Relationship between the parameters of the frontal cortex bioelectric activity and extraversion and neuroticism level

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Abstract

The frontal lobes make a significant contribution to the formation of individual personality traits, in connection with which it is important to identify the links between the parameters of the bioelectric activity of the frontal cortex and the indicators of psychological tests. The aim of this work was to study the relationship between the indicators of extraversion and neuroticism of the subjects and the parameters of their EEG. For the first time, differences in these relationships were found at rest and during standard functional tests, without the use of additional specialized loads. The study involved healthy subjects of both sexes, average age 19.3 years; all subjects are right-handed. To identify the level of extraversion and neuroticism, the standard Eysenck test (option B) was used. The EEG was recorded using the bipolar derivation method. 19 electrodes were exposed in accordance with the international Jasper system 10–20%. EEG was recorded at rest with eyes closed and during functional tests: eye opening, hyperventilation, photostimulation. The correlation coefficients of the index and absolute power of the EEG with the level of extraversion and neuroticism were calculated both for the entire sample of subjects and for individual groups according to the level of extraversion and the level of neuroticism. For the entire sample of subjects, positive significant correlations of EEG power with the level of extraversion and negative – with the level of neuroticism were revealed. In the groups of subjects with high, medium and low levels of extraversion and neuroticism, the differences in correlation relationships with EEG parameters are more pronounced. In these groups, these differences are more often manifested when performing functional tests than at rest with closed eyes.

About the authors

Natalia Yu. Smit

St. Petersburg State Pediatric Medical University of the Ministry of Healthcare of the Russian Federation

Author for correspondence.
Email: njusmit@mail.ru

PhD, Cand. Sci. (Biol.), Associate Professor, Department of Human Anatomy

Russian Federation, Saint Petersburg

Mikhail V. Aleksandrov

St. Petersburg State Pediatric Medical University of the Ministry of Healthcare of the Russian Federation; Russian Scientific Research Neurosurgical Institute named after prof. A.L. Polenov – branch office of the V.A. Almazov National Medical Research Center of the Ministry of Health of the Russian Federation

Email: mdoktor@yandex.ru

MD, PhD, Dr. Sci. (Med.), Professor of the Department of Normal Physiology, Head of the Department of Clinical Neurophysiology, Head of the Laboratory of Clinical Research in Neurosurgery and Neurology, doctor of functional diagnostics

Russian Federation, Saint Petersburg; Saint Petersburg

Natalia R. Karelina

St. Petersburg State Pediatric Medical University of the Ministry of Healthcare of the Russian Federation

Email: karelina_nr@gpmu.ru

MD, PhD, Dr. Sci. (Med.), Professor, Head of the Department of Human Anatomy

Russian Federation, Saint Petersburg

Sergey A. Lytaev

St. Petersburg State Pediatric Medical University of the Ministry of Healthcare of the Russian Federation

Email: slytaev@gmail.com

MD, PhD, Dr. Sci. (Med.), Professor, Head of the Department of Normal Physiology

Russian Federation, Saint Petersburg

Elena V. Marchenko

Russian Scientific Research Neurosurgical Institute named after prof. A.L. Polenov – branch office of the V.A. Almazov National Medical Research Center of the Ministry of Health of the Russian Federation

Email: lm_sovushka@mail.ru

doctor of functional diagnostics of the Department of Clinical Neurophysiology

Russian Federation, Saint Petersburg

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2. Fig. 1. Correlation of the delta rhythm index with the level of extraversion (а), the delta rhythm index with the level of neuroticism (b), the power of the delta rhythm with the level of extraversion (c), the power of the delta rhythm with the level of neuroticism (d) for the entire sample of subjects. “–” sign in a circle – negative correlations, a “+” sign in a circle – positive correlations. The level of significance of the correlation coefficient is reflected in the size of the sign in the circle: the smaller sign corresponds to p < 0.05, the larger sign corresponds to p < 0.01. bg-EEG – a state of rest with closed eyes (background EEG), OE – functional test “Opening eyes”

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3. Fig. 2. Correlations of the power of the theta rhythm with the level of extraversion (a), power of the theta rhythm with the level of neuroticism (b), power of the alpha rhythm with the level of extraversion (c), power of the alpha rhythm with the level of neuroticism (d) for the entire sample of subjects. Designations as in Fig. 1

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4. Fig. 3. Correlation of the delta rhythm index with the level of extraversion (a), the theta rhythm index with the level of extraversion (b), the delta rhythm index with the level of neuroticism (c) in the groups of subjects differing in the level of extraversion and the level of neuroticism. Designations as in Fig. 1

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5. Fig. 4. Correlations of the delta rhythm power with the level of extraversion (a) and the level of neuroticism (b) in the groups of subjects differing in the level of extraversion and the level of neuroticism. Designations as in Fig. 1

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6. Fig. 5. Correlations of the power of theta rhythm with the level of extraversion (a), power of the theta rhythm with the level of neuroticism (b) in groups of subjects differing in the level of extraversion and the level of neuroticism. Designations as in Fig. 1

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Copyright (c) 2021 Smit N.Y., Aleksandrov M.V., Karelina N.R., Lytaev S.A., Marchenko E.V.

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This work is licensed under a Creative Commons Attribution 4.0 International License.
 


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