Khazaie Habibolah, Veronese Mattia, Noori Khadijeh, Emamian Farnoosh, Zarei Mojtaba, Ashkan Keyoumars, Leschziner Guy D, Eickhoff Claudia R, Eickhoff Simon B, Morrell Mary J, Osorio Ricardo S, Spiegelhalder Kai, Tahmasian Masoud, Rosenzweig Ivana
Sleep Disorders Research Center, Kermanshah University of Medical Sciences (KUMS), Kermanshah, Iran.
Sleep and Brain Plasticity Centre, Department of Neuroimaging, IoPPN, King's College, London, UK.
Neurosci Biobehav Rev. 2017 Jun;77:219-231. doi: 10.1016/j.neubiorev.2017.03.013. Epub 2017 Mar 23.
Functional neuroimaging techniques have accelerated progress in the study of sleep disorders. Considering the striking prevalence of these disorders in the general population, however, as well as their strong bidirectional relationship with major neuropsychiatric disorders, including major depressive disorder, their numbers are still surprisingly low. This review examines the contribution of resting state functional MRI to current understanding of two major sleep disorders, insomnia disorder and obstructive sleep apnoea. An attempt is made to learn from parallels of previous resting state functional neuroimaging findings in major depressive disorder. Moreover, shared connectivity biomarkers are suggested for each of the sleep disorders. Taken together, despite some inconsistencies, the synthesis of findings to date highlights the importance of the salience network in hyperarousal and affective symptoms in insomnia. Conversely, dysfunctional connectivity of the posterior default mode network appears to underlie cognitive and depressive symptoms of obstructive sleep apnoea.
功能神经成像技术加快了睡眠障碍研究的进展。然而，考虑到这些障碍在普通人群中的显著患病率，以及它们与包括重度抑郁症在内的主要神经精神障碍之间强烈的双向关系，其研究数量仍然少得惊人。本综述探讨静息态功能磁共振成像对当前理解两种主要睡眠障碍——失眠症和阻塞性睡眠呼吸暂停的贡献。我们试图借鉴以往在重度抑郁症中静息态功能神经成像研究结果的相似之处。此外，还针对每种睡眠障碍提出了共享的连接生物标志物。总体而言，尽管存在一些不一致之处，但迄今为止研究结果的综合凸显了突显网络在失眠症的过度觉醒和情感症状中的重要性。相反，后默认模式网络的功能连接障碍似乎是阻塞性睡眠呼吸暂停认知和抑郁症状的基础。
