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基于运动想象的脑机接口中预提示顶叶阿尔法振荡与事件相关去同步化之间的关联。

Associations between pre-cue parietal alpha oscillations and event related desynchronization in motor imagery-based brain-computer interface.

作者信息

Mohamed Mohamed A, Giles Joshua, AlSaleh Mashael, Arvaneh Mahnaz

机构信息

School of Electrical and Electronics Engineering and Neuroscience Institute, University of Sheffield, Sheffield, United Kingdom.

Department of Information Technology, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia.

出版信息

Front Hum Neurosci. 2025 Jul 23;19:1625127. doi: 10.3389/fnhum.2025.1625127. eCollection 2025.

DOI:10.3389/fnhum.2025.1625127
PMID:40772248
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12325294/
Abstract

INTRODUCTION

Motor Imagery based brain-computer interfaces (MI-BCIs) offer a promising avenue for controlling external devices via neural signals generated through imagined movements. Despite their potential, the performance of MI-BCIs remains highly variable across users and sessions, presenting a barrier to broader adoption.

METHODS

This study explores the influence of pre-cue parietal alpha power on the quality of the event-related desynchronization (ERD) responses, a critical indicator of MI processes. Analyzing data from 102 sessions involving 77 participants.

RESULTS

We identified a robust significant correlation between pre-cue parietal alpha power and ERD magnitude, indicating that elevated pre-cue parietal alpha power is associated with enhanced ERD responses. Additionally, we observed a significant positive relationship between pre-cue parietal alpha power and MI-BCI classification accuracy, highlighting the potential relevance of this neurophysiological metric for BCI performance.

DISCUSSION

Our findings suggest that pre-cue parietal alpha power can serve as a potential marker for optimizing MI-BCI systems. Integrating this marker into individualized training protocols can potentially enhance MI-BCI systems' consistency, and overall accuracy.

摘要

引言

基于运动想象的脑机接口（MI-BCIs）为通过想象运动产生的神经信号控制外部设备提供了一条很有前景的途径。尽管它们具有潜力，但MI-BCIs的性能在不同用户和不同时段之间仍然存在很大差异，这成为了其更广泛应用的障碍。

方法

本研究探讨了预提示顶叶阿尔法波功率对事件相关去同步化（ERD）反应质量的影响，ERD反应是MI过程的一个关键指标。分析了来自77名参与者的102个时段的数据。

结果

我们发现预提示顶叶阿尔法波功率与ERD幅度之间存在显著的强相关性，这表明预提示顶叶阿尔法波功率升高与增强的ERD反应相关。此外，我们观察到预提示顶叶阿尔法波功率与MI-BCI分类准确率之间存在显著的正相关关系，突出了这种神经生理指标对BCI性能的潜在相关性。

讨论

我们的研究结果表明，预提示顶叶阿尔法波功率可以作为优化MI-BCI系统的一个潜在指标。将这个指标纳入个性化训练方案可能会提高MI-BCI系统的一致性和整体准确率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43fc/12325294/1ddf19e28235/fnhum-19-1625127-g0008.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43fc/12325294/d4133f52962e/fnhum-19-1625127-g0001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43fc/12325294/1c6ee4e4dfec/fnhum-19-1625127-g0005.jpg
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