How local excitation-inhibition ratio impacts the whole brain dynamics.
Détails
Etat: Public
Version: Final published version
ID Serval
serval:BIB_2E5F029D5202
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
How local excitation-inhibition ratio impacts the whole brain dynamics.
Périodique
Journal of Neuroscience
ISSN
1529-2401 (Electronic)
ISSN-L
0270-6474
Statut éditorial
Publié
Date de publication
2014
Peer-reviewed
Oui
Volume
34
Numéro
23
Pages
7886-7898
Langue
anglais
Notes
Publication types: Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't Publication Status: ppublish PDF : System/Circuits
Résumé
The spontaneous activity of the brain shows different features at different scales. On one hand, neuroimaging studies show that long-range correlations are highly structured in spatiotemporal patterns, known as resting-state networks, on the other hand, neurophysiological reports show that short-range correlations between neighboring neurons are low, despite a large amount of shared presynaptic inputs. Different dynamical mechanisms of local decorrelation have been proposed, among which is feedback inhibition. Here, we investigated the effect of locally regulating the feedback inhibition on the global dynamics of a large-scale brain model, in which the long-range connections are given by diffusion imaging data of human subjects. We used simulations and analytical methods to show that locally constraining the feedback inhibition to compensate for the excess of long-range excitatory connectivity, to preserve the asynchronous state, crucially changes the characteristics of the emergent resting and evoked activity. First, it significantly improves the model's prediction of the empirical human functional connectivity. Second, relaxing this constraint leads to an unrealistic network evoked activity, with systematic coactivation of cortical areas which are components of the default-mode network, whereas regulation of feedback inhibition prevents this. Finally, information theoretic analysis shows that regulation of the local feedback inhibition increases both the entropy and the Fisher information of the network evoked responses. Hence, it enhances the information capacity and the discrimination accuracy of the global network. In conclusion, the local excitation-inhibition ratio impacts the structure of the spontaneous activity and the information transmission at the large-scale brain level.
Pubmed
Web of science
Open Access
Oui
Création de la notice
18/07/2014 18:53
Dernière modification de la notice
20/08/2019 14:12