Mesoscopic Segregation of Excitation and Inhibition in a Brain Network Model

Details

Serval ID
serval:BIB_5FF0B530DA18
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Mesoscopic Segregation of Excitation and Inhibition in a Brain Network Model
Journal
PLOS Computational Biology
Author(s)
Malagarriga D., Villa A.E.P., Garcia-Ojalvo J., Pons A.J.
ISSN
1553-7358
Publication state
Published
Issued date
11/02/2015
Peer-reviewed
Oui
Volume
11
Number
2
Pages
e1004007
Language
english
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.
Keywords
Ecology, Modelling and Simulation, Computational Theory and Mathematics, Genetics, Ecology, Evolution, Behavior and Systematics, Molecular Biology, Cellular and Molecular Neuroscience
Pubmed
Web of science
Open Access
Yes
Create date
03/08/2017 16:52
Last modification date
20/08/2019 15:17
Usage data