Bellier Ludovic, Bouchet Patrick, Jeanvoine Arnaud, Valentin Olivier, Thai-Van Hung, Caclin Anne
Lyon Neuroscience Research Center, Brain Dynamics and Cognition team, INSERM U1028, CNRS UMR5292, Lyon, France; University Lyon 1, Lyon, France.
Psychophysiology. 2015 Apr;52(4):594-9. doi: 10.1111/psyp.12369. Epub 2014 Oct 20.
Topographies of speech auditory brainstem response (speech ABR), a fine electrophysiological marker of speech encoding, have never been described. Yet, they could provide useful information to assess speech ABR generators and better characterize populations of interest (e.g., musicians, dyslexics). We present here a novel methodology of topographic speech ABR recording, using a 32-channel low sampling rate (5 kHz) EEG system. Quality of speech ABRs obtained with this conventional multichannel EEG system were compared to that of signals simultaneously recorded with a high sampling rate (13.3 kHz) EEG system. Correlations between speech ABRs recorded with the two systems revealed highly similar signals, without any significant difference between their signal-to-noise ratios (SNRs). Moreover, an advanced denoising method for multichannel data (denoising source separation) significantly improved SNR and allowed topography of speech ABR to be recovered.
言语听觉脑干反应（言语ABR）的地形图，作为言语编码的一种精细电生理标记，从未被描述过。然而，它们可以提供有用信息来评估言语ABR发生器，并更好地表征感兴趣的人群（如音乐家、诵读困难者）。我们在此展示一种地形图言语ABR记录的新方法，使用32通道低采样率（5kHz）脑电图系统。将用这种传统多通道脑电图系统获得的言语ABR质量与用高采样率（13.3kHz）脑电图系统同时记录的信号质量进行比较。两个系统记录的言语ABR之间的相关性显示信号高度相似，它们的信噪比（SNR）没有任何显著差异。此外，一种用于多通道数据的先进去噪方法（去噪源分离）显著提高了SNR，并使言语ABR的地形图得以恢复。
