Evidence for early encoding of speech in blind people

IF 2.1 2区 心理学 Q1 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY
Yu-Lu Liu , Yu-Xin Zhang , Yao Wang, Ying Yang
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引用次数: 0

Abstract

Blind listeners rely more on their auditory skills than the sighted to adapt to unavailable visual information. However, it is still unclear whether the blind has stronger noise-related modulation compared with the sighted when speech is presented under adverse listening conditions. This study aims to address this research gap by constructing noisy conditions and syllable contrasts to obtain auditory middle-latency response (MLR) and long-latency response (LLR) in blind and sighted adults. We found that blind people showed higher MLR (Na, Nb, and Pa) and N1 amplitudes compared with sighted, while this phenomenon was not observed for mismatch negativity (MMN) during auditory discrimination in both quiet and noisy backgrounds, which might eventually affect stream segregation and facilitate the understanding of speech in complex environments, contributing to their more sensitive speech detection ability of blind people. These results had important implications regarding the interpretation of noise-induced changes in the early encoding of speech in blind people.
盲人早期语言编码的证据。
盲人听众比正常人更依赖他们的听觉技能来适应无法获得的视觉信息。然而,当语音在不利的听力条件下呈现时,盲人是否比正常人有更强的噪声相关调制尚不清楚。本研究旨在通过构建噪声条件和音节对比来获得盲人和视力正常的成年人的听觉中潜伏期反应(MLR)和长潜伏期反应(LLR),以弥补这一研究空白。我们发现,盲人的MLR (Na、Nb和Pa)和N1幅值高于正常人,而在安静和嘈杂背景下的听觉辨别过程中,失配负性(MMN)没有出现这种现象,这可能最终影响了流分离,促进了复杂环境下的语音理解,从而使盲人的语音检测能力更加敏感。这些结果对于解释盲人早期语音编码中噪声引起的变化具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Brain and Language
Brain and Language 医学-神经科学
CiteScore
4.50
自引率
8.00%
发文量
82
审稿时长
20.5 weeks
期刊介绍: An interdisciplinary journal, Brain and Language publishes articles that elucidate the complex relationships among language, brain, and behavior. The journal covers the large variety of modern techniques in cognitive neuroscience, including functional and structural brain imaging, electrophysiology, cellular and molecular neurobiology, genetics, lesion-based approaches, and computational modeling. All articles must relate to human language and be relevant to the understanding of its neurobiological and neurocognitive bases. Published articles in the journal are expected to have significant theoretical novelty and/or practical implications, and use perspectives and methods from psychology, linguistics, and neuroscience along with brain data and brain measures.
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