Risk of insomnia during COVID-19: effects of depression and brain functional connectivity
Risk of insomnia during COVID-19: effects of depression and brain functional connectivity
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DOI：
10.1093/cercor/bhad016
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发表时间：
2023-02-07
期刊：
影响因子：
3.7
通讯作者：
Lei, Xu
中科院分区：
文献类型：
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作者：
Tian, Yun;Vitiello, Michael V.;Lei, Xu
正常睡眠者在COVID-19期间可能有失眠的风险。确定预测失眠风险的心理因素和神经标志物，以及调查失眠发展的可能过程，可以在类似的公共卫生突发事件中对失眠进行更精确的有针对性的干预。采用306名参与者在COVID-19之前和期间的失眠严重程度指数来确定失眠的发展，同时使用COVID-19之前的心理测量和静息状态fMRI数据来探索失眠发展的相应心理和神经标志物。在COVID-19爆发后，正常睡眠者作为一个群体报告失眠症状显著增加（F = 4.618，P = 0.0102，df = 2，609.9）。抑郁症被发现显着有助于更严重的失眠（β = 0.066，P = 0.024）。随后的分析发现，中央前回和颞中/下回之间的功能连接介导了COVID-19前抑郁症与COVID-19期间失眠症状之间的关联。聚类分析发现，爆发后的失眠症状遵循3个过程（减轻，轻微恶化，发展为轻度失眠），而COVID-19前的抑郁症状和功能连接预测了这些过程。及时识别和治疗高危人群可能有助于避免在未来的医疗紧急情况下出现失眠，例如COVID-19变异引起的失眠。
Normal sleepers may be at risk for insomnia during COVID-19. Identifying psychological factors and neural markers that predict their insomnia risk, as well as investigating possible courses of insomnia development, could lead to more precise targeted interventions for insomnia during similar public health emergencies. Insomnia severity index of 306 participants before and during COVID-19 were employed to determine the development of insomnia, while pre-COVID-19 psychometric and resting-state fMRI data were used to explore corresponding psychological and neural markers of insomnia development. Normal sleepers as a group reported a significant increase in insomnia symptoms after COVID-19 outbreak (F = 4.618, P = 0.0102, df = 2, 609.9). Depression was found to significantly contribute to worse insomnia (beta = 0.066, P = 0.024). Subsequent analysis found that functional connectivity between the precentral gyrus and middle/inferior temporal gyrus mediated the association between pre-COVID-19 depression and insomnia symptoms during COVID-19. Cluster analysis identified that postoutbreak insomnia symptoms followed 3 courses (lessened, slightly worsened, and developed into mild insomnia), and pre-COVID-19 depression symptoms and functional connectivities predicted these courses. Timely identification and treatment of at-risk individuals may help avoid the development of insomnia in the face of future health-care emergencies, such as those arising from COVID-19 variants.