对中度至重度阻塞性睡眠呼吸暂停患者的动态网络重新配置的多层网络分析及其与神经认知功能的关联
Yijie Huang1, Chong Shen2, Wei Zhao3
1Department of Radiology, The Second Xiangya Hospital of Central South University, Changsha, Hunan Province, China.
Sleep medicine
|November 13, 2023
概括
阻塞性睡眠呼吸暂停 (OSA) 患者表现出大脑网络动态的破坏,与认知缺陷相关的网络切换率较低. 这项研究强调了动态网络变化是OSA相关神经认知功能障碍的一个关键因素.
科学领域:
- 神经科学是一个神经科学.
- 睡眠医学 睡眠医学
- 网络科学 网络科学
背景情况:
- 阻塞性睡眠呼吸暂停 (OSA) 与大脑网络中断和认知障碍有关.
- 以前的研究主要集中在静态的大脑网络上,忽视了它们的动态性质.
- 大脑功能本质上是动态的,随着时间的推移不断演变.
研究的目的:
- 为了研究中度至重度OSA患者的动态功能网络特征.
- 利用动态网络的多层网络分析.
- 为了比较动态网络变化与OSA患者的神经认知功能.
主要方法:
- 包括27名中度至重度OSA患者和25名健康对照 (HC).
- 通过爱普沃思睡眠度量 (ESS),神经认知测试,多睡眠学和功能磁共振成像 (fMRI) 收集数据.
- 分析了静态功能网络的动态变化,使用网络切换速率及其与临床参数的相关性.
主要成果:
- 与HC相比,OSA患者的全球网络切换率明显较低 (p=0.002).
- 在默认模式网络 (DMN),听觉网络和腹部注意力网络中观察到特定的网络变化.
- 改变的切换率与ESS得分,睡眠参数和神经认知功能有显著的相关性.
结论:
- 中度至重度的OSA患者表现出减少的网络切换率,特别是在DMN,听觉和腹部注意力网络.
- 动态功能性大脑网络的干扰可能代表OSA中神经认知功能障碍的关键机制.
- 动态网络分析为OSA的神经生物学影响提供了新的见解.
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