Gamma-Band Binaural Beats Neuromodulation Enhances P300 Classification in an Auditory Brain-Computer Interface Paradigm

IF 5.2 2区 医学 Q2 ENGINEERING, BIOMEDICAL
Xiaodong Li;Xin Wang;Shihao Chen;Wenxuan Zhu;Richu Jin;Weiwei Peng
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Abstract

While established neuromodulation techniques like transcranial magnetic stimulation and transcranial direct current stimulation have shown potential for enhancing brain-computer interface (BCI) performance, their clinical adoption faces challenges including high implementation costs, technical complexity, and safety concerns. This study investigated binaural beats (BB), a non-invasive auditory neuromodulation method characterized by operational simplicity and minimal adverse effects, as a practical alternative for optimizing auditory P300-BCI. Employing a crossover experimental design, thirty healthy participants underwent gamma-band (40 Hz) and alpha-band (10 Hz) BB stimulation in separate sessions. Auditory oddball paradigm experiments were conducted before and after each BB intervention. Electroencephalogram (EEG) data were decoded using both a machine learning classifier and a deep learning model for P300 classification. Additionally, irregular-resampling auto-spectral analysis (IRASA) was applied to extract aperiodic components from EEG during BB stimulation to evaluate changes in brain state. The results demonstrated frequency-dependent modulation effects: gamma-BB significantly improved P300 classification accuracy while alpha-BB impaired performance. Neurophysiological analysis revealed that gamma-BB decreased the aperiodic exponent, indicating enhanced brain arousal level, whereas alpha-BB produced the opposite pattern. Importantly, the aperiodic parameter change showed a significant association with BCI performance improvement. These findings established gamma-BB as an effective, low-cost neuromodulation strategy for augmenting auditory P300-BCI through brain state modulation.
伽玛波段双耳节拍神经调节在听觉脑机接口范式中增强P300分类。
虽然现有的神经调节技术,如经颅磁刺激和经颅直流电刺激已经显示出增强脑机接口(BCI)性能的潜力,但它们的临床应用面临着包括高实施成本、技术复杂性和安全问题在内的挑战。双耳节拍(BB)是一种无创的听觉神经调节方法,具有操作简单、副作用小的特点,可作为优化听觉P300-BCI的实用替代方法。采用交叉实验设计,30名健康参与者在不同的会话中接受γ波段(40赫兹)和α波段(10赫兹)BB刺激。在每次BB干预前和干预后分别进行听觉怪异范式实验。使用机器学习分类器和深度学习P300分类模型对脑电图(EEG)数据进行解码。此外,应用不规则重采样自谱分析(IRASA)提取脑电刺激时的非周期性成分,以评估脑状态的变化。结果显示了频率相关的调制效应:gamma-BB显著提高了P300的分类精度,而alpha-BB则损害了性能。神经生理学分析显示,γ - bb降低了非周期指数,表明大脑觉醒水平增强,而α - bb产生相反的模式。重要的是,非周期参数的改变显示出与脑机接口性能改善的显著关联。这些发现证实了伽马- bb是一种有效的、低成本的神经调节策略,可以通过大脑状态调节来增强听觉P300-BCI。
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
CiteScore
8.60
自引率
8.20%
发文量
479
审稿时长
6-12 weeks
期刊介绍: Rehabilitative and neural aspects of biomedical engineering, including functional electrical stimulation, acoustic dynamics, human performance measurement and analysis, nerve stimulation, electromyography, motor control and stimulation; and hardware and software applications for rehabilitation engineering and assistive devices.
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