Neural mass model

Coherent oscillations of neural activity are ubiquitous across brain spatial and temporal scales and have been associated with the formation of sensory or behavioral representations [1]. Refined experimental techniques report today a new complexity of this oscillatory activity, especially in the gamma (30-100 Hz) band. Indeed, the frequency of these oscillations shows a large variability through time [2], questioning the classical view of γ oscillations being separated into different frequency bands. Oscillations appear instead in bursts characterised by rapid, synchronous neuronal firing. Thi

…reduction, often referred to as the “neural mass model” in the literature (Montbrio et al, PRX, 2015). We first analyse a sin

Dynamic Causal Modeling (DCM) is commonly used for identifying neural circuit models from neuroimaging data to deduce causal neural interactions (Penny et al., 2011). Although previous studies have applied DCM to decision-making tasks, it is unclear whether DCM can reveal multistable dynamic states associated with choices (Wong and Wang, 2006). Here, we developed a two-column cortical fully self-feedback neural mass model (FSM) comprising two excitatory and one inhibitory neural populations, and inputs to both inhibitory and excitatory populations (Roach et al., 2023) with lateral connections

…Here, we present a new neural mass model that accounts for neuroplasticity and that is used to investigate the possible mechanisms underlying the epileptogenic network expansion. We formulate physiological calcium-mediated synaptic plasticity and pathological structural plasticity in a multiple-timescale frame

…workflows that aims to simulate and model the dynamics of the human brain. Personalized brain network modelling in epilepsy has demonstrated its predictive power [1] and is being systematically evaluated in the prospective large-scale clinical trial EPINOV for epilepsy surgery. Here we aim to adopt and translate the approach for studying Parkinson's disease. In this context, we aim to create a model within the simulated environment of The Virtual Brain (TVB) that reflects how neuromodulators influence the ele

…in a whole-brain corticothalamic neural mass model endowed with targeted and diffusely projecting thalamocortical nuclei inferred from empirical data. This model captures key features seen in propofol anesthesia, including diminished network integration, lowered state diversity, impaired susceptibility to perturbation, and decreased corticoc