动态大脑网络调节通过节奏呼吸和喘息:基于EEG的功能连接性研究
Kai Chen1,2, Yanfang Zhang3, Jiahao Cheng1
1Mental Health Education Center and School of Big Health Management, Xihua University, Chengdu, China.
Frontiers in physiology
|December 22, 2025
概括
呼吸模式显著改变大脑的功能连接 (FC) 和网络组织. 特定的呼吸状况,如屏息,显示出不同的神经特征,可能作为呼吸状态的生物标志物.
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
- 计算神经科学是一种神经科学.
背景情况:
- 众所周知,自愿呼吸机动可以调节皮质振荡.
- 在不同呼吸状态下,大脑功能连接 (FC) 的精确频率特异标志仍然不清楚.
研究的目的:
- 为了研究不同呼吸条件 (自律呼吸,喘息,电脑节奏呼吸) 对大脑FC的影响.
- 分析大脑网络组织中的特定频率变化,并确定呼吸系统疾病的潜在生物标志物.
主要方法:
- 脑电图 (EEG) 记录被用来捕捉三个呼吸条件下的大脑活动.
- 分析包括功率光谱密度 (PSD),相锁定值 (PLV) 和大脑网络特征 (集群系数,全球效率,本地效率,中心度).
主要成果:
- 观察到PSD的显著差异,在自律呼吸期间增加低频活动,在喘息期间增加高频活动.
- 在PLV分析中,通过呼吸状态发现大脑网络的显著调节.
- 大脑网络属性显示频率特定的变化,而α频段分类器在区分呼吸道疾病方面表现出很高的性能. 他们发现大脑连接和强迫生命能力 (FVC) 之间存在关联.
结论:
- 呼吸条件对大脑的功能连接和网络组织有着复杂的影响.
- 控制和不受控制的呼吸模式会影响神经组织,这表明有潜在的呼吸干预措施来增强认知功能.
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