Influence of EEG rhythms on extraversion-introversion indicators and smiles test

Abstract

Currently, the diagnosis of personality disorders is subjective and depends on the classifications used, the choice of the diagnostic method. The objective: to establish the probable regulatory effects of the functional state of the central nervous system according to electroencephalographic research (EEG) data in healthy individuals in providing individual psychological traits (features) of the personality, determined using Eysenck's and SMIL tests, using multivariate analysis - by methods of multiple regression and correlation analysis in extroverts and introverts, in order to diagnose the norm. Materials and methods. The psychological methods of G. Eysenck (EPI) and SMIL were carried out in electronic form and had a standard form. EEG was studied on 48 practically healthy people, students, average age 20 ± 0.5 years for 2 minutes in a state of psychosensory rest - eyes closed. The analysis of EEG files was carried out after the end of the experiments using the "Analist2" program. EEG segmentation was performed using the method of fixed intervals. The indicators of the EPI and SMIL tests were considered as the target feature (Y-s), and the indicators of the amplitudes of the EEG rhythms were considered as influencing variables (sets of X-s) and the equations of multiple linear regression were built. Results. It was shown that, in both extroverts and introverts, during periods of desynchronization, the number of statistically significant regression coefficients from the amplitudes of EEG rhythms to the indicators of Eysenck and SMIL tests was determined to be greater than during periods of synchronization. The greatest number of regression connections-relationships in extroverts under conditions of desynchronization was determined by the indicator "psychopathy", and in introverts the influence from EEG indicators along all six channels was determined by the indicators "extro-introversion" and "depression". The greatest number of regression relationships-relationships among extroverts under synchronization conditions was determined by the indicator "psychopathy", and among introverts the relationshipsrelationships from EEG indicators to indicators of psychological tests were evenly distributed in the amount of 2–3.