Mesoscopic segregation of excitation and inhibition in a brain network model
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- dc.contributor.author Malagarriga, Danielca
- dc.contributor.author Villa, Alessandro E. P.ca
- dc.contributor.author García Ojalvo, Jordica
- dc.contributor.author Pons, Antonio J.ca
- dc.date.accessioned 2016-01-27T18:40:12Z
- dc.date.available 2016-01-27T18:40:12Z
- dc.date.issued 2015
- dc.description.abstract Neurons in the brain are known to operate under a careful balance of excitation and inhibition, which maintains neural microcircuits within the proper operational range. How this balance is played out at the mesoscopic level of neuronal populations is, however, less clear. In order to address this issue, here we use a coupled neural mass model to study computationally the dynamics of a network of cortical macrocolumns operating in a partially synchronized, irregular regime. The topology of the network is heterogeneous, with a few of the nodes acting as connector hubs while the rest are relatively poorly connected. Our results show that in this type of mesoscopic network excitation and inhibition spontaneously segregate, with some columns acting mainly in an excitatory manner while some others have predominantly an inhibitory effect on their neighbors. We characterize the conditions under which this segregation arises, and relate the character of the different columns with their topological role within the network. In particular, we show that the connector hubs are preferentially inhibitory, the more so the larger the node's connectivity. These results suggest a potential mesoscale organization of the excitation-inhibition balance in brain networks.ca
- dc.description.sponsorship This work was supported by the Ministerio de Economia y Competividad (Spain, project FIS2012-37655-C02- 01), and by the Generalitat de Catalunya (project 2009SGR1168). JGO acknowledges support from the ICREA Academia programme. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
- dc.format.mimetype application/pdfca
- dc.identifier.citation Malagarriga D, Villa AE, Garcia-Ojalvo J, Pons AJ. Mesoscopic segregation of excitation and inhibition in a brain network model. PLoS computational biology. 2015; 11(2): e1004007. DOI 10.1371/journal.pcbi.1004007ca
- dc.identifier.doi http://dx.doi.org/10.1371/journal.pcbi.1004007
- dc.identifier.issn 1553-734X
- dc.identifier.uri http://hdl.handle.net/10230/25673
- dc.language.iso engca
- dc.publisher Public Library of Science (PLoS)ca
- dc.relation.ispartof PLoS computational biology. 2015; 11(2): e1004007
- dc.rights © 2015 Malagarriga et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are creditedprovided the original work is properly cited.ca
- dc.rights.accessRights info:eu-repo/semantics/openAccessca
- dc.rights.uri http://creativecommons.org/licenses/by/4.0/ca
- dc.subject.other Cervell -- Fisiologiaca
- dc.subject.other Neurologiaca
- dc.title Mesoscopic segregation of excitation and inhibition in a brain network modelca
- dc.type info:eu-repo/semantics/articleca
- dc.type.version info:eu-repo/semantics/publishedVersionca