Currently, no biomarkers are available to reliable measure the risk for seizure recurrence. Our aim is to develop a biomarker to determine a brain state with an increased risk of recurrent seizures. Our methodology is based on a bi-stability brain state model where a seizure is the result of a sudden critical transition from a resting brain state to an epileptic brain state. A brain state that is close to a critical transition might show certain dynamic characteristics in the Electroencephalogram (EEG), which are more easily assessed in the response to an applied perturbation such as with transcranial magnetic stimulation (TMS).
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