Relationships between the neuro-endocrine parameters and virtual chakras energy and asymmetry
DOI:
https://doi.org/10.12775/JEHS.2022.12.01.020Keywords
Gas Discharge Visualization, virtual Chakras, EEG, relationshipsAbstract
Background. Earlier, we found a close correlation between EEG and gas-discharge image (GDI) parameters. The aim of this study is to analyze the relationship of EEG parameters with the energy and asymmetry of virtual chakras, reconstructed on the basis of GDI parameters. Material and Methods. We observed twice 31 women and 29 men aged 26-76 years with dysfunction of neuroendocrine-immune complex. In the morning in basal conditions at first registered GDI by the method of GDV by the device “GDV Chamber” (“Biotechprogress”, SPb, RF). Than we registered EEG. Results processed by method of canonical analysis, using the software package “Statistica 64”. Results. The coefficients of canonical correlation between the EEG parameters and virtual Chakras Energy are in the interval 0,415÷0,564 and 0,358÷0,528 when registering without a filter and with a filter, respectively. Additional inclusion of HRV and endocrine parameters increases the strength of the canonical correlation to 0,768 and 0,772, respectively. The coefficients of canonical correlation between the EEG parameters and individual virtual Chakras Asymmetry are in the interval 0,284÷0,634 and 0,152÷0,458 when registering without a filter and with a filter, respectively. Integral coefficient of the canonical correlation is 0,820. Conclusion. The above data, taken together with the previous ones, state that between parameters of neuroendocrine-immune complex and GDV exist strong canonical correlation suggesting suitability of the latter method.
References
Babelyuk VE, Gozhenko AI, Dubkova GI, Babelyuk NV, Zukow W, Kovbasnyuk MM, Popovych IL. Causal relationships between the parameters of gas discharge visualization and principal neuroendocrine factors of adaptation. Journal of Physical Education and Sport. 2017; 17(2): 624-637.
Babelyuk VYe, Popadynets’ OO, Dubkova GI, Zukow W, Muszkieta R, Gozhenko OA, Popovych IL. Entropy of gas-discharge image correlates with the entropies of EEG, immunocytogram and leukocytogram but not HRV. Pedagogy and Psychology of Sport. 2020; 6(2): 30-39.
Babelyuk VYe, Gozhenko AI, Dubkova GI, Zukow W, Hubyts’kyi VY, Ruzhylo SV, Fedyayeva SI, Kovalchuk HY, Popovych IL. Causal relationships between the parameters of gas discharge visualization and immunity. Pedagogy and Psychology of Sport. 2021; 7(1): 115-134.
Babelyuk VY, GozhenkoAI, Dubkova GI, Babelyuk NV, Zukow W, Kindzer BM, Kovbasnyuk MM, Popovych IL. Causal relationships between the parameters of gas discharge visualization and phagocytosis. Journal of Education, Health and Sport. 2021; 11(6): 268-276.
Babelyuk VY, Tserkovnyuk RG, Ruzhylo SV, Dubkova GI, Babelyuk NV, Zukow W, Popovych IL. Causal relationships between the parameters of gas discharge visualization and leukocytogram. Journal of Education, Health and Sport. 2021; 11(7): 258-269.
Babelyuk VY, Tserkovniuk RG, Babelyuk NV, Źukow X, Ruzhylo SV, Dubkova GI, Korolyshyn TA, Hubyts’kyi VY, Kikhtan VV, Gozhenko AI, Popovych IL. The parameters of gas discharge visualization (biophotonics) correlated with parameters of acupuncture points, EEG, HRV and hormones. Journal of Education, Health and Sport. 2021; 11(12): 359-373.
Balle M, Bornas X, Tortella-Feliu M, Llabrés J, Morillas-Romero A, Aguayo-Siquier B, Gelabert JM. Resting parietal EEG asymmetry and cardiac vagal tone predict attentional control. Biol Psychol. 2013; 93(2): 257–261.
Barylyak LG, Kruhliy YuZ, Zukow W, Yanchiy OR, Popovych IL. Indicators, distinctive for women with different ovarian status and different responses streslimiting effect of bioactive water Naftussya spa Truskavets’. Journal of Education, Health and Sport. 2015; 5(3): 247-258.
Chase CR. The Geometry of Emotions: Using Chakra Acupuncture and 5-Phase Theory to Describe Personality Archetypes for Clinical Use. Med Acupunct. 2018; 30(4): 167-178.
Gozhenko AI, Korda MM, Popadynets’ OO, Popovych IL. Entropy, Harmony, Synchronization and Their Neuro-endocrine-immune Correlates [in Ukrainian]. Odesa. Feniks; 2021: 232.
Korotkov KG. Basics GDV Bioelectrography [in Russian]. SPb. SPbGITMO(TU); 2001: 360.
Korotkov KG. Principles of Analysis in GDV Bioelectrography [in Russian]. SPb. Renome; 2007: 286.
Korotkov KG. Energy Fields Electrophotonic Analysis in Humans and Nature. Second updated edition. Translated from Russian by the author. Edited by Berney Williams and Lutz Rabe. 2014: 233.
Kruhliy YuZ Features of the influence of bioactive water Naftussya on the level of chronic stress in women with different ovarian status. Medical hydrology and rehabilitation. 2010; 8(4): 62-68.
Kruhliy YuZ Neuroendocrine support of polyvariant effects of Naftussya bioactive water on the level of chronic stress in women with different ovarian status. Medical hydrology and rehabilitation. 2012; 10(2): 92-96.
Miskovic V, Schmidt LA. Frontal brain electrical asymmetry and cardiac vagal tone predict biased attention to social threat. Int J Psychophysiol. 2010; 75(3): 332-338.
Popadynets’ OO, Gozhenko AI, Zukow W, Popovych IL. Relationships between the entropies of EEG, HRV, immunocytogram and leukocytogram. Journal of Education, Health and Sport. 2019; 9(5): 651-666.
Shannon CE. Works on the theory of informatics and cybernetics [transl. from English to Russian]. Moskva. Inostrannaya literatura; 1963: 329.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 Valeriy Babelyuk, Ruslan Tserkovniuk, Galyna Dubkova, Yuriy Kruhliy, Tetyana Korolyshyn, Nazariy Babelyuk, Walery Zukow, Sofiya Ruzhylo, Oksana Fihura, Anatoliy Gozhenko, Igor Popovych
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
Stats
Number of views and downloads: 403
Number of citations: 0
