Computatonal NeuroscienceAnticipating epileptic seizures in real time by a non-linear analysis of similarity between EEG recordingsVan Quyen, M Le1,2; Martinerie, J1; Baulac, M1; Varela, F1Author Information 1Laboratoire de Neurosciences Cognitives et Imagerie Cérébrale (CNRS UPR 640) and Unité D'epileptologie, Hôpital de la Salpêtrière, 47 Blvd. De L'hoôpital, 75651 Paris Cedex 13, France 2Corresponding Author: M. Le Van Quyen Received 12 April 1999; accepted 17 May 1999 ACKNOWLEDGEMENTS: The support of Human Science Program (RG-92/97) and the Ligue Francaise Contre I'Epilepsie is gratefully acknowledged. We also thank Claude Adam for his help in providing the data used in this study. NeuroReport: July 13th, 1999 - Volume 10 - Issue 10 - p 2149-2155 Buy Abstract IN a previous publication we showed that non-linear analysis can extract spatio-temporal changes of brain electrical activity prior to epileptic seizures. Here we describe a new method to analyze this long-term nonstationarity in the EEG by a measure of dynamical similarity between different parts of the time series. We apply this method to the study of a group of patients with temporal lobe epilepsy recorded intracranially during transitions to seizure. We show that the method, which can be implemented on a personal computer, can track in real time spatio-temporal changes in brain dynamics several minutes prior to seizure. © 1999 Lippincott Williams & Wilkins, Inc.