Epilelptiform coritcal activity - EEG simulations

Source-space brain activity was generated using a physiologically-grounded computational model, named COALIA. It generates brain-scale electrophysiology activity while accounting for the macro- (between regions) as well as the micro-circuitry (within a single region) of the brain (for details, see [1]).

We considered a scenario inspired from a general scheme of the organization of human partial seizures presented in [2], and proposing the existence of an epileptogenic subnetwork as well as a propagation subnetwork. In the present study, the two subnetworks were located in the left hemisphere. The epileptogenic subnetwork included four cortical regions: the rostral middle frontal gyrus, pars opercularis, pars triangularis, and pars orbitalis; the propagation subnetwork included the supramarginal, banks superior temporal sulcus, and transverse temporal cortex. Regions affiliations were based on the Desikan-Killiany atlas [3]. Epileptiform activity was generated in the epileptogenic and propagation subnetworks, while background activity was assigned to the remaining cortical regions. All sources belonging to a single patch were synchronized at a zero lag, while a delay of 30 ms was introduced between the two subnetworks to reflect the propagation of spikes between relatively distant regions in the brain. A timeseries of ~6 min at 2048 Hz was simulated. Scalp EEG can be estimated by solving the forward problem

Citation:

Allouch, S., M. Yochum, A. Kabbara, J. Duprez, M. Khalil, F. Wendling, M. Hassan, and J. Modolo. 2022. “Mean-Field Modeling of Brain-Scale Dynamics for the Evaluation of EEG Source-Space Networks.” Brain Topography 35 (1): 54–65.

References:

[1] Bensaid, S., Modolo, J., Merlet, I., Wendling, F., & Benquet, P. (2019). COALIA: A Computational Model of Human EEG for Consciousness Research. Frontiers in Systems Neuroscience, 13, 1–18. https://doi.org/10.3389/fnsys.2019.00059

[2] Bartolomei, F., Guye, M., & Wendling, F. (2013). Abnormal binding and disruption in large scale networks involved in human partial seizures. EPJ Nonlinear Biomedical Physics, 1(4), 1–16. https://doi.org/10.1140/epjnbp11 

[3] Desikan, R. S., Ségonne, F., Fischl, B., Quinn, B. T., Dickerson, B. C., Blacker, D., … Killiany, R. J. (2006). An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest. NeuroImage, 31, 968–980. https://doi.org/10.1016/j.neuroimage.2006.01.021