在自然对话中控制呼吸的中枢神经系统
Camilla Di Pasquasio1, Lila De Pellegrin1, Arthur Pineaud1
1Institut de Neurosciences de la Timone UMR 7289 Aix-Marseille Université - CNRS, 25 Bd Jean Moulin, 13385, Marseille cedex 5, France.
人类的对话需要精确的呼吸控制. 在社会交互过程中,脑后,大脑干和小脑的脑部区域协调呼吸预测.
科学领域:
- 神经科学
- 呼吸系统生理学
- 语言沟通
背景情况:
- 人类的社会互动在很大程度上依赖于发声和对话.
- 语音的产生需要同步的呼吸和发音.
- 需要预先呼吸才能说话.
研究的目的:
- 在实时对话中预测口语发声的关键大脑区域.
- 调查神经机制 底层的意志控制 呼吸 语音的生产.
主要方法:
- 使用功能性磁共振成像 (fMRI) 实时,不受约束的对话.
- 与语音发作相关的呼吸事件 (Resp+) 与与其无关的事件 (Resp-) 之间的脑活动对比.
- 分析的行为数据显示呼吸最大值大约在200毫秒之前开始发言.
主要成果:
- 在语音发作的呼吸预测过程中,在后中心,脑干和小脑中发现了显著的双边反应 (Resp+事件).
- 这些发现具有统计学意义 (pFWE<0.05,k>5cm3).
- 通过自动呼吸节奏来控制呼吸.
结论:
- 一个涉及中后,脑干和小脑的网络抑制自动呼吸以控制言语.
- 这些结构相互影响, 调节呼吸控制, 对于社会环境中的语音产生至关重要.
- 提供了人类沟通和相关疾病的神经基础的新见解.
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