Network semantic-topological model of electrogenesis

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dc.contributor.author Lobasyuk, B. A. en
dc.contributor.author Bartsevich, L. B. en
dc.contributor.author Zamkova, A. V. en
dc.date.accessioned 2023-06-27T06:12:10Z
dc.date.available 2023-06-27T06:12:10Z
dc.date.issued 2023
dc.identifier.citation Lobasyuk B. A., Bartsevich L. B., Zamkova A. V. Network semantic-topological model of electrogenesis // Journal of Education, Health and Sport. 2023. No. 13(5). P. 105–115. en
dc.identifier.uri https://repo.odmu.edu.ua:443/xmlui/handle/123456789/13240
dc.description.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 lefthanded 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 righthanded 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. en
dc.language.iso en en
dc.subject different regression en
dc.subject polycyclic multigraphs en
dc.subject limits of one rhythm en
dc.subject limits of one lead en
dc.title Network semantic-topological model of electrogenesis en
dc.type Article en


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