The conundrum of functional brain networks: Small-world efficiency or fractal modularity

Autores
Gallos, Lazaros K.; Sigman, Mariano; Makse, Hernán Alejandro
Año de publicación
2012
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The human brain has been studied at multiple scales, from neurons, circuits, areas with well-defined anatomical and functional boundaries, to large-scale functional networks which mediate coherent cognition. In a recent work, we addressed the problem of the hierarchical organization in the brain through network analysis. Our analysis identified functional brain modules of fractal structure that were inter-connected in a small-world topology. Here, we provide more details on the use of network science tools to elaborate on this behavior. We indicate the importance of using percolation theory to highlight the modular character of the functional brain network. These modules present a fractal, self-similar topology, identified through fractal network methods. When we lower the threshold of correlations to include weaker ties, the network as a whole assumes a small-world character. These weak ties are organized precisely as predicted by theory maximizing information transfer with minimal wiring costs. © 2012 Gallos, Sigman and Makse.
Fil: Gallos, Lazaros K.. City College Of New York; Estados Unidos
Fil: Sigman, Mariano. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Laboratorio de Neurociencia Integrativa; 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: Makse, Hernán Alejandro. Universidad de Buenos Aires; Argentina
Materia
BRAIN FUNCTIONAL NETWORKS
FMRI
FRACTAL NETWORKS
MODULARITY
PERCOLATION
SMALL-WORLD
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:11336/78221
Acceder
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network_name_str CONICET Digital (CONICET)
spelling The conundrum of functional brain networks: Small-world efficiency or fractal modularityGallos, Lazaros K.Sigman, MarianoMakse, Hernán AlejandroBRAIN FUNCTIONAL NETWORKSFMRIFRACTAL NETWORKSMODULARITYPERCOLATIONSMALL-WORLDThe human brain has been studied at multiple scales, from neurons, circuits, areas with well-defined anatomical and functional boundaries, to large-scale functional networks which mediate coherent cognition. In a recent work, we addressed the problem of the hierarchical organization in the brain through network analysis. Our analysis identified functional brain modules of fractal structure that were inter-connected in a small-world topology. Here, we provide more details on the use of network science tools to elaborate on this behavior. We indicate the importance of using percolation theory to highlight the modular character of the functional brain network. These modules present a fractal, self-similar topology, identified through fractal network methods. When we lower the threshold of correlations to include weaker ties, the network as a whole assumes a small-world character. These weak ties are organized precisely as predicted by theory maximizing information transfer with minimal wiring costs. © 2012 Gallos, Sigman and Makse.Fil: Gallos, Lazaros K.. City College Of New York; Estados UnidosFil: Sigman, Mariano. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Laboratorio de Neurociencia Integrativa; 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: Makse, Hernán Alejandro. Universidad de Buenos Aires; ArgentinaFrontiers Editorial2012-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/78221Gallos, Lazaros K.; Sigman, Mariano; Makse, Hernán Alejandro; The conundrum of functional brain networks: Small-world efficiency or fractal modularity; Frontiers Editorial; Frontiers in Physiology; 3; 123; 5-2012; 1-91664-042XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.3389/fphys.2012.00123info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:25:15Zoai:ri.conicet.gov.ar:11336/78221instacron: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:34982025-10-15 14:25:15.768CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv The conundrum of functional brain networks: Small-world efficiency or fractal modularity
title The conundrum of functional brain networks: Small-world efficiency or fractal modularity
spellingShingle The conundrum of functional brain networks: Small-world efficiency or fractal modularity
Gallos, Lazaros K.
BRAIN FUNCTIONAL NETWORKS
FMRI
FRACTAL NETWORKS
MODULARITY
PERCOLATION
SMALL-WORLD
title_short The conundrum of functional brain networks: Small-world efficiency or fractal modularity
title_full The conundrum of functional brain networks: Small-world efficiency or fractal modularity
title_fullStr The conundrum of functional brain networks: Small-world efficiency or fractal modularity
title_full_unstemmed The conundrum of functional brain networks: Small-world efficiency or fractal modularity
title_sort The conundrum of functional brain networks: Small-world efficiency or fractal modularity
dc.creator.none.fl_str_mv Gallos, Lazaros K.
Sigman, Mariano
Makse, Hernán Alejandro
author Gallos, Lazaros K.
author_facet Gallos, Lazaros K.
Sigman, Mariano
Makse, Hernán Alejandro
author_role author
author2 Sigman, Mariano
Makse, Hernán Alejandro
author2_role author
author
dc.subject.none.fl_str_mv BRAIN FUNCTIONAL NETWORKS
FMRI
FRACTAL NETWORKS
MODULARITY
PERCOLATION
SMALL-WORLD
topic BRAIN FUNCTIONAL NETWORKS
FMRI
FRACTAL NETWORKS
MODULARITY
PERCOLATION
SMALL-WORLD
dc.description.none.fl_txt_mv The human brain has been studied at multiple scales, from neurons, circuits, areas with well-defined anatomical and functional boundaries, to large-scale functional networks which mediate coherent cognition. In a recent work, we addressed the problem of the hierarchical organization in the brain through network analysis. Our analysis identified functional brain modules of fractal structure that were inter-connected in a small-world topology. Here, we provide more details on the use of network science tools to elaborate on this behavior. We indicate the importance of using percolation theory to highlight the modular character of the functional brain network. These modules present a fractal, self-similar topology, identified through fractal network methods. When we lower the threshold of correlations to include weaker ties, the network as a whole assumes a small-world character. These weak ties are organized precisely as predicted by theory maximizing information transfer with minimal wiring costs. © 2012 Gallos, Sigman and Makse.
Fil: Gallos, Lazaros K.. City College Of New York; Estados Unidos
Fil: Sigman, Mariano. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Laboratorio de Neurociencia Integrativa; 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: Makse, Hernán Alejandro. Universidad de Buenos Aires; Argentina
description The human brain has been studied at multiple scales, from neurons, circuits, areas with well-defined anatomical and functional boundaries, to large-scale functional networks which mediate coherent cognition. In a recent work, we addressed the problem of the hierarchical organization in the brain through network analysis. Our analysis identified functional brain modules of fractal structure that were inter-connected in a small-world topology. Here, we provide more details on the use of network science tools to elaborate on this behavior. We indicate the importance of using percolation theory to highlight the modular character of the functional brain network. These modules present a fractal, self-similar topology, identified through fractal network methods. When we lower the threshold of correlations to include weaker ties, the network as a whole assumes a small-world character. These weak ties are organized precisely as predicted by theory maximizing information transfer with minimal wiring costs. © 2012 Gallos, Sigman and Makse.
publishDate 2012
dc.date.none.fl_str_mv 2012-05
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/11336/78221
Gallos, Lazaros K.; Sigman, Mariano; Makse, Hernán Alejandro; The conundrum of functional brain networks: Small-world efficiency or fractal modularity; Frontiers Editorial; Frontiers in Physiology; 3; 123; 5-2012; 1-9
1664-042X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/78221
identifier_str_mv Gallos, Lazaros K.; Sigman, Mariano; Makse, Hernán Alejandro; The conundrum of functional brain networks: Small-world efficiency or fractal modularity; Frontiers Editorial; Frontiers in Physiology; 3; 123; 5-2012; 1-9
1664-042X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.3389/fphys.2012.00123
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 Frontiers Editorial
publisher.none.fl_str_mv Frontiers Editorial
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
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score 13.22299

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