Parameter estimation in a whole-brain network model of epilepsy: Comparison of parallel global optimization solvers
Fig 3
Best solutions obtained by SaCeSS using 12 processors for deterministic VEP model with strong coupling at source and sensor levels (problems 3 and 4).
A) The simulated fast activities across brain regions at source level used for optimization. Due to strong coupling, the seizure propagates from epileptogenic zone (in red) to other brain regions (in yellow). (B) The phase-plane displayed both the actual and predicted trajectories for three node categories as EZ, PZ, and HZ. (C) The simulated SEEG signals at the sensor level. (D) The confusion matrix that illustrates 100% accuracy for the estimation based on SEEG signals.