Application of multiple regression analysis to study the relationship between eeg rhythms at persons with mental retardation
DOI:
https://doi.org/10.12775/JEHS.2022.12.02.025Keywords
mental retardation, multiple regression, polycyclic multigraphs, hemispheric differencesAbstract
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.
References
Biopotencialy mozga cheloveka. Matematicheskij analiz [Tekst] V. S. Rusinov [idr.]; red. V. S. Rusinov; Akademiya nauk SSSR. - Moskva: Medicina, 1987. – 254 s. (In Rus.)
Boldyreva G. N., Zhavoronkova L. A., Harova E.V, Dobronravova I. S. Mezh central'nye otnosheniya EEG kak otrazhenie sistemnoj organizacii mozga cheloveka v norme i patologii // Zhurn. vyssh. nervn.deyat. im. I. P. Pavlova. – 2003. – T. 53, N4.- P. 391 – 401 (In Rus.).
Boldyreva G. N., Zhavoronkova L. A., Sharova E.V., Dobronravova I. S. Elektroencefalograficheskoe mezhcentral'noe vzaimodejstvie kak otrazhenie normal'noj i patologicheskoj aktivnosti golovnogo mozga cheloveka //Span J Psychol. - 2007; 10(1):167-177 (In Rus.).
Zykov A. A.,Osnovy teorii grafov. –Moskva: Nauka, 1987. – 234 p.
Livanov M, N. Prostranstvennaya organizaciya processov golovnogo mozga. – Moskva: Nauka, 1972.- 182 p. (In Rus.)
Lobasyuk B. A. Sistemnye nejrofiziologicheskie mekhanizmy elektrogeneza golovnogo mozga. – Odessa: HGEU. 2010.- 524 s. (In Rus.).
Lukoyanov M.V., Grechihin I. S., KalyaginV. A., Pardalos P. M., Muhina I. V. Harakteristiki prostranstvennoj sinhronizacii encefalogrammu levshej i pravshej v sostoyanii pokoyai pri kognitivnom testirovanii: analiz teorii grafov. https://cyberleninka.ru/article/n/osobennosti-prostranstvennoy-sinhronizatsii-elektroentsefalogramm-levorukih-i-pravorukih-ispyt (In Rus.)
Mangejm Dzh. B., Rich P. K. Politologiya. Metody issledovaniya, Ves' Mir, Moskva / Zykov A. A. Osnovy teorii grafov. – Moskva: Nauka, 1987.
Nikiforov A. I., Bochkarev V. K. Komp'yuternaya sistema Brainloc. Rukovodstvo pol'zovatelya.- M.,1991.- 227 p. (In Rus.)
Cherkasova A. S. Neinvazivnye metody issledovaniya verbal'noj funkcii //Vestnik Severnogo (Arkticheskogo) federal'nogo universiteta. Seriya «Mediko-biologicheskie nauki». - 2015. - №1.- P.58-67 (In Rus.).
Besthorn C., Förstl H., Geiger C.-Kabisch, H. Sattel, T. Gasser Schreiter-Gasser U.EEG coherence in Alzheimer disease. Electroencephalography and Clinical Neurophysiology Volume90, Issue3, March1994, Pages 242-245https://doi.org/10.1016/0013-4694(94)90095-7
Bullmore E., Sporns O. The economy of brain network organization//Nature Reviews Neuroscience, 2012-13(5):336-349, http://dx.doi.org/10.1038/nrn3214.
Kanda P.A.M., Anghinah R., Magali Taino Smidth M.T., Jorge Mario Silva J.M. The clinical use of quantitative EEG in cognitive disorders Autilização clínicado EEG quantitative nostran stornos cognitivos. Dement. neuropsychol. 3(3)2009.https://doi.org/10.1590/S1980-57642009DN30300004.
Korenkevych D., Chien J.-H, Zhang J., Deng Shan Shiau D. C., Chris Sackellares, Ch. Pardalos P.M. Small world networks in computational neuroscience V: Pardalos P.M, DuD.-Z., Graham R. L. (editors). Combinatorial Optimization Reference. New York: Springer; 2013; p.3057-3088
Locatellia T. M. Cursia M. D., Liberatib D. M., Franceschia M., Comia G. EEG coherence in Alzheimer's disease // Electroencephalography and Clinical Neurophysiology.- 1998 (March).- Vol. 106, Issue 3. – P. 229 - 237
Flor-Henry P., Koles Z. J.(1982). EEG characteristics of normal subjects: A comparison of men and women and of dextrals and sinistrals. Research Communications in Psychology, Psychiatry&Behavior, 7(1), 21–38.
Gasser T., Christine Jennen-Steinmetz Ch., Rolf Verleger R. EEG coherence at rest and during a visual task in two groups of children//Electroencephalography and Clinical Neurophysiology. - 1987.-Vol. 67, Iss.2.- P.151-158.
Shaw J.C., O'Connor K. P., Ongley C. The EEG as a measure of cerebral functional organization // The British Journal of Psychiatry, 1977. Vol. 130(3):260-264)
Tucker M., Stenslie C. E., Randy S. Roth R. S., MS; Steve L. Shearer S. Right Frontal Lobe Activation and Right Hemisphere Performance Decrement During a Depressed Mood//Arch Gen Psychiatry.- 1981;38(2):169-174.doi:10.1001/archpsyc.1981.01780270055007
Weiss S., Rappelsberger P. Left Frontal EEG Coherence Reflects Modality Independent Language Processes//Brain Topograpy.- 1998.- Vol.11.- №1.- P.33–42
Zhengyan Jiang. Study on EEG power and coherence in patients with mild cognitive impairment during working memory task. Journal of Zhejiang University. Science. – 2005. Vol.6. – P. 1213–1219.
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