在多个时间尺度上的语音和非语音时间信息的神经处理中的半球横向性
Shunsuke Tamura1, Hidehiko Okamoto2
1Department of Psychiatry, Faculty of Medicine, University of Miyazaki, Miyazaki, Japan; Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Neuropsychologia
|June 7, 2025
概括
右半球通过高马波段活动处理语音时间信息,用于精细结构和太波段活动用于时间包裹,帮助语音识别.
科学领域:
- 神经科学是一个神经科学.
- 听觉神经科学 听觉神经科学
- 语音处理 语音处理
背景情况:
- 在语音处理中神经振荡的半球横向性尚未完全理解.
- 这些神经活动的言语和语言特异性仍然难以捉摸.
研究的目的:
- 为了研究响应语音和非语音刺激时的和高马波段活动的横向性模式.
- 检查时间细结构和外在听觉处理中的作用.
主要方法:
- 磁脑电图 (MEG) 用于测量神经振荡活动.
- 演示了语音 (单调语音,噪声编码语音) 和非语音 (振幅调节的点击列车,噪音) 刺激.
- 分析重点是以时空特征相锁定的theta (4-8Hz) 和高马频段 (>80Hz) 活动.
主要成果:
- 精细结构的刺激 (语音和非语音) 引发了更强烈的右半球活动 (5 Hz 和 80 Hz).
- 右半球西塔波段功率下降后向演讲,表明语言特异性处理.
- 高马波段活动涉及到处理时细结构的语音和非语音声音.
结论:
- 右半球对于通过高马波段活动来听觉处理时细结构至关重要.
- 右半球的泰达波段活动有助于识别基于时包的语音信号.
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