在噪音中听觉目标的音调变化的神经卷入
Xiaoxuan Guo1, Guangting Mai2, Yousef Mohammadi1
1Auditory Cognition Lab, Newcastle University Medical School, Framlington Place, Newcastle upon Tyne NE2 4HH, United Kingdom.
NeuroImage
|May 15, 2025
概括
对语音音调的神经传导 (F0) 预测了在噪音中理解语音. 在听觉刺激和自然语音中F0的大脑跟踪显示了类似的模式,表明独立于语言的高级处理. 时间响应功能的峰值振幅可能表明语音在噪音中的能力.
科学领域:
- 神经科学是一个神经科学.
- 听觉感知是一种听觉感知.
- 语音处理 语音处理
背景情况:
- 对声学线索的神经连接预测了语音中的噪音 (SPIN) 感知.
- 影响SPIN感知的分离声学特征具有挑战性.
- 听觉形象-背景 (AFG) 刺激模拟SPIN,没有语言混.
研究的目的:
- 在AFG与SPIN中比较pitch轮分析的神经基质.
- 调查在非语言和语言听觉场景中基调跟踪的脑机制.
- 确定神经卷入模式是否独立于语言内容.
主要方法:
- 测量了对自然SPIN和AFG刺激的脑电图 (EEG) 反应 (F0和1/f轮).
- 利用时间响应函数 (TRF) 来预测对听觉目标频率轨迹的EEG响应.
- 分析了传感器空间和源空间EEG数据,以将神经活动与SPIN性能相关联.
主要成果:
- 大脑显著跟踪 AFG 中的音调变化 (F0 和 1/f) 和 SPIN 中的 F0 在类似的延迟时间.
- 距离跟踪的大小仅在F0轮 (AFG与AFG相比) 中是相似的. 在这里,我们可以看到"SPIN").
- 音调跟踪精度在AFG的delta/theta频段很高,但在语音方面降低;SPIN性能与TRF峰值振幅相关.
结论:
- 人类大脑在语音和非语言听觉场景中可靠地跟踪基本频率 (F0) 轨迹.
- 与AFG跟踪相比,语音音调跟踪显示了theta频段的精度降低,尽管类似的神经模式和位置.
- 神经卷入引入了独立于语言内容的高级皮质机制;TRF峰值幅度是SPIN能力的潜在生物标志物.
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