Pavlov Institute of Physiology, Russian Academy of Sciences, 199034, St. Petersburg, Russia.
Institute of Translational Medicine, Pirogov Russian National Research Medical University, 117997, Moscow, Russia.
Dokl Biol Sci. 2020 Nov;495(1):265-267. doi: 10.1134/S0012496620060010. Epub 2021 Jan 24.
Personality traits of users can affect the success in controlling brain-computer interfaces (BCIs), and the activity of right and left brain structures may differ depending on personality traits. Earlier, it was not known, how the success of BCI control with different personality traits is associated with interhemispheric asymmetry. In this work, the dependence of the success of imagination of movements, estimated by the success of recognition of EEG signals during imagination of hand movements compared to rest state, on the user's personal characteristics was studied. It is shown that in single control of BCI by naive subjects, recognition success in imagining right-hand (RH) movements was higher in expressive sensitive extroverts, and in imagining left-hand movements (LH) it was higher in practical, reserved, skeptical, and not very sociable persons. It is suggested that this phenomenon may be based on interhemispheric differences in dopamine level and in the way of encoding movement information.
用户的个性特征会影响他们在脑机接口（BCI）控制方面的成功程度，而左右脑结构的活动可能因个性特征而异。此前，人们还不知道不同个性特征的 BCI 控制成功率与大脑两半球不对称性之间的关系。在这项工作中，研究了通过想象手部运动来估计运动想象的成功程度（通过想象手部运动时 EEG 信号的识别成功率来评估）与用户个人特征之间的关系。结果表明，在单纯由新手主体控制的 BCI 中，想象右手（RH）运动的识别成功率在表现型敏感外向者中更高，而在想象左手（LH）运动的识别成功率在实际型、保守型、怀疑型和不太善于社交的人群中更高。这一现象可能基于多巴胺水平和运动信息编码方式的大脑两半球差异。
