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脑机接口控制训练对人格特质的依赖性。

Dependence of Brain-Computer Interface Control Training on Personality Traits.

机构信息

Pavlov Institute of Physiology, Russian Academy of Sciences, St. Petersburg, Russia.

Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, Moscow, Russia.

出版信息

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

DOI:10.1134/S1607672922060035
PMID:36786985
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.

摘要

人格特质(PTs)是脑机接口(BCIs)控制成功的预测指标;然而,尚不清楚在训练过程中,最适合 BCI 控制的 PTs 是如何变化的。本文首次分析了人格特质与分类准确性(AC)之间的相关性,即在 10 名志愿者进行为期 10 天的 BCI 控制训练期间,想象手部、脚部和运动时大脑状态的分类准确性(AC)。在训练的前 3 天,压力更大和焦虑程度更高的志愿者的 AC 更高;在最后几天,情况则相反。在训练中期,低表现欲的人的 AC 更高,在想象脚部运动时更为明显。当想象脚部运动时,低表现欲、前瞻性和自我控制与 AC 的相关性比想象手部运动和运动时更显著。在训练的几乎整个过程中,个体主义者的运动想象 AC 更高。这些结果使得可以根据运动想象为运动障碍患者的康复提出基于个体的 BCI 使用建议。

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本文引用的文献

1
Success of Hand Movement Imagination Depends on Personality Traits, Brain Asymmetry, and Degree of Handedness.手部动作想象的成功取决于人格特质、大脑不对称性和利手程度。
Brain Sci. 2021 Jun 25;11(7):853. doi: 10.3390/brainsci11070853.
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Vividness of Visual Imagery and Personality Impact Motor-Imagery Brain Computer Interfaces.视觉表象的生动性和个性对运动想象脑机接口的影响。
Front Hum Neurosci. 2021 Apr 6;15:634748. doi: 10.3389/fnhum.2021.634748. eCollection 2021.
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Interhemispheric Asymmetry and Personality Traits of Brain-Computer Interface Users in Hand Movement Imagination.
脑-机接口使用者在手部运动想象中的大脑两半球不对称性与人格特质。
Dokl Biol Sci. 2020 Nov;495(1):265-267. doi: 10.1134/S0012496620060010. Epub 2021 Jan 24.
4
Alterations in the amplitude and burst rate of beta oscillations impair reward-dependent motor learning in anxiety.β 振荡幅度和爆发率的改变会损害焦虑症患者的奖励依赖性运动学习。
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Predicting Mental Imagery-Based BCI Performance from Personality, Cognitive Profile and Neurophysiological Patterns.从人格、认知特征和神经生理模式预测基于心理意象的脑机接口性能。
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The predictive role of pre-cue EEG rhythms on MI-based BCI classification performance.基于运动想象的脑机接口分类性能中预提示脑电节律的预测作用。
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Control beliefs can predict the ability to up-regulate sensorimotor rhythm during neurofeedback training.控制信念可以预测在神经反馈训练中上调感觉运动节律的能力。
Front Hum Neurosci. 2013 Aug 15;7:478. doi: 10.3389/fnhum.2013.00478. eCollection 2013.
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Using a motor imagery questionnaire to estimate the performance of a Brain-Computer Interface based on object oriented motor imagery.采用运动想象问卷评估基于面向对象运动想象的脑-机接口性能。
Clin Neurophysiol. 2013 Aug;124(8):1586-95. doi: 10.1016/j.clinph.2013.02.016. Epub 2013 Mar 25.