsa, Viktor K.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2014
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10230/23090
Acceso en línea:http://hdl.handle.net/10230/23090
http://dx.doi.org/10.1523/JNEUROSCI.4423-13.2014
Access Level:acceso abierto
Palabra clave:Anatomy
fMRI
Functional connectivity
Modeling
id ES_ba413e834fdf2cbae270cc7fcffe4d4f
oai_identifier_str oai:recercat.cat:10230/23090
network_acronym_str ES
network_name_str España
repository_id_str
spelling Identification of optimal structural connectivity using functional connectivity and neural modelingDeco, GustavoMcIntosh, Anthony R.Shen, KellyHutchison, R. MatthewMenon, Ravi S.Everling, StefanHagmann, PatricJirsa, Viktor K.AnatomyfMRIFunctional connectivityModelingThe complex network dynamics that arise from the interaction of the brain’s structural and functional architectures give rise to mental/nfunction. Theoretical models demonstrate that the structure–function relation is maximal when the global network dynamics operate at/na critical point of state transition. In the present work, we used a dynamic mean-field neural model to fit empirical structural connectivity/n(SC) and functional connectivity (FC) data acquired in humans and macaques and developed a new iterative-fitting algorithm to optimize/nthe SC matrix based on the FC matrix. A dramatic improvement of the fitting of the matrices was obtained with the addition of a small/nnumber of anatomical links, particularly cross-hemispheric connections, and reweighting of existing connections. We suggest that the/nnotion of a critical working point, where the structure–function interplay is maximal, may provide a new way to link behavior and/ncognition, and a new perspective to understand recovery of function in clinical conditions.G.D. was supported by the European Research Council Advanced Grant DYSTRUCTURE (n.295129), by the Spanish/nResearch Project SAF2010-16085, and by the CONSOLIDER-INGENIO 2010 Programme CSD2007-00012. V.K.J. and/nG.D. are supported by FP7-ICT BrainScales. The research reported herein was supported by Collaborative Research/nGrant 220020255 from the James S. McDonnell Foundation. P.H. is supported by the Leenaards FoundationSociety for Neuroscience201520152014info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersion7 p.application/pdfapplication/pdfhttp://hdl.handle.net/10230/23090http://dx.doi.org/10.1523/JNEUROSCI.4423-13.2014reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésThe Journal of Neuroscience. 2014 Jun;34(23):7910-6info:eu-repo/grantAgreement/EC/FP7/295129info:eu-repo/grantAgreement/EC/FP7/269921info:eu-repo/grantAgreement/ES/2PN/CSD2007-00012info:eu-repo/grantAgreement/ES/3PN/SAF2010-16085The 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/http://creativecommons.org/licenses/by-nc-sa/3.0/info:eu-repo/semantics/openAccessoai:recercat.cat:10230/230902026-05-29T05:05:01Z
dc.title.none.fl_str_mv Identification of optimal structural connectivity using functional connectivity and neural modeling
title Identification of optimal structural connectivity using functional connectivity and neural modeling
spellingShingle Identification of optimal structural connectivity using functional connectivity and neural modeling
Deco, Gustavo
Anatomy
fMRI
Functional connectivity
Modeling
title_short Identification of optimal structural connectivity using functional connectivity and neural modeling
title_full Identification of optimal structural connectivity using functional connectivity and neural modeling
title_fullStr Identification of optimal structural connectivity using functional connectivity and neural modeling
title_full_unstemmed Identification of optimal structural connectivity using functional connectivity and neural modeling
title_sort Identification of optimal structural connectivity using functional connectivity and neural modeling
dc.creator.none.fl_str_mv Deco, Gustavo
McIntosh, Anthony R.
Shen, Kelly
Hutchison, R. Matthew
Menon, Ravi S.
Everling, Stefan
Hagmann, Patric
Jirsa, Viktor K.
author Deco, Gustavo
author_facet Deco, Gustavo
McIntosh, Anthony R.
Shen, Kelly
Hutchison, R. Matthew
Menon, Ravi S.
Everling, Stefan
Hagmann, Patric
Jirsa, Viktor K.
author_role author
author2 McIntosh, Anthony R.
Shen, Kelly
Hutchison, R. Matthew
Menon, Ravi S.
Everling, Stefan
Hagmann, Patric
Jirsa, Viktor K.
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Anatomy
fMRI
Functional connectivity
Modeling
topic Anatomy
fMRI
Functional connectivity
Modeling
description The complex network dynamics that arise from the interaction of the brain’s structural and functional architectures give rise to mental/nfunction. Theoretical models demonstrate that the structure–function relation is maximal when the global network dynamics operate at/na critical point of state transition. In the present work, we used a dynamic mean-field neural model to fit empirical structural connectivity/n(SC) and functional connectivity (FC) data acquired in humans and macaques and developed a new iterative-fitting algorithm to optimize/nthe SC matrix based on the FC matrix. A dramatic improvement of the fitting of the matrices was obtained with the addition of a small/nnumber of anatomical links, particularly cross-hemispheric connections, and reweighting of existing connections. We suggest that the/nnotion of a critical working point, where the structure–function interplay is maximal, may provide a new way to link behavior and/ncognition, and a new perspective to understand recovery of function in clinical conditions.
publishDate 2014
dc.date.none.fl_str_mv 2014
2015
2015
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/23090
http://dx.doi.org/10.1523/JNEUROSCI.4423-13.2014
url http://hdl.handle.net/10230/23090
http://dx.doi.org/10.1523/JNEUROSCI.4423-13.2014
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv The Journal of Neuroscience. 2014 Jun;34(23):7910-6
info:eu-repo/grantAgreement/EC/FP7/295129
info:eu-repo/grantAgreement/EC/FP7/269921
info:eu-repo/grantAgreement/ES/2PN/CSD2007-00012
info:eu-repo/grantAgreement/ES/3PN/SAF2010-16085
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by-nc-sa/3.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/3.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 7 p.
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Society for Neuroscience
publisher.none.fl_str_mv Society for Neuroscience
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869417862738739200
score 15,81155

Similares en LA Referencia