A paradigm for epileptic seizure prediction using a coupled oscillator model of the brain.

This paper presents a novel theoretical paradigm for epileptic seizure prediction based on a coupled oscillator model of brain dynamics. This model is used to investigate prediction methods capable of tracking the synchronization changes that may lead to a seizure. Previous results indicate that state-space reconstruction of a coupled oscillator model from an EEG-like signal is ill-posed, therefore, monitoring system synchronization via the EEG signal is unlikely to give advanced warning of imminent seizure activity.