Abilities and Limitations of Synchronization Indexes for Epileptic Seizure Prediction
M Winterhalder, B Schelter, T Maiwald, A Brandt, A Schulze-Bonhage, J Timmer · Klinische Neurophysiologie · 2004 · Heft 08
Bibliografische Angaben
Zusammenfassung
Multivariate time series analysis techniques applied to electroencephalography (EEG) recordings enable a detection of interactions between different brain areas. Since several neurons synchronize when a seizure is generated, multivariate time series analysis techniques might yield an increased seizure prediction performance compared to univariate ones. Based on analysis of intracranial EEG data recorded for 21 patients with 24 hours of interictal and 2–5 pre-seizure periods (mean 4.2) each, two synchronization indexes originating from the theory of non-linear dynamics are examined. We will discuss limitations of…