Features of synchronization in multichannel EEG data in patients with cognitive impairment
Margarita A. Popova,1,2, Anastasia. E. Runnova,1,2, Anton. O. Selskii,1,2
1 Saratov State Medical University, Saratov, Russia
2 Saratov State University, Saratov, Russia
Abstract
In this work, we used the wavelet bicoherence method to assess the degree of synchronisation between different channels in electroencephalogram (EEG) data from healthy adult patients and patients with cognitive dysfunction. Our study involved volunteer patients of the S.R. Mirotvortsev University Clinical Hospital (Saratov, Russian Federation) undergoing a polysomnographic study. Mathematical processing of EEG data was performed on the whole nocturnal sleep recording without division into stages. We evaluated the degree of synchronization in 6 different frequency bands. Characteristic features of synchronization for different groups of patients were identified. The analysis of polysomnographic hypnograms did not reveal statistically significant differences in the duration and number of stages, as well as in the structure of sleep itself.
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Margarita A. Popova
Saratov State Medical University
Russia
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