The EEG alpha rhythm frequency dynamics during the auditory perception of actions and its relation to intelligence level in children aged 7-10 years | Vestnik Tomskogo gosudarstvennogo universiteta. Biologiya - Tomsk State University Journal of Biology. 2021. № 56. DOI: 10.17223/19988591/56/5

The EEG alpha rhythm frequency dynamics during the auditory perception of actions and its relation to intelligence level in children aged 7-10 years

A number of studies have shown the possibility of taking the EEG individual alpha peak frequency (IAPF) as an informative neurophysiological indicator of the overall cognitive efficiency of the human brain. The main goal of the present work was to study the IAPF reactivity in primary school age children in the process of auditory perception of sounds accompanying familiar instrumental movements, and to measure its hypothesized correlation to the verbal and non-verbal intelligence development. The effects of gender and age of children on these interrelations have also been estimated. We analyzed the data pertaining to the sample of primary school children aged 7-10 years (62 subjects). To assess possible age-related effects, the sample of children was additionally divided into two groups aged 7-8 years (24 boys and10 girls) and 9-10 years (14 boys and 14 girls). During the experiment, the subject and the experimenter sat at the adjacent places, with a monitor and a computer mouse (CM) placed on the table in front of each of them. A video showing the CM section of the experimenter’s table was displayed on the monitor screen in front of the subject. Experimental tasks comprised a series of stages (30 s each) including the conditions of a passive visual fixation on the video image of a motionless CM, execution of self-paced circular right-hand movements with CM, observation of similar movements produced by the experimenter, real-time imitation of the experimenter’s movements, wakeful rest with eyes closed, and auditory perception of familiar sounds accompanying the CM movements produced by the experimenter (subject’s eyes still closed). In the context of the present study, we analyzed the EEG dynamics in subjects during the two final stages with eyes closed: wakeful rest (WR) and auditory perception (AP) of familiar CM movements produced by the experimenter. The area of interest in the present study was the electrical activity of the laterally located parietal (P3, P4) and occipital (O1, O2) EEG electrodes. IAPF values were calculated for each of them within 7-13 Hz frequency range and averaged for the sum of them for the two corresponding experimental stages. The reactivity of the alpha rhythm frequency was calculated for each subject separately as the difference between the values of the dominant alpha rhythm frequency in two situations: the auditory perception of instrumental movements and the wakeful rest. Positive values of the frequency reactivity indicated its increase under condition of auditory perception of movements, and negative values - its decrease. The intelligence development levels of the participants were assessed with the help of the Wechsler test for children (WISC). In the context of the present study, the verbal and non-verbal intelligence scores were analyzed separately. We can conclude that in the primary school age children, the individual frequency of the parieto-occipital alpha rhythm in boys does not differ significantly between the groups aged 7-8 and 9-10 years. In girls, in the older group this indicator has a significantly higher value (See Table 1). For children aged 7-10 years, a significant positive correlation was identified between IAPF and non-verbal intelligence score. No connection with verbal intelligence has been found (See Fig. 1). The condition of auditory perception of sounds accompanying familiar instrumental actions evokes the decrease in the parieto-occipital alpha rhythm frequency in the majority of primary school age children, which is most characteristic for the groups of girls aged 9-10 years (See Table 2). A relatively small percentage of children (~ 18%) who demonstrated an increase in the frequency of the parieto-occipital alpha rhythm under condition of auditory perception of familiar instrumental actions, are characterized by lower scores of nonverbal intelligence, relative to their peers (See Fig. 2). Thus, nonverbal intelligence development can be related to the individual developmental characteristics of neural network oscillators, which can be reflected in children as multidirectional reactions in alpha rhythm frequency. The paper contains 2 Figures, 2 Tables, and 30 References.

