Nonlinear Phenomena in Complex Systems, 2015, Vol.18, No.2, pp.230-235

NONLINEAR PHENOMENA IN COMPLEX SYSTEMS
An Interdisciplinary Journal

2015, Vol.18, No.2, pp.230-235

How Analyzing the Interictal EEG Can Identify the Epilepsy
O. Yu. Panischev, S. A. Demin, S. N. Panischeva, J. Bhattacharya

Here we demonstrate a capability of a method based on the Flicker-Noise Spectroscopy (FNS) in analyzing the epilepsy manifestation in interictal EEG. Generally the seizure free EEG from epileptic patient does not show visual differences from healthy EEG. Analyzing the behavior of FNS-parameters and the structure of 3D-cross correlators allows to discover the differential characteristics of epilepsy. The cerebral cortex electric activity of epilepsy patients have a specific collective dynamics and configuration of FNS-characteristics in comparison with healthy subjects.

Key words: time series analysis, synchronization effects, interictal EEG, flicker-noise spectroscopy

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