title: Spatio-temporal dynamics prior to neocortical seizures: amplitude versus phase couplings.
abstract: The mechanisms underlying the transition of brain activity toward epileptic seizures remain unclear. Based on nonlinear analysis of both intracranial and scalp electroencephalographic (EEG) recordings, different research groups have recently reported dynamical smooth changes in epileptic brain activity several minutes before seizure onset. Such preictal states have been detected in populations of patients with mesial temporal lobe epilepsy (MTLE) and, more recently, with different neocortical partial epilepsies (NPEs). In this paper, we are particularly interested in the spatio-temporal organization of epileptogenic networks prior to seizures in neocortical epilepsies. For this, we characterize the network of two patients with NPE by means of two nonlinear measures of interdependencies. Since the synchronization of neuronal activity is an essential feature of the generation and propagation of epileptic activity, we have analyzed changes in phase synchrony between EEG time series. In order to compare the phase and amplitude dynamics, we have also studied the degree of association between pairs of signals by means of a nonlinear correlation coefficient. Recent findings have suggested changes prior to seizures in a wideband frequency range. Instead, for the examples of this study, we report a significant decrease of synchrony in the focal area several minutes before seizures (>>30 min in both patients) in the frequency band of 10-25 Hz mainly. Furthermore, the spatio-temporal organization of this preictal activity seems to be specifically related to this frequency band. Measures of both amplitude and phase coupling yielded similar results in narrow-band analysis. These results may open new perspectives on the mechanisms of seizure emergence as well as the organization of neocortical epileptogenic networks. The possibility of forecasting the onset of seizures has important implications for a better understanding, diagnosis and a potential treatment of the epilepsy.
authors.affiliation: Laboratoire de Neurosciences Cognitives et Imagerie Cérébrale (LENA), CNRS-UPR 640 (Hôpital de la Salpêtrière), Paris, 76651 Cedex 13, France. mario.chavez@chups.jussieu.fr
authors.forename: Mario
authors.initials: M
authors.lastname: Chávez
authors.forename: Michel
authors.initials: M
authors.lastname: Le Van Quyen
authors.forename: Vincent
authors.initials: V
authors.lastname: Navarro
authors.forename: Michel
authors.initials: M
authors.lastname: Baulac
authors.forename: Jacques
authors.initials: J
authors.lastname: Martinerie
mesh_terms: D000328:Adult; D000465:Algorithms; D001931:Brain Mapping / Q000379:methods; D004569:Electroencephalography / Q000379:methods*; D004827:Epilepsy / Q000175:diagnosis / Q000503:physiopathology; D005583:Fourier Analysis; D006801:Humans; D008297:Male; D008959:Models, Neurological; D019579:Neocortex / Q000503:physiopathology*; D009415:Nerve Net; D017711:Nonlinear Dynamics; D012640:Seizures / Q000175:diagnosis / Q000503:physiopathology*; D012815:Signal Processing, Computer-Assisted; D013223:Statistics as Topic