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Keywords

individual alpha peak frequency, auditory perception of instrumental actions, verbal intelligence, nonverbal intelligence, children

Authors

NameOrganizationE-mail
Makhin Sergey A.V.I. Vernadsky Crimean Federal Universitysmakhin@inbox.ru
Kaida Anna I.V.I. Vernadsky Crimean Federal Universitykaydaanna@gmail.com
Eismont Yevgeniya V.V.I. Vernadsky Crimean Federal Universityevgenija.eismont@mail.ru
Mikhailova Anna A.V.I. Vernadsky Crimean Federal Universityanna.kulenkova@gmail.com
Pavleko Vladimir B.V.I. Vernadsky Crimean Federal Universityvpav55@gmail.com
Всего: 5

References

Бушов Ю.В., Светлик М.В., Есипенко Е.А., Джафарова С.Р. Корковые взаимодействия и спектральные характеристики мю-ритма у человека при наблюдении, произнесении и мысленном воспроизведении неэмоционального слова // Вестник Томского государственного университета. Биология. 2019. № 45. С. 91-105.
Fox N.A., Bakermans-Kranenburg M.J., Yoo K.H., Bowman L.C., Cannon E.N., Vanderwert R.E., Ferrari P.F. Assessing human mirror activity with EEG mu rhythm: A meta-analysis // Psychol Bull. 2016. Ѵоі. 142, № 3. РР. 291-313.
Лебедева Н.Н., Каримова Е.Д., Карпычев В.В., Мальцев В.Ю. Зеркальная система мозга при наблюдении, выполнении и представлении моторных задач -нейрофизиологическое отражение восприятия чужого сознания // Журн. высш. нерв. деят. им. И.П. Павлова. 2018. Т. 68, № 2. С. 204-215.
Langrova J., Kremlacek J., Kuba M., Kubova Z., Szanyi J. Gender impact on electrophysiological activity of the brain // Physiol. Res. 2012. № 61. РР. 119-127.
Garces P., Vicente R., Wibral M., Pineda-Pardo J.A., Lopez M.E., Aurtenetxe S. Brainwide slowing of spontaneous alpha rhythms in mild cognitive impairment // Front. Aging Neurosci. 2013. № 5. РР. 100.
Soroko S.I., Shemyakina N.V., Nagornova Z.V., Bekshaev S.S. Longitudinal study of EEG frequency maturation and power changes in children on the Russian North // International Journal of Developmental Neuroscience. 2014. № 38. РР. 127-137.
Филимоненко Ю.И. Тест Д. Векслера. Диагностика структуры интеллекта (детский вариант): методическое руководство. СПб. : ИМАТОН, 2016. 106 с.
Кайда А.И., Махин С.А., Эйсмонт Е.В., Павленко В.Б. Возрастная динамика и топография реактивности индивидуального мю-ритма ЭЭГ у детей 4-14 лет // Вестник Томского государственного университета. Биология. 2019. № 45. С. 106-127.
Eismont E.V., Makhin S.A., Bakunova A.V, Kaida A.I., Pavlenko V.B. Properties of the EEG ц rhythm and its reactivity during the performance, observation, imitation, and auditory recognition of movements in children aged 4-14 years // Human Physiology. 2017. Ѵоі. 43, № 3. РР. 274-279.
Neubauer A.C., Grabner R.H., Fink A., Neuper C.Intelligence and neural efficiency: further evidence of the influence of task content and sex on the brain-IQ relationship // Brain Res Cogn Brain Res. 2005. Vol. 25, № 1. РР. 217-225.
Белоусова Л.В., Разумникова О.М., Вольф Н.В. Возрастные особенности связи интеллекта и характеристик ЭЭГ // Журнал высшей нервной деятельности им. И.П. Павлова. 2015. Т 65, № 6. С. 699.
Salthouse T.A. Neuroanatomical substrates of age-related cognitive decline // Psychological Bulletin. 2011. Vol. 137, № 5. РР. 753-784.
Базанова О.М., Афтанас Л.И. Успешность обучения и индивидуальные частотнодинамические характеристики альфа-активности электроэнцефалограммы // Вестник Российской академии медицинских наук. 2006. № 6. С. 30-33.
Hedden T., Gabrieli J.D.E. Insights into the ageing mind: A view from cognitive neuroscience // Nature Reviews Neuroscience. 2004. Vol. 5, № 2. РР. 87-96.
