title: Seizure prediction by non-linear time series analysis of brain electrical activity.
abstract: 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.
authors.affiliation: University Clinic of Epileptology, Bonn, Germany. elger@jersey.meb.uni-bonn.de
authors.forename: C E
authors.initials: CE
authors.lastname: Elger
authors.forename: K
authors.initials: K
authors.lastname: Lehnertz
mesh_terms: D000293:Adolescent; D000328:Adult; D001921:Brain / Q000503:physiopathology*; D004569:Electroencephalography; D004594:Electrophysiology; D004833:Epilepsy, Temporal Lobe / Q000175:diagnosis / Q000503:physiopathology; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D017711:Nonlinear Dynamics; D012640:Seizures / Q000175:diagnosis* / Q000503:physiopathology