The use of Flicker-Noise Spectroscopy in the diagnosis of photosensitive epilepsy based on the analysis of human magnetoencephalograms

In this paper, we show that the use of Flicker-Noise Spectroscopy, one of the approaches of data science, allows establishing the features of pathological bioelectric brain activity in case of photosensitive epilepsy. We analyze magnetoencephalogram recorded under the influence of flickering color stimuli on a patient with photosensitive epilepsy and a group of healthy volunteers. In earlier studies of the authors, diagnostic criteria for photosensitive epilepsy were established, which are primarily associated with breaking of frequency-phase synchronization in certain areas of cerebral cortex. Further studies of cross-correlations based on the Flicker-Noise Spectroscopy made it possible to establish that disturbances of frequency-phase synchronization in patient signals are associated not only with the appearance of high-frequency components (50 ÷ 100 Hz) in the power spectra of individual signals, but also with deformation of two-parameter 3D cross-correlators. The discovered patterns make it possible to determine the principles for diagnosing this pathology, as well as to suggest methods for assessing the effectiveness of the therapeutic effects.