Mostrar el registro sencillo del ítem
dc.contributor.author
Gallos, Lazaros K.
dc.contributor.author
Sigman, Mariano
dc.contributor.author
Makse, Hernán Alejandro
dc.date.available
2019-06-13T16:50:12Z
dc.date.issued
2012-05
dc.identifier.citation
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
dc.identifier.issn
1664-042X
dc.identifier.uri
http://hdl.handle.net/11336/78221
dc.description.abstract
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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Frontiers Editorial
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Brain Functional Networks
dc.subject
Fmri
dc.subject
Fractal Networks
dc.subject
Modularity
dc.subject
Percolation
dc.subject
Small-World
dc.title
The conundrum of functional brain networks: Small-world efficiency or fractal modularity
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2019-06-04T20:17:52Z
dc.journal.volume
3
dc.journal.number
123
dc.journal.pagination
1-9
dc.journal.pais
Suiza
dc.journal.ciudad
Basel
dc.description.fil
Fil: Gallos, Lazaros K.. City College Of New York; Estados Unidos
dc.description.fil
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
dc.description.fil
Fil: Makse, Hernán Alejandro. Universidad de Buenos Aires; Argentina
dc.journal.title
Frontiers in Physiology
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.3389/fphys.2012.00123
Archivos asociados