Ising-like dynamics in large-scale functional brain networks

Autores
Fraiman Borrazás, Daniel Edmundo; Balenzuela, Pablo; Foss, Jennifer; Chialvo, Dante Renato
Año de publicación
2009
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Brain "rest" is defined-more or less unsuccessfully-as the state in which there is no explicit brain input or output. This work focuses on the question of whether such state can be comparable to any known dynamical state. For that purpose, correlation networks from human brain functional magnetic resonance imaging are contrasted with correlation networks extracted from numerical simulations of the Ising model in two dimensions at different temperatures. For the critical temperature Tc, striking similarities appear in the most relevant statistical properties, making the two networks indistinguishable from each other. These results are interpreted here as lending support to the conjecture that the dynamics of the functioning brain is near a critical point. © 2009 The American Physical Society.
Fil: Fraiman Borrazás, Daniel Edmundo. Universidad de San Andrés. Departamento de Matemáticas y Ciencias; Argentina
Fil: Balenzuela, Pablo. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina
Fil: Foss, Jennifer. Northwestern University; Estados Unidos
Fil: Chialvo, Dante Renato. Northwestern University; Estados Unidos
Materia
Criticality
Functional Connectivity
Brain
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:11336/60387
Acceder
id CONICETDig_eb3f9bda1115d942781bdfad7496ccf0
oai_identifier_str oai:ri.conicet.gov.ar:11336/60387
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Ising-like dynamics in large-scale functional brain networksFraiman Borrazás, Daniel EdmundoBalenzuela, PabloFoss, JenniferChialvo, Dante RenatoCriticalityFunctional ConnectivityBrainhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Brain "rest" is defined-more or less unsuccessfully-as the state in which there is no explicit brain input or output. This work focuses on the question of whether such state can be comparable to any known dynamical state. For that purpose, correlation networks from human brain functional magnetic resonance imaging are contrasted with correlation networks extracted from numerical simulations of the Ising model in two dimensions at different temperatures. For the critical temperature Tc, striking similarities appear in the most relevant statistical properties, making the two networks indistinguishable from each other. These results are interpreted here as lending support to the conjecture that the dynamics of the functioning brain is near a critical point. © 2009 The American Physical Society.Fil: Fraiman Borrazás, Daniel Edmundo. Universidad de San Andrés. Departamento de Matemáticas y Ciencias; ArgentinaFil: Balenzuela, Pablo. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; ArgentinaFil: Foss, Jennifer. Northwestern University; Estados UnidosFil: Chialvo, Dante Renato. Northwestern University; Estados UnidosAmerican Physical Society2009-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/60387Fraiman Borrazás, Daniel Edmundo; Balenzuela, Pablo; Foss, Jennifer; Chialvo, Dante Renato; Ising-like dynamics in large-scale functional brain networks; American Physical Society; Physical Review E: Statistical, Nonlinear and Soft Matter Physics; 79; 6; 12-2009; 61922-619311539-3755CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://link.aps.org/doi/10.1103/PhysRevE.79.061922info:eu-repo/semantics/altIdentifier/doi/10.1103/PhysRevE.79.061922info:eu-repo/semantics/altIdentifier/url/https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7099971/info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:16:22Zoai:ri.conicet.gov.ar:11336/60387instacron: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:34982025-09-29 10:16:22.325CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Ising-like dynamics in large-scale functional brain networks
title Ising-like dynamics in large-scale functional brain networks
spellingShingle Ising-like dynamics in large-scale functional brain networks
Fraiman Borrazás, Daniel Edmundo
Criticality
Functional Connectivity
Brain
title_short Ising-like dynamics in large-scale functional brain networks
title_full Ising-like dynamics in large-scale functional brain networks
title_fullStr Ising-like dynamics in large-scale functional brain networks
title_full_unstemmed Ising-like dynamics in large-scale functional brain networks
title_sort Ising-like dynamics in large-scale functional brain networks
dc.creator.none.fl_str_mv Fraiman Borrazás, Daniel Edmundo
Balenzuela, Pablo
Foss, Jennifer
Chialvo, Dante Renato
author Fraiman Borrazás, Daniel Edmundo
author_facet Fraiman Borrazás, Daniel Edmundo
Balenzuela, Pablo
Foss, Jennifer
Chialvo, Dante Renato
author_role author
author2 Balenzuela, Pablo
Foss, Jennifer
Chialvo, Dante Renato
author2_role author
author
author
dc.subject.none.fl_str_mv Criticality
Functional Connectivity
Brain
topic Criticality
Functional Connectivity
Brain
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Brain "rest" is defined-more or less unsuccessfully-as the state in which there is no explicit brain input or output. This work focuses on the question of whether such state can be comparable to any known dynamical state. For that purpose, correlation networks from human brain functional magnetic resonance imaging are contrasted with correlation networks extracted from numerical simulations of the Ising model in two dimensions at different temperatures. For the critical temperature Tc, striking similarities appear in the most relevant statistical properties, making the two networks indistinguishable from each other. These results are interpreted here as lending support to the conjecture that the dynamics of the functioning brain is near a critical point. © 2009 The American Physical Society.
Fil: Fraiman Borrazás, Daniel Edmundo. Universidad de San Andrés. Departamento de Matemáticas y Ciencias; Argentina
Fil: Balenzuela, Pablo. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina
Fil: Foss, Jennifer. Northwestern University; Estados Unidos
Fil: Chialvo, Dante Renato. Northwestern University; Estados Unidos
description Brain "rest" is defined-more or less unsuccessfully-as the state in which there is no explicit brain input or output. This work focuses on the question of whether such state can be comparable to any known dynamical state. For that purpose, correlation networks from human brain functional magnetic resonance imaging are contrasted with correlation networks extracted from numerical simulations of the Ising model in two dimensions at different temperatures. For the critical temperature Tc, striking similarities appear in the most relevant statistical properties, making the two networks indistinguishable from each other. These results are interpreted here as lending support to the conjecture that the dynamics of the functioning brain is near a critical point. © 2009 The American Physical Society.
publishDate 2009
dc.date.none.fl_str_mv 2009-12
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/11336/60387
Fraiman Borrazás, Daniel Edmundo; Balenzuela, Pablo; Foss, Jennifer; Chialvo, Dante Renato; Ising-like dynamics in large-scale functional brain networks; American Physical Society; Physical Review E: Statistical, Nonlinear and Soft Matter Physics; 79; 6; 12-2009; 61922-61931
1539-3755
CONICET Digital
CONICET
url http://hdl.handle.net/11336/60387
identifier_str_mv Fraiman Borrazás, Daniel Edmundo; Balenzuela, Pablo; Foss, Jennifer; Chialvo, Dante Renato; Ising-like dynamics in large-scale functional brain networks; American Physical Society; Physical Review E: Statistical, Nonlinear and Soft Matter Physics; 79; 6; 12-2009; 61922-61931
1539-3755
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://link.aps.org/doi/10.1103/PhysRevE.79.061922
info:eu-repo/semantics/altIdentifier/doi/10.1103/PhysRevE.79.061922
info:eu-repo/semantics/altIdentifier/url/https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7099971/
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
application/pdf
application/pdf
dc.publisher.none.fl_str_mv American Physical Society
publisher.none.fl_str_mv American Physical Society
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_ 1844614107500642304
score 13.070432

Publicaciones similares