Stable characteristics of the oscillatory structure in brain electrical activity during sleep
Mikhail Yu. Novikov,1, Margarita A. Popova,1,2, Maksim. O. Zhuravlev,1,2
1 Saratov State Medical University, Saratov, Russia
2 Saratov State University, Saratov, Russia
Abstract
In this paper, we demonstrate the use of the approach of quantitative estimates of oscillatory patterns on electroencephalograms (EEG) of healthy adult patients and patients with cognitive dysfunctions. Our study involved volunteers from among the patients of the S.R. Mirotvortsev Clinical Hospital (Saratov, Russian Federation) who underwent a polysomnographic study. Mathematical processing of EEG data was carried out over the entire recording of a night's sleep without dividing it into stages. We evaluated two parameters of oscillatory patterns – their duration and number in a sliding time window with a duration of 10 seconds. The characteristics were identified in which the groups of patients divided by MoCA indicators showed statistical differences. At the same time, the analysis of hypnograms of polysomnographic records did not reveal statistically significant differences in the duration / number of stages, as well as the structure of sleep.
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Mikhail Yu. Novikov
Saratov State Medical University
Russia
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