年轻人和老年人在语音生成过程中的运动相关皮层电位和语音诱导抑制

IF 2.1 2区 心理学 Q1 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY
Pascale Tremblay , Marc Sato
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引用次数: 0

摘要

随着年龄的增长,语言系统会发生一些重要变化,这些变化会使语言的产生变得更加费力、缓慢,而且往往不那么清晰。然而,这些与年龄相关变化的神经机制仍不清楚。在这项脑电图研究中,我们检测了 20 名健康的年轻人和 20 名健康的老年人在言语运动控制中的两种重要机制:反映言语运动规划的言语运动前相关皮层电位 (MRCP) 和言语诱导抑制 (SIS),前者反映了言语运动指令的听觉预测。受试者在完成元音发音任务后,会被动聆听自己录制的元音。我们的研究结果表明,老年人与年轻人的 MRCP 存在很大差异。此外,虽然老年人在 N1 和 P2 上的潜伏期更长,但相比之下,SIS 却保持不变。观察到的 MRCP 缩短似乎可以解释与年龄相关的语音生成减慢,而 SIS 的保留则表明运动到听觉的整合完好无损。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Movement-related cortical potential and speech-induced suppression during speech production in younger and older adults

With age, the speech system undergoes important changes that render speech production more laborious, slower and often less intelligible. And yet, the neural mechanisms that underlie these age-related changes remain unclear. In this EEG study, we examined two important mechanisms in speech motor control: pre-speech movement-related cortical potential (MRCP), which reflects speech motor planning, and speaking-induced suppression (SIS), which indexes auditory predictions of speech motor commands, in 20 healthy young and 20 healthy older adults. Participants undertook a vowel production task which was followed by passive listening of their own recorded vowels. Our results revealed extensive differences in MRCP in older compared to younger adults. Further, while longer latencies were observed in older adults on N1 and P2, in contrast, the SIS was preserved. The observed reduced MRCP appears as a potential explanatory mechanism for the known age-related slowing of speech production, while preserved SIS suggests intact motor-to-auditory integration.

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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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