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语音和非语音音流中的变化和新颖性检测。

Change and novelty detection in speech and non-speech sound streams.

机构信息

Cognitive Brain Research Unit, Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland.

出版信息

Brain Res. 2010 Apr 23;1327:77-90. doi: 10.1016/j.brainres.2010.02.052. Epub 2010 Feb 24.

Abstract

The aim of the present study was to determine differences in cortical processing of consonant-vowel syllables and acoustically matched non-speech sounds, as well as novel human and nonhuman sounds. Event-related potentials (ERPs) were recorded to vowel, vowel duration, consonant, syllable intensity, and frequency changes as well as corresponding changes in their non-speech counterparts with the multi-feature mismatch negativity (MMN) paradigm. Enhanced responses to linguistically relevant deviants were expected. Indeed, the vowel and frequency deviants elicited significantly larger MMNs in the speech than non-speech condition. Minimum-norm source localization algorithm was applied to determine hemispheric asymmetry in the responses. Language relevant deviants (vowel, duration and - to a lesser degree - frequency) showed higher activation in the left than right hemisphere to stimuli in the speech condition. Novel sounds elicited novelty P3 waves, the amplitude of which for nonhuman sounds was larger in the speech than non-speech condition. The current MMN results imply enhanced processing of linguistically relevant information at the pre-attentive stage and in this way support the domain-specific model of speech perception.

摘要

本研究旨在确定语言相关的辅音-元音音节和听觉匹配的非语音声音以及新的人类和非人类声音在皮质处理方面的差异。采用多特征失匹配负波(MMN)范式,记录到元音、元音时长、辅音、音节强度和频率变化以及相应的非语音对应变化的事件相关电位(ERP)。预计会对语言相关的偏差有增强的反应。实际上,在语音条件下,元音和频率偏差引起的 MMN 明显大于非语音条件。最小范数源定位算法用于确定响应的半球不对称性。语言相关的偏差(元音、时长,以及在较小程度上的频率)在语音条件下,刺激物在左半球的激活程度高于右半球。新的声音引发了新奇 P3 波,对于非人类声音,在语音条件下比非语音条件下的振幅更大。当前的 MMN 结果表明,在非注意阶段对语言相关信息的处理增强了,从而支持了言语感知的特定领域模型。

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