Controlling epileptic seizures EEG with a dynamic neural population model

Abstract

In this study a dynamic neural population model between brain stem, cortex and thalamus circuits is established on mesoscopic level using Matlab/Simulink. The electric activities in brain circuits are simulated with the model output. The output signals are the derivatives of postsynaptic potentials from thalamus, which are reflected in EEG for both normal and epileptic seizures cases. The epileptic seizures EEG are simulated and then controlled to normal level in the model via an added perturbation to the cortex or sensory. Because the brain activity is naturally chaotic, the correlation dimension of the output signal is used to test the brainstem dysfunction.