title: Stochastic qualifiers of epileptic brain dynamics.
abstract: We evaluate the capability of reconstructing Fokker-Planck equations for an improved characterization of electroencephalographic (EEG) recordings from epilepsy patients. We derive stochastic qualifiers of brain dynamics that are based on specific characteristics of the Kramers-Moyal coefficients estimated from the EEG. Analyzing long-lasting multichannel EEG recordings from eight patients suffering from focal epilepsies we show that particularly the stochastic part of the dynamics can yield valuable information for diagnostic purposes.
authors.affiliation: Department of Epileptology, Neurophysics Group, University of Bonn, Sigmund-Freud-Strasse 25, D-53105 Bonn, Germany. jprusseit@gmx.de
authors.forename: Jens
authors.initials: J
authors.lastname: Prusseit
authors.forename: Klaus
authors.initials: K
authors.lastname: Lehnertz
mesh_terms: D000465:Algorithms; D001921:Brain / Q000503:physiopathology*; D004569:Electroencephalography / Q000706:statistics & numerical data*; D004828:Epilepsies, Partial / Q000503:physiopathology*; D006801:Humans; D008390:Markov Chains; D015233:Models, Statistical; D013269:Stochastic Processes