EEG Correlates of Eysenck's Personality Traits in Young Male Athletes
The article presents the study of the relationship of oscillations of electroencephalography (EEG) rhythms on the data of personality traits of young athletes (N = 17) aged 17 to 21. EEG recorded by a single-channel wireless EEG system with dry non-contact EEG electrodes designed by NeuroSky with the ThinkGear module and the MindCap XL headband in the prefrontal cortex. Personality traits were determined by the Eysenck Personality Questionnaire (EPQ): Psychoticism, Extraversion, and Neuroticism. Lie (Social Desirability) were also used. A linear regression model was used to analyze EEG rhythms as predictor for Eysenck's personality traits. The findings of the study highlighted two EEG rhythms that are predictors for personality traits: theta wave for neuroticism with negative slope (t = -2.35, R2 = 0.269, p < 0.033), which could be related to inhibition, and gamma wave for social desirability with negative slope (t = -2.46, R2 = 0.287, p < 0.027), which could be related to the independence of footballers' decision-making. The revealed EEG patterns could cause the preference of certain behavioral strategies in sport. Furthermore, statistically significant relationship between theta wave with neuroticism indicate that they may be influenced by emotion-generating brain structures. Thus, EEG oscillators in the young footballers' prefrontal cortex are selectively sensitive to the psychological traits by Eysenck. Theta rhythm was the predictor of neuroticism, which could be related to defensive inhibition among young footballers. Gamma rhythm was the predictor of social desirability, which could be related to the independence of decision-making or selective behavior modification among footballers. This research is among the first studies using the NeuroSky Think Gear module with a single-channel EEG system to analyze the features of temperament among athletes. The received data imply further studies to examine the probability of association between the slow and higher frequency rhythms and personality traits among athletes. The data on EEG rhythm oscillations as neurophysiological correlates of footballers' personality traits can be used to create methods for objective behavior diagnosis in sport competitions in both young and high-qualification footballers.
Keywords
ЭЭГ,
личностные черты,
префронтальная кора,
психотизм,
экстраверсия,
нейротизм,
социальная комформность,
неинвазивный метод,
EEG,
personality traits,
prefrontal cortex,
psychoticism,
extraversion,
neuroticism,
social desirability,
non-invasive methodAuthors
| Sultanov Murad B. | A.I. Karaev Institute of Physiology of the Azerbaijan National Academy of Sciences | murad.sultan.81@mail.ru |
Всего: 1
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