Structural abnormalities of brain electrical activity during night sleep in patients with obstructive apnoea syndrome.

Autor: Runnova, Anastasiya, Zhuravlev, Maksim, Orlova, Anna, Agaltsov, Michael, Drapkina, Oxana, Kiselev, Anton
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Zdroj: European Physical Journal: Special Topics; May2024, Vol. 233 Issue 3, p531-542, 12p
Abstrakt: We performed a wavelet analysis of oscillatory dynamics in brain activity of patients with obstructive sleep apnoea (OSA) ( N = 10 , age 52.8 ± 13 years, median 49 years; male/female ratio: 73), compared with a group of apparently healthy participants ( N = 15 , age 51.5 ± 29.5 years, median 42 years; malefemale ratio: 87), based on the calculation of patterns from electroencephalographic (EEG) signals of ***nighttime polysomnography (PSG) recordings. It was shown that there were no statistical differences in the number and duration of nocturnal sleep stages in patients of the two groups. The distributions of the number N and duration T of oscillatory wavelet patterns of EEG signals in bands Δ f i = [ i ; i + 2 ] , where i takes values from 2 to 38, have been estimated. Statistically significant differences in the characteristics of the distributions of the number and duration of patterns for the high-frequency bands Δ f 17 – Δ f 19 (32 – 38 Hz) are shown. It is demonstrated that estimation of the coordinates of the height and the value of the maximum point of the distribution of the considered quantitative characteristics of the patterns allows clustering of the EEG processing results and demonstrates the separation of the nocturnal sleep characteristics of OSA patients and healthy volunteers. Evaluation based on the Mann–Whitney U-test shows statistically significant differences between N and T patterns assessed from nocturnal EEG recordings. The number and duration of high-frequency patterns are significantly reduced in the EEG of OSA patients compared to essentially healthy participants. It is possible that such a change in high-frequency activity is related to known structural changes in the brain. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index
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