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

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 thr...

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Detalles Bibliográficos
Autores principales:	Sigman, Mariano, Makse, Hernan
Publicado:	2012
Materias:	Brain functional networks fMRI Fractal networks Modularity Percolation Small-world
Acceso en línea:	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_1664042X_v3MAY_n_p_Gallos http://hdl.handle.net/20.500.12110/paper_1664042X_v3MAY_n_p_Gallos
Aporte de:	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

id	paper:paper_1664042X_v3MAY_n_p_Gallos
record_format	dspace
spelling	paper:paper_1664042X_v3MAY_n_p_Gallos2023-06-08T16:25:56Z The conundrum of functional brain networks: Small-world efficiency or fractal modularity Sigman, Mariano Makse, Hernan Brain functional networks fMRI Fractal networks Modularity Percolation Small-world 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:Sigman, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Makse, H.A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2012 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_1664042X_v3MAY_n_p_Gallos http://hdl.handle.net/20.500.12110/paper_1664042X_v3MAY_n_p_Gallos
institution	Universidad de Buenos Aires
institution_str	I-28
repository_str	R-134
collection	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic	Brain functional networks fMRI Fractal networks Modularity Percolation Small-world
spellingShingle	Brain functional networks fMRI Fractal networks Modularity Percolation Small-world Sigman, Mariano Makse, Hernan The conundrum of functional brain networks: Small-world efficiency or fractal modularity
topic_facet	Brain functional networks fMRI Fractal networks Modularity Percolation Small-world
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.
author	Sigman, Mariano Makse, Hernan
author_facet	Sigman, Mariano Makse, Hernan
author_sort	Sigman, Mariano
title	The conundrum of functional brain networks: Small-world efficiency or fractal modularity
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	conundrum of functional brain networks: small-world efficiency or fractal modularity
publishDate	2012
url	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_1664042X_v3MAY_n_p_Gallos http://hdl.handle.net/20.500.12110/paper_1664042X_v3MAY_n_p_Gallos
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The conundrum of functional brain networks: Small-world efficiency or fractal modularity

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