大脑功能网络与睡眠障碍之间的因果关系:孟德尔的随机化研究
Wenting Lin1, Xiaoqin Chen2, Yuxing Wei3
1School of Rehabilitation and Health Preservation, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.
Brain and behavior
|October 8, 2025
概括
这项研究使用了门德尔的随机化来发现大脑网络功能与睡眠障碍之间的因果关系. 特定的大脑连接模式与白天小睡减少和阻塞性睡眠呼吸暂停风险增加有关.
科学领域:
- 神经成像是一种神经成像.
- 睡眠医学 睡眠医学
- 遗传学 是一个遗传学.
背景情况:
- 大脑休息状态功能网络功能障碍与睡眠障碍有关,但缺乏因果证据.
- 了解这些因果关系对于开发有针对性的干预措施至关重要.
研究的目的:
- 调查191个休息状态功能磁共振成像 (rsfMRI) 现型和八种睡眠障碍之间的因果关系.
- 利用双向双样本的门德尔随机化 (MR) 和多变量MR (MVMR) 来评估这些联系,并调整成行为.
主要方法:
- 来自英国生物银行和FinnGen. 的全基因组关联研究 (GWAS) 数据的分析.
- 选择符合MR假设的工具变量 (IV).
- 通过逆变量加权 (IVW) 方法进行初级因果估计,并进行全面的灵敏度分析.
主要成果:
- 突出和默认模式网络 (岛屿,带状,额头区域) 的功能连接性增加与白天小睡的风险降低了6%的因果关系.
- 在默认模式和中央执行网络 (前/前和前/前区域) 中,功能连接性提升与阻塞性睡眠呼吸暂停 (OSA) 风险增加16-18%有关.
- 多变量MR (MVMR) 表明,虽然咖啡摄入量不是混因素,但吸烟,酒精,茶和大麻使用可能会影响这些关联.
结论:
- 为特定的rsfMRI表型和睡眠障碍之间存在因果关系提供了有力的证据.
- 表明大脑功能网络是睡眠障碍的非侵入性干预的潜在目标,特别是考虑到成行为.
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