Prediction of Stimulation Efficacy in Epilepsy (PRESEnCE)

Proposed project is focused on the prediction of neurostimulation methods (vagal nerve stimulation, deep brain stimulation) efficacy in patients with epilepsy. Neurostimulation leads to significant seizure reduction in approximately 50% of implanted patient. By now, we are not able to identify patients who can benefit from implantation of neurostimulator pre-operatively. We managed to develop a statistic mode, which is able to predict efficacy of vagal nerve stimulation based on routine pre-implantation EEG. This statistic model predict efficacy of vagal nerve stimulation with high sensitivity and specificity. Proposed project is based on this statistic model, we would like to develop similar model for children with implanted vagal nerve stimulator and for patients with deep brain stimulation. At the same time, we realize the necessity to verify our statistic model on independent external data set, which we supposed to be crucial for the clinical application.