2023 / 03

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DOI: 10.47183/mes.2023.028

ORIGINAL RESEARCH

Features of bioelectric activity of the retrosplenial cortex

Gulyaev SA1,2, Khanukhova LM2, Garmash AA1
About authors

1 Institute for Physics and Engineering in Biomedicine, National Research Nuclear University MEPhI, Moscow, Russia

2 La Salute Clinic, Moscow, Russia

Correspondence should be addressed: Sergey A. Gulyaev
Ramenki, 31, k. 136, Moscow, 119607, Russia; moc.liamg@37veaylug.s

About paper

Author contributions: Gulyaev SA — study concept, clinical neurophysiological assessment, statistical analysis of the results; Khanukhova LM — research organization; Garmash AA — general management.

Compliance with ethical standards: the study was approved by the Ethics Committee of the National Research Nuclear University MEPhI (protocol № 05/23 of 25 May 2023) and conducted in accordance with the principles of biomedical ethics set out in the Declaration of Helsinki (1964) and its subsequent updates.

Received: 2023-06-27 Accepted: 2023-09-04 Published online: 2023-09-25
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Table 1. Pairwise comparison of the alpha activity frequency characteristics (Hz) in occipital and parietal areas in the relaxed wakefulness state in the sitting position (observation № 1) and in the relaxed wakefulness state when lying down before falling asleep (observation № 2) (Student's t-test, KS-test norm < 0.01)
Table 2. Pairwise comparison of the alpha activity frequency characteristics (Hz) in occipital and parietal areas in the relaxed wakefulness state in the sitting position (observation № 1) and in the relaxed wakefulness state when lying down before falling asleep (observation № 2) in individuals under the age of 30 years (Student's t-test, KS-test norm < 0.01)
Table 3. Pairwise comparison of the alpha activity frequency characteristics (Hz) in occipital and parietal areas in the relaxed wakefulness state in the sitting position (observation № 1) and in the relaxed wakefulness state when lying down before falling asleep (observation № 2) in individuals over the age of 30 years (Student's t-test, KS-test norm < 0,01)
Table 4. The data on the rate of EEG activity recording (%) over certain Brodmann fields acquired by solving the EEG inverse problem for the model of eight individual EEG microstates in the general group (Wilcoxon signed-rank test, KS-test norm > 0.5)
Table 5. Age-related features of the rate of EEG activity recording (%)over certain Brodmann fields acquired by solving the EEG inverse problem for the model of eight individual EEG microstates in various age groups (Wilcoxon signed-rank test, KS-test norm > 0.5)