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使用交叠反卷积方法实现全范围听觉事件相关电位的快速获取。

Fast acquisition of full-range auditory event-related potentials using an interleaved deconvolution approach.

机构信息

Systems Neuroscience & Neurotechnology Unit, Saarland University, Faculty of Medicine, Neurocenter, Building 90.5, 66421 Homburg/Saar, Germany.

Department of Biomedical Engineering, College of Engineering, University of Miami, McArthur Engineering Building, 1251 Memorial Drive, Coral Gables, Florida 33124, USA.

出版信息

J Acoust Soc Am. 2019 Jan;145(1):540. doi: 10.1121/1.5087825.

Abstract

This work relates to recent advances in the field of auditory event-related potentials (ERP), specifically deconvolution-based ERP acquisition and single-trial processing. An efficient stimulus sequence optimization method for ERP deconvolution is proposed, achieving consistent noise attenuation within a broad designated frequency range. Furthermore, a stimulus presentation paradigm for the fast, interleaved acquisition of auditory brainstem, middle-latency and late responses featuring alternating periods of high-rate deconvolution sequences, and subsequent low-rate stimulation is investigated in 20 normal hearing subjects. Deconvolved sequence responses containing early and middle-latency ERP components are fused with subsequent late responses using a time-frequency resolved weighted averaging method based on cross-trial regularity, yielding a uniform signal-to-noise ratio of the full-range auditory ERP across investigated timescales. Obtained average ERP waveforms exhibit morphologies consistent with both literature values and reference recordings acquired in 15 normal hearing subjects using a prior art approach to full-range auditory ERP acquisition, with all prominent waves being visible in the grand average waveforms. Results suggest the proposed interleaved stimulus presentation and associated ERP processing methodology to be suitable for the fast, reliable extraction of full-range auditory processing correlates in future ERP studies.

摘要

本工作涉及听觉事件相关电位(ERP)领域的最新进展,特别是基于解卷积的 ERP 采集和单试处理。提出了一种有效的 ERP 解卷积刺激序列优化方法,可在较宽的指定频率范围内实现一致的噪声衰减。此外,在 20 名正常听力受试者中,研究了一种用于快速、交错采集听觉脑干、中潜伏期和晚期反应的刺激呈现范式,其特征是交替高率解卷积序列和随后的低率刺激期。使用基于跨试规则的时频分辨加权平均方法,将包含早期和中潜伏期 ERP 成分的解卷积序列响应与随后的晚期反应融合,在整个研究时间尺度上产生全范围听觉 ERP 的均匀信噪比。获得的平均 ERP 波形表现出与文献值和使用先前的全范围听觉 ERP 采集方法在 15 名正常听力受试者中获得的参考记录一致的形态,所有显著波在总体平均波形中都可见。结果表明,所提出的交错刺激呈现和相关的 ERP 处理方法适用于未来 ERP 研究中快速、可靠地提取全范围听觉处理相关性。

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