METHODS AND APROACHES TO IMPROVE BRAIN-COMPUTER INTERFACE CONTROL BY HEALTHY USERS AND PATIENTS WITH MOVEMENT DISORDERS

This article reviews the methods of improving user performance when controlling brain-computer interface (BCI) both for healthy users and for patients with movement disorders. The article analyses the methods of BCI user training and motor imagery optimization. The main topics covered in the article are as follow: what and how to imagine, types of feedback, types of training technics improving attention concentration on the task (action observational training, goal-directed physical therapy during neurorehabilitation, body-mind therapy), psychological and social factors. The following predictors of BCI performance have been identified: visuo-motor coordination ability, concentration on task, motivation, fear of incompetence (negative correlation with classification accuracy), and positive emotional environment.