作为在复杂的声学环境中对年轻人和老年人的语音噪音理解指数的P300
Dylan V Pearson1, Yi Shen2, William P Hetrick3
1Department of Speech, Language, and Hearing Sciences, Indiana University, Bloomington, IN, United States.
Frontiers in neuroscience
|March 6, 2025
概括
对竞争的声音的神经反应,特别是P300振幅,预测了语音在噪音中的理解. 老年人表现出明显的P300模式,突出了注意力.
科学领域:
- 听觉神经科学 听觉神经科学
- 认知老龄化 认知老龄化
- 语音感知 语音感知
背景情况:
- 老龄化会影响语音噪音 (SPIN) 的感知,阻碍沟通.
- 老年人中SPIN困难背后的神经机制尚未完全理解.
- SPIN是复杂的,需要全面的评估和电生理学相关性.
研究的目的:
- 调查电生理学测量和SPIN在各种任务中的表现之间的关系.
- 在SPIN感知过程中表征神经反应的年龄相关差异.
- 为了识别SPIN理解的神经预测因素.
主要方法:
- 年轻人和年长的成年人在安静和喧的环境中听到讲话.
- 记录了P300事件相关的大脑潜力.
- 听众完成了各种SPIN识别任务.
主要成果:
- 噪声中的P300振幅,不是安静的,与SPIN性能相关.
- 年长的成年人表现出降低的P300振幅和更长的延迟.
- 与年龄相关的P300差异显示出更多的正面地形.
结论:
- 噪声中的P300振幅是SPIN能力的强有力的预测指标.
- 神经注意力机制对于理解与年龄相关的SPIN衰退至关重要.
- 电生理学测量为与年龄相关的沟通挑战提供了洞察力.
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