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A seizure disorder can be explained as a brain that has lost stability. People with seizures can regulate and stabilize their brains through neurofeedback training. Eighteen well-run research studies show how effective neurofeedback training can be in the reduction of seizures. Interestingly, this research began with studies performed on cats. In an experiment to determine neurofeedback’s effectiveness to combat seizures, it was found that cats with neurofeedback training, when exposed to a chemical, experienced far fewer seizures than those without the training.
A model of feedback control for the charge-balanced suppression of epileptic seizures
Beth A. Lopour and Andrew J. Szericorresponding Journal of Computational Neuroscience, (2010)
Abstract Here we present several refinements to a model of feedback control for the suppression of epileptic seizures. We utilize a stochastic partial differential equation (SPDE) model of the human cortex. First, we verify the strong convergence of numerical solutions to this model, paying special attention to the sharp spatial changes that occur at electrode edges. This allows us to choose appropriate step sizes for our simulations; because the spatial step size must be small relative to the size of an electrode in order to resolve its electrical behavior, we are able to include a more detailed electrode profile in the simulation. Then, based on evidence that the mean soma potential is not the variable most closely related to the measurement of a cortical surface electrode, we develop a new model for this. The model is based on the currents flowing in the cortex and is used for a simulation of feedback control. The simulation utilizes a new control algorithm incorporating the total integral of the applied electrical potential. Not only does this succeed in suppressing the seizure-like oscillations, but it guarantees that the applied signal will be charge-balanced and therefore unlikely to cause cortical damage.