| Issue |
BIO Web Conf.
Volume 76, 2023
I International Conference “Biotechnologies in the Context of Human Development” (BCHD - 2023)
|
|
|---|---|---|
| Article Number | 01012 | |
| Number of page(s) | 11 | |
| Section | Biotechnologies and Modern Medical Technologies | |
| DOI | https://doi.org/10.1051/bioconf/20237601012 | |
| Published online | 20 November 2023 | |
Interhemisphere asymmetry of the dominant frequency of electroencephalogram rhythms with age
Kadyrov Chechen State University, Grozny, Russia
* Corresponding author: magomedova1204@mail.ru
The work investigated the asymmetry of the dominant frequency of electroencephalography (EEG) rhythms in the two hemispheres of the brain. Three age periods were studied: 16-20, 21-35 and 35-60 years. The study of the dominant frequency was carried out in general groups and separately in males and females. Students, additional education students and university staff were recruited as subjects. The dominant frequency of EEG rhythms was studied using a Neuron-Spectrum 1 electroencephalograph in eight monopolar leads. Electrodes were applied to the scalp according to the international “10-20%” system. The subjects’ electroencephalograms were recorded in a state of wakefulness with their eyes closed. The dominant frequency of five EEG rhythms was studied: alpha, beta1, beta2, theta and delta rhythms. It was revealed that at different age periods in general groups there is asymmetry in individual EEG rhythms. In addition, when studying males and females separately, asymmetry in the dominant frequency is observed in them at different age periods. Our data indicate a possible asymmetry in the electrical activity of the cerebral hemispheres in humans aged 16 to 60 years.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.