A better understanding of the neural mechanism of sleep initiation is helpful for sleep health. Our current study aimed to develop a new paradigm that is suitable for using resting-state functional magnetic resonance imaging (rs-fMRI) to investigate the inability to initiate sleep. We recruited 28 subjects from nearby communities, in addition to traditionally resting-state eyes-closed condition (EC), they were further asked to try-to-sleep (TTS) in the MRI scanner. Independent component analysis (ICA) was used to extract the large-scale brain networks. No significant difference was found between EC and TTS in the amplitude of brain activity, nor the functional connectivity. However, under the condition of TTS, there was a significant negative correlation between functional connectivity and sleep quality. The results suggesting that the stronger the functional connectivity between the visual network and default mode network, the worse the sleep quality. The results of our research presented here suggested the increased integration among the visual thought-related networks of poor sleepers during sleep onset. More importantly, this study attempt to combine the sleep latency test with resting-state fMRI, and it may help us to investigate the neural mechanism of sleep initiation problem.

更好地了解睡眠启动的神经机制有助于睡眠健康。我们目前的研究旨在开发一种适用于使用静息状态功能磁共振成像 (rs-fMRI) 来研究无法启动睡眠的新范式。我们从附近社区招募了 28 名受试者，除了传统的静息闭眼状态 (EC) 之外，他们还被要求在 MRI 扫描仪中尝试睡眠 (TTS)。独立成分分析（ICA）用于提取大规模脑网络。EC和TTS在大脑活动幅度和功能连接性方面没有显着差异。然而，在 TTS 条件下，功能连接与睡眠质量之间存在显着的负相关。结果表明，视觉网络和默认模式网络之间的功能连接性越强，睡眠质量越差。我们在此展示的研究结果表明，睡眠不足的人在入睡期间与视觉思维相关的网络之间的整合程度有所提高。更重要的是，本研究尝试将睡眠潜伏期测试与静息态功能磁共振成像相结合，有助于我们研究睡眠启动问题的神经机制。