PERSONAL CHARACTERISTICS OF MAN AND NEUROPHYSIOLOGICAL FEATURES
DOI:
https://doi.org/10.11603/bmbr.2706-6290.2020.4.11798Keywords:
baseline EEG, personality, extraverts, introverts, visual loadAbstract
Summary. When a person is in a state of emotional rest, the nature of the bioelectric activity of the brain is largely determined by the individual-typological properties of the person. These properties determine the features of brain processes and its ability to respond to the flow of information.
The aim of the study – to learn the electroencephalographic differences at rest and in mental activity depending on the psychological type of personality.
Materials and Methods. The study involved 30 students aged 17–21. The level of extraversion-introversion were determined using the Eysenck questionnaire. The study of the functional state of the brain was carried out using a computer electroencephalography system.
Results. The processes of excitation and inhibition in the central nervous system and the level of activity of the cortex are due to personal characteristics. The intellectual load in people with a high initial level of cortical activity do not require additional psychophysiological efforts. The effective performance of the task in people with low baseline activity of the cortex is provided by the activation of the fronto-thalamic systems of the brain.
Conclusions. The obtained results indicate that the features of change of the amplitude-frequency parameters of different ranges in response to influence of visual loads depend on individual characteristics.
References
Aslanyan EV, Kiroy VN, Stoletniy AS, Lazurenko DM, Bahtin OM, Minyaeva NR, Kiroy RI. [Impact of individual personality features on ability to voluntary regulation of expression eeg alpha and beta frequencies]. Ros fiziol zh. 2015;101(5): 599-613. Russian.
Polikanova IS, Sergeev AV. [The effect of long-term cognitive load on the EEG parameters]. Natsion psikhol zhurn. 2014;1: 86-94. Russian. DOI: 10.11621/npj.2014.0109.
Bazanova OM [Current interpretation of EEG alpha activity]. Mezhd Nevrol zhurn. 2011;8: 96-104. Russian.
Knyazev GG. Is cortical distribution of spectral power a stable individual characteristic? Int J Psychophysiol. 2009;72(2): 123-33. DOI:10.1016/j.ijpsycho.2008.11.004.
Begleiter H, Porjesz B. Genetics of human brain oscillations. Int J Psychophysiol. 2006;60(2): 162-171.
Basar E. Oscillations in “brain-body-mind” – A holistic view including the autonomous system. Brain Res. 2008;1235: 2-11.
Behosh NB [Changes in bioelectric activity of the brain in young people under visual load at the computer]. Zdobut klin і eksperеm med. 2012;2: 148-51. Ukrainian.
Osama M, Ali S, Malik RJ. Posture related musculoskeletal discomfort and its association with computer use among university students. J Pak Med Assoc. 2018;68(4): 639-41.
Rosenfield M. Computer vision syndrome (a.k.a. digital eye strain). Optometry in Practice. 2016;17: 1-10.
Rayhorodskiy DYa. Practical psychodiagnostics. Techniques and tests. [Практическая психодиагностика. Методики и тесты] Moscow: Bakhrakh-M; 2011. Russian.
Eysenck HJ. Dimensions of personality: 16, 5 or 3? – criteria for a taxonomic paradigm. Person Individ Diff. 1991;12(8): 773-90.
Klimesch W. EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis. Brain Res Rev. 1999;29: 169-95.
Boksem MAS, Meijman TF, Lorist MM. Mental fatigue, motivation and action monitoring. Biol Psychol. 2006;72: 123-32.
Kostandov EA [Flexibility of cognitive activity depends on its context]. Fiziol chel. 2010;36(5): 19-28.
Mitchell DJ, McNaughton N, Flanagan D, Kirk IJ. Frontal-midline theta from the perspective of hippocampal "theta". Progress in Neurobiology. 2008;86(3): 156-85.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2021 Bulletin of Medical and Biological Research
This work is licensed under a Creative Commons Attribution 4.0 International License.
