默认模式网络的功能连接性预测了患有失眠症状的人随后的多睡眠测量睡眠
William D S Killgore1, Samantha Jankowski, Kymberly Henderson-Arredondo
1Social, Cognitive, and Affective Neuroscience Laboratory, Department of Psychiatry University of Arizona, Tucson, Arizona, USA.
Neuroreport
|August 22, 2023
概括
在失眠中过度的睡眠前反与默认模式网络 (DMN) 有关. 更强大的DMN连接预测更好的睡眠,这表明针对DMN活动的干预措施可能会改善睡眠质量.
科学领域:
- 神经科学是一个神经科学.
- 睡眠医学 睡眠医学
- 认知心理学 认知心理学
背景情况:
- 失眠经常涉及过度的睡眠前反.
- 沉默的思维与增加的默认模式网络 (DMN) 连接性相关.
- DMN连接和反与失眠的发展有关.
研究的目的:
- 调查睡前DMN的休息状态功能连接 (rsFC) 是否可以预测失眠患者的客观睡眠指标.
- 探索DMN连接模式和多睡眠学 (PSG) 测量睡眠参数之间的关系.
主要方法:
- 20名患有失眠症状的参与者在晚上早些时候接受了rsFC扫描.
- 然后,参与者进行了一晚的PSG测量睡眠.
- 使用FDR校正 (P <0.05) 对PSG睡眠指标 (觉醒时间,N1,N2,N3,REM,TST,SE) 进行DMN连接的回归.
主要成果:
- 脑皮层DMN连接与觉醒时间和N1睡眠负相关,但与REM睡眠,总睡眠时间 (TST) 和睡眠效率 (SE) 有正相关.
- 连接DMN与pons与SE负相关.
- 特定的区域,如直角环,前角环,岛环,轨道前皮层,上额环和状环,显示出显著的相关性.
结论:
- 在患有失眠症状的个体中,DMN和与执行功能,意识和认知相关的皮质区域之间增强的rsFC预测了更好的睡眠结果.
- 研究结果表明,减少睡眠前DMN激活的干预措施可以减轻反和睡眠困难之间的联系.
- 针对DMN活动可能为失眠提供一种新的治疗方法.
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