Brain Organization into Resting State Networks Emerges at Criticality on a Model of the Human Connectome

Autores
Haimovici, Ariel; Tagliazucchi, Enzo Rodolfo; Balenzuela, Pablo; Chialvo, Dante Renato
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The relation between large-scale brain structure and function is an outstanding open problem in neuroscience. We approach this problem by studying the dynamical regime under which realistic spatiotemporal patterns of brain activity emerge from the empirically derived network of human brain neuroanatomical connections. The results show that critical dynamics unfolding on the structural connectivity of the human brain allow the recovery of many key experimental findings obtained from functional magnetic resonance imaging, such as divergence of the correlation length, the anomalous scaling of correlation fluctuations, and the emergence of large-scale resting state networks.
Fil: Haimovici, Ariel. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina;
Fil: Tagliazucchi, Enzo Rodolfo. Brain Imaging Center, Goethe University; Alemania;
Fil: Balenzuela, Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires; Argentina;
Fil: Chialvo, Dante Renato. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Fisica; Argentina;
Materia
Large Scale Brain Dynamics
Critical Behavior
Brain Modeling
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/623
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/623
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Brain Organization into Resting State Networks Emerges at Criticality on a Model of the Human ConnectomeHaimovici, ArielTagliazucchi, Enzo RodolfoBalenzuela, PabloChialvo, Dante RenatoLarge Scale Brain DynamicsCritical BehaviorBrain Modelinghttps://purl.org/becyt/ford/1https://purl.org/becyt/ford/1.3The relation between large-scale brain structure and function is an outstanding open problem in neuroscience. We approach this problem by studying the dynamical regime under which realistic spatiotemporal patterns of brain activity emerge from the empirically derived network of human brain neuroanatomical connections. The results show that critical dynamics unfolding on the structural connectivity of the human brain allow the recovery of many key experimental findings obtained from functional magnetic resonance imaging, such as divergence of the correlation length, the anomalous scaling of correlation fluctuations, and the emergence of large-scale resting state networks.Fil: Haimovici, Ariel. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina;Fil: Tagliazucchi, Enzo Rodolfo. Brain Imaging Center, Goethe University; Alemania;Fil: Balenzuela, Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires; Argentina;Fil: Chialvo, Dante Renato. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Fisica; Argentina;Amer Physical Soc2013-04-26info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/623Haimovici, Ariel; Tagliazucchi, Enzo Rodolfo; Balenzuela, Pablo; Chialvo, Dante Renato; Brain Organization into Resting State Networks Emerges at Criticality on a Model of the Human Connectome; Amer Physical Soc; Physical Review Letters; 110; 26-4-2013; 178101-178104;0031-9007enginfo:eu-repo/semantics/altIdentifier/url/http://prl.aps.org/abstract/PRL/v110/i17/e178101info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:47:08Zoai:ri.conicet.gov.ar:11336/623instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:47:08.802CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Brain Organization into Resting State Networks Emerges at Criticality on a Model of the Human Connectome
title Brain Organization into Resting State Networks Emerges at Criticality on a Model of the Human Connectome
spellingShingle Brain Organization into Resting State Networks Emerges at Criticality on a Model of the Human Connectome
Haimovici, Ariel
Large Scale Brain Dynamics
Critical Behavior
Brain Modeling
title_short Brain Organization into Resting State Networks Emerges at Criticality on a Model of the Human Connectome
title_full Brain Organization into Resting State Networks Emerges at Criticality on a Model of the Human Connectome
title_fullStr Brain Organization into Resting State Networks Emerges at Criticality on a Model of the Human Connectome
title_full_unstemmed Brain Organization into Resting State Networks Emerges at Criticality on a Model of the Human Connectome
title_sort Brain Organization into Resting State Networks Emerges at Criticality on a Model of the Human Connectome
dc.creator.none.fl_str_mv Haimovici, Ariel
Tagliazucchi, Enzo Rodolfo
Balenzuela, Pablo
Chialvo, Dante Renato
author Haimovici, Ariel
author_facet Haimovici, Ariel
Tagliazucchi, Enzo Rodolfo
Balenzuela, Pablo
Chialvo, Dante Renato
author_role author
author2 Tagliazucchi, Enzo Rodolfo
Balenzuela, Pablo
Chialvo, Dante Renato
author2_role author
author
author
dc.subject.none.fl_str_mv Large Scale Brain Dynamics
Critical Behavior
Brain Modeling
topic Large Scale Brain Dynamics
Critical Behavior
Brain Modeling
purl_subject.fl_str_mv https://purl.org/becyt/ford/1
https://purl.org/becyt/ford/1.3
dc.description.none.fl_txt_mv The relation between large-scale brain structure and function is an outstanding open problem in neuroscience. We approach this problem by studying the dynamical regime under which realistic spatiotemporal patterns of brain activity emerge from the empirically derived network of human brain neuroanatomical connections. The results show that critical dynamics unfolding on the structural connectivity of the human brain allow the recovery of many key experimental findings obtained from functional magnetic resonance imaging, such as divergence of the correlation length, the anomalous scaling of correlation fluctuations, and the emergence of large-scale resting state networks.
Fil: Haimovici, Ariel. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina;
Fil: Tagliazucchi, Enzo Rodolfo. Brain Imaging Center, Goethe University; Alemania;
Fil: Balenzuela, Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires; Argentina;
Fil: Chialvo, Dante Renato. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Fisica; Argentina;
description The relation between large-scale brain structure and function is an outstanding open problem in neuroscience. We approach this problem by studying the dynamical regime under which realistic spatiotemporal patterns of brain activity emerge from the empirically derived network of human brain neuroanatomical connections. The results show that critical dynamics unfolding on the structural connectivity of the human brain allow the recovery of many key experimental findings obtained from functional magnetic resonance imaging, such as divergence of the correlation length, the anomalous scaling of correlation fluctuations, and the emergence of large-scale resting state networks.
publishDate 2013
dc.date.none.fl_str_mv 2013-04-26
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/623
Haimovici, Ariel; Tagliazucchi, Enzo Rodolfo; Balenzuela, Pablo; Chialvo, Dante Renato; Brain Organization into Resting State Networks Emerges at Criticality on a Model of the Human Connectome; Amer Physical Soc; Physical Review Letters; 110; 26-4-2013; 178101-178104;
0031-9007
url http://hdl.handle.net/11336/623
identifier_str_mv Haimovici, Ariel; Tagliazucchi, Enzo Rodolfo; Balenzuela, Pablo; Chialvo, Dante Renato; Brain Organization into Resting State Networks Emerges at Criticality on a Model of the Human Connectome; Amer Physical Soc; Physical Review Letters; 110; 26-4-2013; 178101-178104;
0031-9007
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://prl.aps.org/abstract/PRL/v110/i17/e178101
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Amer Physical Soc
publisher.none.fl_str_mv Amer Physical Soc
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1842268839548551168
score 13.13397

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