Autor según el artículo: Manlio de Domenico; Shuntaro Sasai; Alex Arenas
Departamento: Enginyeria Informàtica i Matemàtiques
Autor/es de la URV: DE DOMENICO ., MANLIO; Shuntaro Sasai; ARENAS MORENO, ALEJANDRO
Palabras clave: Brain fMRI schizophrenia Multiplex hubs
Resumen: Typical brain networks consist of many peripheral regions and a few highly central ones, i.e., hubs, playing key functional roles in cerebral inter-regional interactions. Studies have shown that networks, obtained from the analysis of specific frequency components of brain activity, present peculiar architectures with unique profiles of region centrality. However, the identification of hubs in networks built from different frequency bands simultaneously is still a challenging problem, remaining largely unexplored. Here we identify each frequency component with one layer of a multiplex network and face this challenge by exploiting the recent advances in the analysis of multiplex topologies. First, we show that each frequency band carries unique topological information, fundamental to accurately model brain functional networks. We then demonstrate that hubs in the multiplex network, in general different from those ones obtained after discarding or aggregating the measured signals as usual, provide a more accurate map of brain's most important functional regions, allowing to distinguish between healthy and schizophrenic populations better than conventional network approaches.
Grupo de investigación: Algorithms embedded in Physical Systems
Áreas temáticas: Computer engineering Ingeniería informática Enginyeria informàtica
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 1662-453X
Identificador del autor: 0000-0001-5158-8594; 0000-0002-9941-6510; 0000-0003-0937-0334
Fecha de alta del registro: 2016-09-21
Volumen de revista: 10
Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
Enlace a la fuente original: http://journal.frontiersin.org/article/10.3389/fnins.2016.00326/full
DOI del artículo: 10.3389/fnins.2016.00326
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2016
Página inicial: Art. num. 326
Tipo de publicación: Article Artículo Article
Repositori URV