Background. Registration and analysis of bioelectric activity of the brain while performing the mental task allows us to obtain objective information about the physiological processes of the brain.
The Objective of the paper is to analyse session dynamics of changes in Theta rhythm(4-8 Hz), Delta rhythm (1-3.99 Hz), as well as slow (0.99-0.1 Hz) biorhythms of the human brain by registering the spectrum of the difference function of bioelectric activity (FBA) in the process of positional computer game.
Design. The efficiency of positional computer game of 65 female subjects in the age range of 18-58 years was analyzed. In 7 players in the course of four sessions of the game, the bioelectric activity of the brain in the range from 8 Hz to 0.13 Hz was studied.
Results. It is shown that the difference function of bioelectric activity at the significance level p=0.05 differs for each hemisphere in the frequency range. The changes in the frequencies of excitation (maxima) and inhibition (minima) of the difference function of bioelectric activity of the brain with an increase in the number of game sessions in each hemisphere in the ranges of theta, Delta and slow rhythms are revealed. A psychophysiological model of the player’s operations is proposed, which is consistent with the obtained data. The Statistica 10.0 package was used for statistical analysis.
Conclusion. In the final sessions of the positional computer game, the activity of the left hemisphere is reduced than the right one. As the strategy of the game has already been tested, the main elements of the game are already in memory, the novelty is almost absent. This is consistent with the transition from a successive (step-bystep) method of information processing to a simultaneous (one-step) analysis of the game position, which is characterized by rapid automatism in decision-making and performance.
Received: 02/12/2019
Accepted: 12/27/2019
Pages: 78-93
DOI: 10.11621/npj.2020.0108
Keywords: bioelectrical activity of the brain;
cognitive processes;
biorhythm of the brain;
interaction with a computer;
positional game;
Available Online: 03/31/2020