Motor Cortex Connectivity & Event Related Desynchronization Based on Neural Mass Models (Ursino 21)

Knowledge of motor cortex connectivity is of great value in cognitive neuroscience, in order to provide a better understanding of motor organization and its alterations in pathological conditions. Traditional methods provide connectivity estimations which may vary depending on the task. This work aims to propose a new method for motor connectivity assessment based on the hypothesis of a task-independent connectivity network, assuming nonlinear behavior. The model considers six cortical regions of interest (ROIs) involved in hand movement. The dynamics of each region is simulated using a neural mass model, which reproduces the oscillatory activity through the interaction among four neural populations. Parameters of the model have been assigned to simulate both power spectral densities and coherences of a patient with left-hemisphere stroke during: resting condition, movement of the affected and movement of the unaffected hand. The presented model can simulate the three conditions using a single set of connectivity parameters, assuming that only inputs to the ROIs change from one condition to the other. The proposed procedure represents an innovative method to assess a brain circuit, which does not rely on a task-dependent connectivity network, and allows brain rhythms and desynchronization to be assessed on a quantitative basis.

Model Type: Neural mass; Connectionist Network; Synapse

Transmitters: Gaba; Glutamate

Simulation Environment: MATLAB

Implementer(s): Ursino, Mauro [mauro.ursino at]; Ricci, Giulia [Giulia.Ricci at]; Magosso, Elisa [elisa.magosso at]


Ursino M et al. (2021). A Novel Method to Assess Motor Cortex Connectivity and Event Related Desynchronization Based on Mass Models Brain Sciences. 11(11)

This website requires cookies and limited processing of your personal data in order to function. By continuing to browse or otherwise use this site, you are agreeing to this use. See our Privacy policy and how to cite and terms of use.