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Journal of Education, Health and Sport

Network semantic-topological model of electrogenesis
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Network semantic-topological model of electrogenesis

Authors

  • B. Lobasyuk І. I. Mechnikov Odessa National University
  • L. Bartsevich Odessa Regional Medical Center of Mental Health
  • A. Zamkova Odesa National Medical University

DOI:

https://doi.org/10.12775/JEHS.2023.13.05.015

Keywords

different regression, polycyclic multigraphs, limits of one rhythm, limits of one lead

Abstract

A network semantic-topological model of electrogenesis is proposed. This line of research can be considered as network neurophysiology. When building the model, using the calculation of multiple linear regression coefficients, we studied the interactions (functional relationship) between the amplitudes of EEG rhythms in the entire lead between different EEG rhythms and within the same rhythm between different EEG leads in right-handed and left-handed. Multiple regression equations were geometrically interpreted using polycyclic multigraphs. As a result of the conducted research and calculations, it turned out that left-handed people have more multiple regression coefficients, both when calculating within the limits of a complete lead between different EEG rhythms, and within the limits of one rhythm between different EEG leads. It is assumed that the central-parietal leads C3-P3 are the center of influence of generators of various EEG rhythms in the left hemisphere, both in right-handed and left-handed people. The obtained results indicate that beta-LF and beta-HF rhythms are the control integrative rhythms of electrogenesis in right-handed people in the left hemisphere and in left-handed people in both hemispheres. The controlling integrative rhythm in right-handed people in the left hemisphere is the delta rhythm.

References

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Bitenskiy. B.C.. Lobasyuk B.A.. Bodelan M.I. Neyropsikhologiya i neyropsikhiatriya (issledovaniye parallelizma psi-khicheskikh fenomenov i elektrofiziologii mozga) (K voprosu o edinitse psikhicheskoy deyatelnosti) «Vіsnik psikhіatriії ta psikhofarmakologії. №1 (17). 2010. S.7-11

Lobasyuk B.A. Sistemnyye neyrofiziologicheskiye2 mekhanizmy elektrogeneza golovnogo mozga/–Odessa. KhGEU. 2010.- 442 s.

Listing I.B. Predvaritelnyye issledovaniya po topologii. (Vorstudien zur topologie. 1848). Perevod s nemetskogo pod redaktsiyey i s predisloviyem E.Kolmana. (Moskva - Leningrad: Gostekhizdat. 1932. - Klassiki estestvoznaniya). 156 s.

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Gasser T.. Jennen-Steinmetz Ch.. Verleger R.. EEG coherence at rest and during a visual task in two groups of children Electroencephalography and Clinical Neurophysiology. Volume 67. Issue 2. 1987. P. 151-158

Khazi M.. Kumar A.. Dept V. M. Analysis of EEG Using 10:20 Electrode System. International Journal of Innovative Research in Science. Engineering and Technology Vol. 1. Issue 2. 2012.

Lobasyuk B. A.. Bartsevich L. B.. Zamkovaya A. V. Application of multiple regression analysis to study the relationship between eeg rhythms at persons with mental retardation. Journal of Education. Health and Sport. 2022;12(2):232-248. eISSN 2391-8306. DOI http://dx.doi.org/10.12775/JEHS.2022.12.02.025

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Published

2023-05-31

How to Cite

1.
LOBASYUK, B., BARTSEVICH, L. and ZAMKOVA, A. Network semantic-topological model of electrogenesis. Journal of Education, Health and Sport. Online. 31 May 2023. Vol. 13, no. 5, pp. 105-115. [Accessed 27 December 2025]. DOI 10.12775/JEHS.2023.13.05.015.
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Issue

Vol. 13 No. 5 (2023)

Section

Research Articles

License

Copyright (c) 2023 B. Lobasyuk, L. Bartsevich, A. Zamkova

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

The periodical offers access to content in the Open Access system under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0

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