Author, as appears in the article.: Manlio de Domenico; Shuntaro Sasai; Alex Arenas
Department: Enginyeria Informàtica i Matemàtiques
URV's Author/s: DE DOMENICO ., MANLIO; Shuntaro Sasai; ARENAS MORENO, ALEJANDRO
Keywords: Brain fMRI schizophrenia Multiplex hubs
Abstract: 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.
Research group: Algorithms embedded in Physical Systems
Thematic Areas: Computer engineering Ingeniería informática Enginyeria informàtica
licence for use: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 1662-453X
Author identifier: 0000-0001-5158-8594; 0000-0002-9941-6510; 0000-0003-0937-0334
Record's date: 2016-09-21
Journal volume: 10
Papper version: info:eu-repo/semantics/publishedVersion
Link to the original source: http://journal.frontiersin.org/article/10.3389/fnins.2016.00326/full
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Article's DOI: 10.3389/fnins.2016.00326
Entity: Universitat Rovira i Virgili
Journal publication year: 2016
First page: Art. num. 326
Publication Type: Article Artículo Article