Welcome to the UPF Digital Repository

Mesoscopic segregation of excitation and inhibition in a brain network model

Show simple item record

dc.contributor.author Malagarriga, Daniel
dc.contributor.author Villa, Alessandro E. P.
dc.contributor.author García Ojalvo, Jordi
dc.contributor.author Pons, Antonio J.
dc.date.accessioned 2016-01-27T18:40:12Z
dc.date.available 2016-01-27T18:40:12Z
dc.date.issued 2015
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.1004007
dc.identifier.issn 1553-734X
dc.identifier.uri http://hdl.handle.net/10230/25673
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.
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/pdf
dc.language.iso eng
dc.publisher Public Library of Science (PLoS)
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.
dc.rights.uri http://creativecommons.org/licenses/by/4.0/
dc.subject.other Cervell -- Fisiologia
dc.subject.other Neurologia
dc.title Mesoscopic segregation of excitation and inhibition in a brain network model
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.1371/journal.pcbi.1004007
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion

This item appears in the following Collection(s)

Show simple item record

Search DSpace

Advanced Search


My Account


Compliant to Partaking