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自我报告的睡眠质量调节焦虑和抑郁中的杏仁核静息态功能连接。

Self-Reported Sleep Quality Modulates Amygdala Resting-State Functional Connectivity in Anxiety and Depression.

作者信息

Klumpp Heide, Hosseini Bobak, Phan K Luan

机构信息

Mood and Anxiety Disorders Research Program, Department of Psychiatry, University of Illinois at Chicago, Chicago, IL, United States.

Department of Psychology, University of Illinois at Chicago, Chicago, IL, United States.

出版信息

Front Psychiatry. 2018 May 29;9:220. doi: 10.3389/fpsyt.2018.00220. eCollection 2018.

Abstract

Sufficient sleep plays an important role in neurocognitive function, yet, problematic sleep is ubiquitous in the general population. It is also frequently predictive of, and concurrent with, internalizing psychopathologies (IPs) such as anxiety and depression suggesting sleep quality is dimensional and transdiagnostic. Along with problematic sleep, IPs are characterized by negative affectivity, therefore, prominent neurobiological models of internalizing conditions involve the amygdala, a region central to emotion. In resting-state studies (independent of sleep considerations), abnormalities in amygdala-frontal functional connectivity are commonly observed suggesting emotion dysregulation may contribute to clinically-relevant phenotypes. In a separate line of research, studies of sleep deprivation, and insomnia disorder suggest sleep loss may alter amygdala-frontal connectivity. Taken together, findings point to shared neurobiology between sleep and emotion systems, however, the impact of sleep quality on the amygdala circuit in anxiety or depression is unclear. Therefore, we evaluated variance in naturalistic sleep quality on amygdala-based circuity in individuals with and without psychiatric illness. Resting-state fMRI data was collected in 87 un-medicated, treatment-seeking adults diagnosed with a primary anxiety disorder ( = 68) or primary depressive disorder ( = 19) in addition to healthy individuals ( = 40). Regression analysis was conducted with bilateral anatomical amygdala as seed regions and self-reported sleep quality was indexed with a validated self-report measure, the Pittsburgh Sleep Quality Index (PSQI). analysis was performed to evaluate whether diagnostic status (primary anxiety, primary depression, healthy) significantly explained functional connectivity results. Whole-brain regression analysis, controlling for anxiety and depression symptoms, revealed worse sleep quality (i.e., higher PSQI total scores) predicted increased left amygdala-subgenual anterior cingulate functional connectivity and reduced connectivity with posterior cerebellar lobe and superior temporal gyrus. For right amygdala, increased coupling with postcentral gyrus corresponded with worse sleep. analysis did not detect a significant relationship between diagnostic status and whole-brain findings. Results expand on previous studies and indicate variance in sleep quality tracks brain pathways involved in cognitive-emotion functions implicated in the neurobiology of IPs that may extend to individuals at risk for clinical anxiety or depression. Altogether, the clinical relevance of identifying phenotypes to improve our understanding of psychopathology may be improved by incorporating sleep quality.

摘要

充足的睡眠在神经认知功能中起着重要作用,然而,睡眠问题在普通人群中普遍存在。它还经常预示着内化性精神病理学(IPs),如焦虑和抑郁,并与之同时出现,这表明睡眠质量具有维度性和跨诊断性。与睡眠问题一样,IPs的特征是消极情感性,因此,内化性疾病的突出神经生物学模型涉及杏仁核,这是一个对情绪至关重要的区域。在静息状态研究(不考虑睡眠因素)中,通常观察到杏仁核-额叶功能连接异常,这表明情绪调节障碍可能导致临床相关表型。在另一项研究中,睡眠剥夺和失眠症的研究表明,睡眠不足可能会改变杏仁核-额叶连接。综合来看,研究结果表明睡眠和情绪系统之间存在共同的神经生物学,但睡眠质量对焦虑或抑郁中杏仁核回路的影响尚不清楚。因此,我们评估了自然睡眠质量的差异对患有和未患有精神疾病个体基于杏仁核的神经回路的影响。对87名未接受药物治疗、寻求治疗的成年人进行了静息态功能磁共振成像(fMRI)数据收集,这些成年人被诊断患有原发性焦虑症(n = 68)或原发性抑郁症(n = 19),此外还有健康个体(n = 40)。以双侧解剖杏仁核为种子区域进行回归分析,并用经过验证的自我报告量表匹兹堡睡眠质量指数(PSQI)对自我报告的睡眠质量进行评分。进行方差分析以评估诊断状态(原发性焦虑、原发性抑郁、健康)是否能显著解释功能连接结果。在控制焦虑和抑郁症状的全脑回归分析中,发现睡眠质量较差(即PSQI总分较高)预示着左侧杏仁核-膝下前扣带回功能连接增加,与后小脑叶和颞上回的连接减少。对于右侧杏仁核,与中央后回的耦合增加与睡眠质量较差相对应。方差分析未检测到诊断状态与全脑结果之间的显著关系。研究结果扩展了以往的研究,并表明睡眠质量的差异追踪了与IPs神经生物学中涉及认知-情绪功能的脑通路,这可能延伸到有临床焦虑或抑郁风险的个体。总之,通过纳入睡眠质量,识别表型以增进我们对精神病理学理解的临床相关性可能会得到改善。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c347/5987592/9454bd41d102/fpsyt-09-00220-g0001.jpg

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