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专业音乐家听觉皮层中元音和时间语音线索的编码:一项 EEG 研究。

The encoding of vowels and temporal speech cues in the auditory cortex of professional musicians: an EEG study.

机构信息

Division of Neuropsychology, Institute of Psychology, University of Zurich, Binzmühlestrasse 14/25, CH-8050 Zurich, Switzerland.

出版信息

Neuropsychologia. 2013 Jul;51(8):1608-18. doi: 10.1016/j.neuropsychologia.2013.04.007. Epub 2013 May 7.

DOI:10.1016/j.neuropsychologia.2013.04.007
PMID:23664833
Abstract

Here, we applied a multi-feature mismatch negativity (MMN) paradigm in order to systematically investigate the neuronal representation of vowels and temporally manipulated CV syllables in a homogeneous sample of string players and non-musicians. Based on previous work indicating an increased sensitivity of the musicians' auditory system, we expected to find that musically trained subjects will elicit increased MMN amplitudes in response to temporal variations in CV syllables, namely voice-onset time (VOT) and duration. In addition, since different vowels are principally distinguished by means of frequency information and musicians are superior in extracting tonal (and thus frequency) information from an acoustic stream, we also expected to provide evidence for an increased auditory representation of vowels in the experts. In line with our hypothesis, we could show that musicians are not only advantaged in the pre-attentive encoding of temporal speech cues, but most notably also in processing vowels. Additional "just noticeable difference" measurements suggested that the musicians' perceptual advantage in encoding speech sounds was more likely driven by the generic constitutional properties of a highly trained auditory system, rather than by its specialisation for speech representations per se. These results shed light on the origin of the often reported advantage of musicians in processing a variety of speech sounds.

摘要

在这里,我们应用了多特征失匹配负波(MMN)范式,以便在同质的弦乐演奏者和非音乐家样本中系统地研究元音和时间操纵的 CV 音节的神经表示。基于先前的工作表明音乐家的听觉系统具有更高的敏感性,我们预计会发现受过音乐训练的受试者会在 CV 音节的时间变化(即起始时间和持续时间)产生更大的 MMN 振幅。此外,由于不同的元音主要通过频率信息来区分,而音乐家在从声学流中提取音高(因此是频率)信息方面更具优势,我们还期望为专家提供元音的听觉表示增强的证据。与我们的假设一致,我们可以表明,音乐家不仅在时间言语线索的非注意编码中具有优势,而且在处理元音方面也具有优势。额外的“可察觉差异”测量表明,音乐家在编码语音声音方面的感知优势更可能是由高度训练的听觉系统的一般构成特性驱动的,而不是由其专门用于语音表示本身驱动的。这些结果揭示了音乐家在处理各种语音声音方面经常报告的优势的起源。

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