周水管灰色的激活通过分布式大脑网络控制呼吸输出
Mitchell Prostebby1, Jashan Saini2, Vivian Biancardi1,2,3
1Neuroscience and Mental Health Institute, University of Alberta, Edmonton, AB, Canada.
周水管灰色 (PAG) 在威胁响应期间显著改变呼吸模式. 然而,其对呼吸的影响并不仅仅由前Bötzinger 综合体 (preBötC) 或侧面侧面区域 (pFL) 介导,这表明更广泛的神经网络参与.
科学领域:
- 神经科学是一个神经科学.
- 呼吸系统生理学 呼吸系统生理学
背景情况:
- 周水道灰色 (PAG) 对于威胁诱导的呼吸系统变化至关重要.
- 通过PAG激活影响正在进行的呼吸的确切机制和途径尚不清楚.
研究的目的:
- 研究PAG激活如何影响不同时间尺度上的呼吸肌活动.
- 为了确定下游大脑区域中介PAG对呼吸的影响.
- 测试特定的下游目标 (preBötC,pFL) 是否可以完全解释PAG的呼吸系统影响.
主要方法:
- 对PAG及其下游目标的光遗传刺激.
- 呼吸系统肌肉的电肌图 (EMG) 记录.
- cFOS映射用于识别激活的大脑区域.
主要成果:
- 直接的PAG刺激引起了显著的呼吸肌肉变化和呼吸节奏重置.
- 在preBötzinger复合体 (preBötC) 或侧面面膜区域 (pFL) 中PAG终端的刺激不能完全复制PAG的效果.
- 无论是preBötC还是pFL刺激本身都没有导致呼吸节律重置.
结论:
- PAG对呼吸的影响不仅仅是通过预测到preBötC或pFL进行调解的.
- 一个更广泛的脑干区域网络可能集成PAG的呼吸控制信号.
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