Action sequence guidance with exposure trajectory technology improves performance of motor imagery-based brain-computer interface

IF 2.3 4区医学 Q2 BIOCHEMICAL RESEARCH METHODS

Journal of Neuroscience Methods Pub Date : 2025-08-13 DOI:10.1016/j.jneumeth.2025.110553

Kai Kong , Jie Wang , Mengfan Li , Tengyu Zhang , Enming Qi , Qi Zhao

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引用次数: 0

Abstract

Background

The paradigms greatly influence the performance of motor imagery (MI)-based brain-computer interfaces (BCI) by guiding subjects to imagine. How to make the guidance clear and intuitive is important for MI-BCI to improve performance.

New methods

This study proposes a novel MI-BCI paradigm based on action sequence (AS) guidance, which visualizes and choreographs sequential actions to support motor imagery. In a drawing task, the action exposure trajectory technique presents a gray nib at the starting point of the next stroke while the current stroke is being drawn, highlighting the order and details of the movement. Ten subjects participated in offline and online experiments under both AS and traditional MI conditions. EEG activation regarding multiple frequencies and periods, and MI-BCI performance are evaluated.

Results

The AS paradigm evokes more significant ERD/ERS features, and improves offline and online BCI accuracies and information transfer rates to 85.69 %, 78.77 %, and 15.60 bits/min, which are 8.37 %, 7.95 %, and 7.13 bits/min higher than the traditional paradigm. In addition, the subjects are demonstrated more comfortable subjective feelings.

Comparison with existing methods

The AS paradigm offers clearer and more intuitive guidance, enhances EEG feature activation, and significantly improves MI-BCI performance in both offline and online experiments.

Conclusions

Dynamic action sequences action with exposure trajectory technique could enhance the subject’s brian activation by offering richer content and more intuitive guidance, providing a new way for prompting BCI performance.

查看原文本刊更多论文

基于暴露轨迹技术的动作序列导引提高了基于运动图像的脑机接口的性能

这些范式通过引导被试进行想象，极大地影响了基于运动意象的脑机接口（BCI）的表现。如何使引导清晰直观是MI-BCI提高性能的重要途径。新方法本研究提出了一种基于动作序列（AS）指导的MI-BCI范式，该范式将连续动作可视化并编排以支持运动意象。在绘图任务中，动作曝光轨迹技术在绘制当前笔画时，在下一笔画的起点处呈现一个灰色笔尖，突出显示运动的顺序和细节。10名受试者在AS和传统MI条件下分别参加了离线和在线实验。评估多频率、多周期的脑电激活和MI-BCI性能。结果AS范式具有更显著的ERD/ERS特征，将离线和在线BCI准确率和信息传输率分别提高到85.69 %、78.77 %和15.60 bits/min，分别比传统范式提高8.37 %、7.95 %和7.13 bits/min。此外，被试表现出更舒适的主观感受。与现有方法的比较：AS范式在离线和在线实验中都提供了更清晰直观的指导，增强了脑电特征激活，显著提高了MI-BCI性能。结论动态动作序列动作配合暴露轨迹技术可增强被试脑的激活，内容更丰富，引导更直观，为脑机接口（BCI）性能的提升提供了新的途径。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Neuroscience Methods 医学-神经科学

CiteScore

7.10

自引率

3.30%

发文量

226

审稿时长

52 days

期刊介绍： The Journal of Neuroscience Methods publishes papers that describe new methods that are specifically for neuroscience research conducted in invertebrates, vertebrates or in man. Major methodological improvements or important refinements of established neuroscience methods are also considered for publication. The Journal''s Scope includes all aspects of contemporary neuroscience research, including anatomical, behavioural, biochemical, cellular, computational, molecular, invasive and non-invasive imaging, optogenetic, and physiological research investigations.