Seizure prediction by non‐linear time series analysis of brain electrical activity

Brain electrical activity of 16 patients with temporal lobe epilepsy, recorded intracranially during seizure‐free intervals as well as during transitions to the seizure state, was analysed using methods derived from the theory of non‐linear dynamics. Long‐lasting and marked changes towards low‐dimensional system states were found to occur specifically up to 25 min prior to epileptic seizures and allow to predict the occurrence of individual seizures in time. These findings reflect a continuous increase in the degree of synchronicity, and thus open a window for the study of mechanisms generating seizures in humans. This offers new possibilities for therapeutic interventions.

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