声音抵消编码与老年人句子级别的语音噪音感知有关
Hasan Colak1,2, Xiaoxuan Guo1, Adèle Simon3
1Biosciences Institute, Newcastle University, Newcastle upon Tyne, UK.
The Journal of physiology
|December 16, 2025
概括
年龄较大的成年人.
科学领域:
- 听觉神经科学 听觉神经科学
- 认知神经科学 认知神经科学
- 老年学是一门学科.
背景情况:
- 听觉时间处理,包括声音开始和声音偏移编码,对于语音感知至关重要,特别是在杂的环境中.
- 了解听力处理中的与年龄相关的变化对于应对现实世界听力环境中老年人面临的挑战至关重要.
研究的目的:
- 在老年人中研究与活跃的声音抵消编码相关的脑活动 (EEG).
- 为了检查活跃的声音抵消编码和现实世界的语音噪音能力之间的关系.
主要方法:
- 34名老年人 (60-81岁) 完成了听力测试和语音噪音评估.
- 脑电图 (EEG) 记录了主动和被动倾听任务期间的大脑反应.
- 分析的重点是开始和抵消反应的幅度差异.
主要成果:
- 观察到强大的单个对象发病和抵消反应.
- 与被动倾听相比,主动倾听任务显示出更大的声音抵消反应,这表明注意力调节.
- 积极的声音抵消响应幅度与句子级,但不是单词级,语音在噪音中的表现有显著的相关性.
结论:
- 声音抵消编码受注意力影响,可能在语音分离中发挥作用.
- 声音抵消编码的活性EEG测量显示了作为评估老年人听觉认知的临床工具的潜力.
- 这些发现凸显了偏移处理对于理解老化中的句子级语音噪音感知的重要性.
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