Bazanova O.M., Vernon D.Interpreting EEG alpha activity // Neurosci Biobehav Rev. 2014. № 44. РР. 94-110.
Афтанас Л.И., Тумялис А.В. Индивидуальная частота а осцилляций электроэнцефалограммы как нейрофизиологический эндофенотип эмоциональных предиспозиций // Вестник Российской академии медицинских наук. 2013. Т. 68, № 12. C. 69-79.
Napflin M., Wildi M., Sarnthein J. Test-retest reliability of resting EEG spectra validates a statistical signature of persons // Clinical Neurophysiology. 2007. Vol. 118, № 11. РР. 2519-2524.
Smit C.M., Wright M.J., Hansell N.K., Geffen G.M., Martin N.G. Genetic variation of individual alpha frequency (IAF) and alpha power in a large adolescent twin sample // International Journal of Psychophysiology. 2006. Vol. 61, № 2. РР. 235-243.
Kondacs A., Szabo M. Long-term intra-individual variability of the background EEG in normal // Clinical Neurophysiology. 1999. Vol. 110, № 10. РР. 1708-1716.
Malone S.M., Burwell S.J., Vaidyanathan U., Miller M.B., McGue M., Iacono W.G. Heritability and moleculargenetic basis of resting EEG activity: A genome-wide association study // Psychophysiology. 2014. Vol. 51, № 12. РР. 1225-1245.
Grandy T.H., Werkle-Bergner M., Chicherio C., Lovden M., Schmiedek F., Lindenberger U. Individual alpha peak frequency is related to latent factors of general cognitive abilities // NeuroImage. 2013. № 79. РР. 10-18.
Grandy T.H., Werkle-Bergner M., Chicherio C., Schmiedek F., Lovden M., Lindenberger U. Peak individual alpha frequency qualifies as a stable neurophysiological trait marker in healthy younger and older adults // Psychophysiology. 2013. Vol. 50, № 6. РР. 570-582.
Klimesch W., Doppelmayr M., Schimke H., Pachinger T. Alpha frequency, reaction time, and the speed of processing information // Journal of Clinical Neurophysiology. 1996. Vol. 13, № 6. РР. 511-518.
Samaha J., Postle B.R. The speed of alpha-band oscillations predicts the temporal resolution of visual perception // Current Biology. 2015. Vol. 25, № 22. РР. 2985-2990.
Klimesch W., Doppelmayr M., Hanslmayr S. Upper alpha ERD and absolute power: Their meaning for memory performance // Prog Brain Res. 2006. № 159. РР. 151-165.
Cecere R., Rees G., Romei V Individual differences in alpha frequency drive cross modal illusory perception // Current Biology. 2015. Vol. 25, № 2. РР. 231-235.
Klimesch W. EEG alpha and theta oscillations reflect cognitive and memory performance: A review and analysis // Brain Research Reviews. 1999. Vol. 29, № 2-3. РР. 169-195.
Vogel W., Broverman D.M. Relationship between EEG and test intelligence: A critical review // Psychological Bulletin. 1964. Vol. 62, № 2. РР. 132-144.
Лебедева Н.Н., Каримова Е.Д. Устойчивость паттернов ЭЭГ человека в различных задачах: проблема аутентификации личности // Журнал высшей нервной деятельности им. И.П. Павлова. 2020. Т 70, № 1. С. 40-49.
Базанова О.М. Вариабельность и воспроизводимость индивидуальной частоты альфа-ритма ЭЭГ в зависимости от экспериментальных условий // Журнал высшей нервной деятельности. 2011. № 61 (1). С. 102-111.
 The EEG alpha rhythm frequency dynamics during the auditory perception of actions and its relation to intelligence level in children aged 7-10 years | Vestnik Tomskogo gosudarstvennogo universiteta. Biologiya - Tomsk State University Journal of Biology. 2021. №  56. DOI: 10.17223/19988591/56/5

The EEG alpha rhythm frequency dynamics during the auditory perception of actions and its relation to intelligence level in children aged 7-10 years | Vestnik Tomskogo gosudarstvennogo universiteta. Biologiya - Tomsk State University Journal of Biology. 2021. № 56. DOI: 10.17223/19988591/56/5

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