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Journal of Education, Health and Sport

Application of multiple regression analysis to study the relationship between eeg rhythms at persons with mental retardation
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Application of multiple regression analysis to study the relationship between eeg rhythms at persons with mental retardation

Authors

  • B. Lobasyuk I. I. Mechnikov Odessa National University
  • L. Bartsevich Odessa Regional Medical Center for Mental Health
  • A. Zamkovaya Odessa National Medical University

DOI:

https://doi.org/10.12775/JEHS.2022.12.02.025

Keywords

mental retardation, multiple regression, polycyclic multigraphs, hemispheric differences

Abstract

Using the calculation of coefficients of multiple linear regression of two-dimensional correlation, we studied the mutual influences (functional connectivity) between the amplitudes of EEG rhythms in people with mental retardation. Multiple regression equations were geometrically interpreted using polycyclic multigraphs. As a result of the studies and calculations, it was found that in mental retardation, the number of regression coefficients of the two-dimensional correlation is determined to be greater than in the norm. In the sinistrals control group, the coefficients of multiple regression of two-dimensional correlation were determined more than in the dextrals control group. In mentally retarded sinistrals, the number of multiple regression coefficients was determined to be less than in mentally retarded dextrals, but the number of bivariate correlation coefficients was larger. The resulting increase in correlation coefficients may indicate an increase in tone in sinistrals suffering from mental retardation compared to dextrals with mental retardation. The mechanism of this increase in tone is realized by linear functions.

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Published

2022-02-28

How to Cite

1.
LOBASYUK, B., BARTSEVICH, L. and ZAMKOVAYA, A. Application of multiple regression analysis to study the relationship between eeg rhythms at persons with mental retardation. Journal of Education, Health and Sport. Online. 28 February 2022. Vol. 12, no. 2, pp. 232-248. [Accessed 17 May 2025]. DOI 10.12775/JEHS.2022.12.02.025.
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Issue

Vol. 12 No. 2 (2022)

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Research Articles

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Copyright (c) 2022 B. Lobasyuk, L. Bartsevich, A. Zamkovaya

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