RELATIONSHIP BETWEEN PERSONALITY TRAITS OF USERS AND SUCCESS OF MOTOR IMAGERY OF RIGHT AND LEFT HANDS WHEN CONTROLING BRAIN-COMPUTER INTERFACES

It is known that the success of motor imagery in brain-computer interface (BCI) control may depend on user's personality traits, and the activity of some right- and left-hemispheric brain structures depends on personality traits. It is unknown how the success of BCI control by people with different personality traits is associated with interhemispheric asymmetry. Here we analyzed the relationships between personality traits and the accuracy of classification of brain signals in imagination of movements of the right hand (RH) and the left hand (LH) in comparison with the rest state with a single control of BCI by naive subjects. It is found that lively sensitive extraverts are more successful in imagining of RH movements, and practical, reserved, skeptical and not very sociable persons are more efficient in imagining of LH movements. BCI users open to change are more successful than traditionalists and conservatives in imagination of movements of both RH and LH. The analysis of subjective complexity of movement imagination shows that the classification accuracy during imagination of RH comparative to LH is higher in users for whom is more difficult to imagine the movements of RH, but not LH. The data obtained supposed to be connected with differences in motor control and dopamine level in the right and the left hemisphere.