Abstract
Abstract An important consideration in epileptic seizure prediction is proving the existence of a pre-seizure state that can be detected using various signal processing algorithms. In the analysis of intracranial electroencephalographic (EEG) recordings of four epilepsy patients, the short-term changes in the measures of complexity and synchrony were detected before the majority of seizure events across the sample patient population. A decrease in complexity and increase in phase synchrony appeared several minutes before seizure onset and the changes were more pronounced in the focal region than in the remote region. This result was also validated statistically using a surrogate data method. * Supported by the Specialized Research Fund for the Doctoral Program of Higher Education (Grant No. 20020003031), NSFC-RGC Joint Research Fund (Grant No. 60318001) and the Key Project of Ministry of Education of the People's Republic of China (Grant No. 1041185)
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