Dependence of Brain-Computer Interface Control Training on Personality Traits

Dokl Biochem Biophys. 2022 Dec;507(1):273-277. doi: 10.1134/S1607672922060035. Epub 2023 Feb 14.

Abstract

Personality traits (PTs) are predictors of the success of control of brain-computer interfaces (BCIs); however, it is unknown how the PTs that are optimal for BCI control changes during training. The paper for the first time analyzes the correlations between PTs and the accuracy of the classification (AC) of brain states in imagining the movements of the hands, feet, and locomotion during 10-day training of ten volunteers in BCI control. In the first 3 days of training, the AC is higher for more stressed and anxious volunteers; in the last days, for calmer ones. In the middle of the training period, AC is higher in low-demonstrativeness persons, it is more pronounced when imagining foot movements. Correlations of low demonstrativeness, as well as of foresight and self-control with AC when imagining foot movements are revealed significantly more often than when imagining hand movements and locomotions. During almost the entire period of training, AC with locomotion imagination is higher in individualists. The results make it possible to propose individually-oriented recommendations for the use of BCI based on the imagination of movements for the rehabilitation of patients with motor disorders.

Keywords: brain–computer interfaces; imagination of flexion of the foot; imagination of locomotion; imagination of opening the hand; learning to imagine movements; personality traits.

MeSH terms

  • Brain-Computer Interfaces*
  • Electroencephalography / methods
  • Humans
  • Imagination
  • Movement
  • Personality