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Computatonal Neuroscience

Anticipating epileptic seizures in real time by a non‐linear analysis of similarity between EEG recordings

Van Quyen, M Le1,2; Martinerie, J1; Baulac, M1; Varela, F1

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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.


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