Autor segons l'article: Manlio de Domenico; Shuntaro Sasai; Alex Arenas
Departament: Enginyeria Informàtica i Matemàtiques
Autor/s de la URV: DE DOMENICO ., MANLIO; Shuntaro Sasai; ARENAS MORENO, ALEJANDRO
Paraules clau: Brain fMRI schizophrenia Multiplex hubs
Resum: 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.
Grup de recerca: Algorithms embedded in Physical Systems
Àrees temàtiques: Computer engineering Ingeniería informática Enginyeria informàtica
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 1662-453X
Identificador de l'autor: 0000-0001-5158-8594; 0000-0002-9941-6510; 0000-0003-0937-0334
Data d'alta del registre: 2016-09-21
Volum de revista: 10
Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
Enllaç font original: http://journal.frontiersin.org/article/10.3389/fnins.2016.00326/full
URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
DOI de l'article: 10.3389/fnins.2016.00326
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2016
Pàgina inicial: Art. num. 326
Tipus de publicació: Article Artículo Article