用脑电图分析想象说话和视觉意象，为脑机接口提供新思路
Imagined Speech and Visual Imagery as Intuitive Paradigms for Brain-Computer Interfaces
- 通过脑电相位锁定值分析想象说话与视觉意象的神经同步性
- 视觉意象激活视觉皮层，想象说话稳定激活语言区
- 适合语言类脑机接口，尤其对失语患者有应用潜力
脑机接口（BCI）在帮助运动障碍者沟通方面展现出前景。近年来的脑到语音技术旨在从神经活动重建言语。然而，使用非侵入性方法解码如想象说话和视觉意象等交流相关范式仍具挑战。本研究基于16名受试者的脑电数据，通过相位锁定值（PLV）分析这两种范式中的神经同步性和功能连接。结果表明，视觉意象在视觉皮层产生更高的PLV值，激活空间网络；而想象说话则表现出一致的神经同步，主要激活语言相关区域。研究提示，想象说话适用于语言驱动型脑机接口，视觉意象可作为失语患者的补充方案。个性化校准对优化脑机接口性能至关重要。
原文摘要 · Abstract (English)
Brain-computer interfaces (BCIs) have shown promise in enabling communication for individuals with motor impairments. Recent advancements like brain-to-speech technology aim to reconstruct speech from neural activity. However, decoding communication-related paradigms, such as imagined speech and visual imagery, using non-invasive techniques remains challenging. This study analyzes brain dynamics in these two paradigms by examining neural synchronization and functional connectivity through phase-locking values (PLV) in EEG data from 16 participants. Results show that visual imagery produces higher PLV values in visual cortex, engaging spatial networks, while imagined speech demonstrates consistent synchronization, primarily engaging language-related regions. These findings suggest that imagined speech is suitable for language-driven BCI applications, while visual imagery can complement BCI systems for users with speech impairments. Personalized calibration is crucial for optimizing BCI performance.
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