arXiv:2507.05635eess.AScs.SD2025-07

解析母语语音与音乐的脑电响应频率特征,发现关键频段及其神经协同机制。

Frequency-Specific Neural Response and Cross-Correlation Analysis of Envelope Following Responses to Native Speech and Music Using Multichannel EEG Signals: A Case Study

  • 将听觉通路建模为时变线性系统,用多通道脑电信号分析语音音乐的响应特性。
  • 识别出8-11 Hz(α波)、53-56 Hz(低γ波)和78-81 Hz(高γ波)为最强响应频带。
  • 发现10-13 Hz、27-29 Hz、62-64 Hz在各脑区间具有显著神经相干性,提示其在感知中的核心作用。

尽管母语语音与音乐的包络跟随反应(EFRs)在听觉处理与认知中起关键作用,但其频率特征(如主导频率与谱相干性)仍不明确。本文假设听觉通路是线性时变系统,以语音/音乐包络为输入,多通道脑电(EEG)信号为输出。通过时均谱响应与交叉谱密度两种方法,在人脑四个头皮位置分析该系统的传递函数。结果表明,α波段(8–11 Hz)、低γ波段(53–56 Hz)和高γ波段(78–81 Hz)为系统的主要响应峰值,可能参与母语感知、注意力维持、声学特征整合与记忆加工。交叉谱密度显示,10–13 Hz、27–29 Hz、62–64 Hz在所有通道对间具有共现的神经相干性。这些分布式的神经活动模式在母语者中频繁出现,暗示它们在母语语音与音乐感知中的核心地位。

原文摘要 · Abstract (English)

Although native speech and music envelope following responses (EFRs) play a crucial role in auditory processing and cognition, their frequency profile, such as the dominating frequency and spectral coherence, is largely unknown. We have assumed that the auditory pathway - which transmits envelope components of speech and music to the scalp through time-varying neurophysiological processes - is a linear time-varying system, with the envelope and the multi-channel EEG responses as excitation and response, respectively. This paper investigates the transfer function of this system through two analytical techniques - time-averaged spectral responses and cross-spectral density - in the frequency domain at four different positions of the human scalp. Our findings suggest that alpha (8-11 Hz), lower gamma (53-56 Hz), and higher gamma (78-81 Hz) bands are the peak responses of the system. These frequently appearing dominant frequency responses may be the key components of familiar speech perception, maintaining attention, binding acoustic features, and memory processing. The cross-spectral density, which reflects the spatial neural coherence of the human brain, shows that 10-13 Hz, 27-29 Hz, and 62-64 Hz are common for all channel pairs. As neural coherences are frequently observed in these frequencies among native participants, we suggest that these distributed neural processes are also dominant in native speech and music perception.

脑电分析听觉神经频率响应神经相干性

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