title: Nonlinear EEG analysis in epilepsy: its possible use for interictal focus localization, seizure anticipation, and prevention.
abstract: Several recent studies emphasize the high value of nonlinear EEG analysis particularly for improved characterization of epileptic brain states. In this review the authors report their work to increase insight into the spatial and temporal dynamics of the epileptogenic process. Specifically, they discuss possibilities for seizure anticipation, which is one of the most challenging aspects of epileptology. Although there are numerous studies exploring basic neuronal mechanisms that are likely to be associated with seizures, to date no definite information is available regarding how, when, or why a seizure occurs. Nonlinear EEG analysis now provides strong evidence that the interictal-ictal state transition is not an abrupt phenomenon. Rather, findings indicate that it is indeed possible to detect a preseizure phase. The unequivocal definition of such a state with a sufficient length would enable investigations of basic mechanisms leading to seizure initiation in humans, and development of adequate seizure prevention strategies.
authors.affiliation: Department of Epileptology and Institute for Radiation and Nuclear Physics, University of Bonn, Germany.
authors.forename: K
authors.initials: K
authors.lastname: Lehnertz
authors.forename: R G
authors.initials: RG
authors.lastname: Andrzejak
authors.forename: J
authors.initials: J
authors.lastname: Arnhold
authors.forename: T
authors.initials: T
authors.lastname: Kreuz
authors.forename: F
authors.initials: F
authors.lastname: Mormann
authors.forename: C
authors.initials: C
authors.lastname: Rieke
authors.forename: G
authors.initials: G
authors.lastname: Widman And
authors.forename: C E
authors.initials: CE
authors.lastname: Elger
mesh_terms: D000818:Animals; D002540:Cerebral Cortex / Q000503:physiopathology; D004569:Electroencephalography; D004828:Epilepsies, Partial / Q000175:diagnosis* / Q000503:physiopathology; D006801:Humans; D009474:Neurons / Q000502:physiology; D017711:Nonlinear Dynamics; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted