High-Density Exploration of Activity States in a Multi-Area Brain Model - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Neuroinformatics Année : 2024

High-Density Exploration of Activity States in a Multi-Area Brain Model

High-Density Exploration of Activity States in a Multi-Area Brain Model.

Résumé

Abstract To simulate whole brain dynamics with only a few equations, biophysical, mesoscopic models of local neuron populations can be connected using empirical tractography data. The development of mesoscopic mean-field models of neural populations, in particular, the Adaptive Exponential (AdEx mean-field model), has successfully summarized neuron-scale phenomena leading to the emergence of global brain dynamics associated with conscious (asynchronous and rapid dynamics) and unconscious (synchronized slow-waves, with Up-and-Down state dynamics) brain states, based on biophysical mechanisms operating at cellular scales (e.g. neuromodulatory regulation of spike-frequency adaptation during sleep-wake cycles or anesthetics). Using the Virtual Brain (TVB) environment to connect mean-field AdEx models, we have previously simulated the general properties of brain states, playing on spike-frequency adaptation, but have not yet performed detailed analyses of other parameters possibly also regulating transitions in brain-scale dynamics between different brain states. We performed a dense grid parameter exploration of the TVB-AdEx model, making use of High Performance Computing. We report a remarkable robustness of the effect of adaptation to induce synchronized slow-wave activity. Moreover, the occurrence of slow waves is often paralleled with a closer relation between functional and structural connectivity. We find that hyperpolarization can also generate unconscious-like synchronized Up and Down states, which may be a mechanism underlying the action of anesthetics. We conclude that the TVB-AdEx model reveals large-scale properties identified experimentally in sleep and anesthesia.

Dates et versions

hal-04415427 , version 1 (24-01-2024)

Identifiants

Citer

David Aquilué-Llorens, Jennifer S. Goldman, Alain Destexhe. High-Density Exploration of Activity States in a Multi-Area Brain Model. Neuroinformatics, 2024, 22 (1), pp.75-87. ⟨10.1007/s12021-023-09647-1⟩. ⟨hal-04415427⟩
17 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More