Mesoscopic segregation of excitation and inhibition in a brain network model

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 i...

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Detalles Bibliográficos
Autores: Malagarriga, Daniel, Villa, Alessandro E. P., García Ojalvo, Jordi, Pons, Antonio J.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2015
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10230/25673
Acceso en línea:http://hdl.handle.net/10230/25673
http://dx.doi.org/10.1371/journal.pcbi.1004007
Access Level:acceso abierto
Palabra clave:Cervell -- Fisiologia
Neurologia
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spelling Mesoscopic segregation of excitation and inhibition in a brain network modelMalagarriga, DanielVilla, Alessandro E. P.García Ojalvo, JordiPons, Antonio J.Cervell -- FisiologiaNeurologiaNeurons 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.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.Public Library of Science (PLoS)201620162015info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/25673http://dx.doi.org/10.1371/journal.pcbi.1004007reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésPLoS computational biology. 2015; 11(2): e1004007© 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.http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:recercat.cat:10230/256732026-05-29T05:05:01Z
dc.title.none.fl_str_mv Mesoscopic segregation of excitation and inhibition in a brain network model
title Mesoscopic segregation of excitation and inhibition in a brain network model
spellingShingle Mesoscopic segregation of excitation and inhibition in a brain network model
Malagarriga, Daniel
Cervell -- Fisiologia
Neurologia
title_short Mesoscopic segregation of excitation and inhibition in a brain network model
title_full Mesoscopic segregation of excitation and inhibition in a brain network model
title_fullStr Mesoscopic segregation of excitation and inhibition in a brain network model
title_full_unstemmed Mesoscopic segregation of excitation and inhibition in a brain network model
title_sort Mesoscopic segregation of excitation and inhibition in a brain network model
dc.creator.none.fl_str_mv Malagarriga, Daniel
Villa, Alessandro E. P.
García Ojalvo, Jordi
Pons, Antonio J.
author Malagarriga, Daniel
author_facet Malagarriga, Daniel
Villa, Alessandro E. P.
García Ojalvo, Jordi
Pons, Antonio J.
author_role author
author2 Villa, Alessandro E. P.
García Ojalvo, Jordi
Pons, Antonio J.
author2_role author
author
author
dc.subject.none.fl_str_mv Cervell -- Fisiologia
Neurologia
topic Cervell -- Fisiologia
Neurologia
description 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.
publishDate 2015
dc.date.none.fl_str_mv 2015
2016
2016
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/25673
http://dx.doi.org/10.1371/journal.pcbi.1004007
url http://hdl.handle.net/10230/25673
http://dx.doi.org/10.1371/journal.pcbi.1004007
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv PLoS computational biology. 2015; 11(2): e1004007
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Public Library of Science (PLoS)
publisher.none.fl_str_mv Public Library of Science (PLoS)
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
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