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Frontiers in Neuroscience 重度抑郁症患者睡眠效率低下的脑结构和功能改变
影响因子:5.152 DOI:10.3389/fnins.2020.00050
作者: Ying Yang,Dao-min Zhu,Dao-min Zhu,Dao-min Zhu,Cun Zhang,Yu Zhang,Yu Zhang,Yu Zhang,Chunli Wang,Biao Zhang,Wenming Zhao,Jiajia Zhu,Yongqiang Yu 发表时间:2020-02-03 03:44:07
keywords: Ying YangDao-min ZhuDao-min ZhuDao-min ZhuCun ZhangYu ZhangYu ZhangYu ZhangChunli WangBiao ZhangWenming ZhaoJiajia ZhuYongqiang Yu
关键词: 重性抑郁障碍 磁共振成像 多导睡眠图 睡眠效率
Abstract
BackgroundSleep disturbance is common in patients with major depressive disorder (MDD), but the exploration of its neural underpinnings is limited by subjective sleep measurement and single-modality neuroimaging analyses.MethodsNinety six patients with MDD underwent polysomnography examinations and multi-modal magnetic resonance imaging (MRI) scans. According to sleep efficiency, patients were subdivided into well-matched normal sleep efficiency (NSE, N = 42; 14 men; aged 43 ± 10 years) and low sleep efficiency (LSE, N = 54; 23 men; aged 45 ± 12 years) groups. Inter-group differences in brain structure and function were examined by applying voxel-based morphometry (VBM), regional homogeneity (ReHo) and functional connectivity strength (FCS), and tract-based spatial statistics (TBSS) approaches to structural, functional, and diffusion MRI data, respectively.ResultsThere was no significant difference in gray matter volume (GMV) between the NSE and LSE groups. Compared with the NSE group, the LSE group showed increased axial diffusivity in the left superior and posterior corona radiata, and left posterior limb and retrolenticular part of internal capsule. In addition, the LSE group exhibited decreased ReHo in the bilateral lingual gyri and right postcentral gyrus yet increased FCS in the left angular gyrus relative to the NSE group. Moreover, validation analyses revealed that these results remained after adjusting for the medication effect.ConclusionOur data indicate that preserved gray matter morphology, impaired white matter integrity, and decreased local synchronization degree yet increased FCS are specific to low SE in MDD patients. These findings of disassociation between structural and functional alterations might provide insights into the neural mechanisms of sleep disturbance in depression.
摘 要
背景睡眠障碍在重度抑郁障碍 (MDD) 患者中很常见,但对其神经基础的探索受到主观睡眠测量和单模态神经影像学分析的限制。方法对 6 例 MDD 患者进行多导睡眠图检查和多模态磁共振成像 (MRI) 扫描。根据睡眠效率,将患者分为匹配良好的正常睡眠效率 (NSE,N = 42; 14 名男性; 年龄 43 ± 10 岁) 和低睡眠效率 (LSE, N = 54; 男性 23 例; 年龄 45 ± 12 岁) 组。应用基于体素的形态测量学 (VBM) 、区域同质性 (ReHo) 和功能连接强度 (FCS) 检测脑结构和功能的组间差异, 和基于束的空间统计 (TBSS) 方法分别用于结构、功能和弥散 MRI 数据。结果灰质体积 (GMV) 差异无统计学意义。NSE 和 LSE 组之间。与 NSE 组相比,LSE 组在左侧上、后放射冠,左侧后肢和内囊后晶状体部的轴向扩散系数增加。此外,与 NSE 组相比,LSE 组双侧舌回和右侧中央后回的 ReHo 降低,左侧角回的 FCS 增加。此外,验证分析显示,调整用药效果后这些结果仍然存在。结论我们的数据表明,在 MDD 患者中,灰质形态保留、白质完整性受损、局部同步化程度降低但 FCS 增加是低 SE 特有的。这些结构和功能改变之间分离的发现可能为抑郁症睡眠障碍的神经机制提供见解。
期刊介绍
《Frontiers in Neuroscience》 (点击进入期刊详情)
英文简介 : Frontiers in Neuroscience is a leading journal in its field, publishing rigorously peer-reviewed research across a wide spectrum of specialties and disciplines. Field Chief Editor Idan Segev at the Hebrew University of Jerusalem is supported by an outstanding Editorial Board of international researchers. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide. These are historical times for brain research - namely for the Brain itself. The convergence of novel molecular and optical techniques paves the way to the era of "causation neuroscience," whereby many thousands of cells composing the system studied can be recorded from and manipulated in a very specific manner (e.g. via "optogenetics") and the behavioral and functional consequences of these manipulations explored in vivo. It is also a new era of "anatomical neuroscience" - as recently developed techniques, both at the whole-brain level ("connectome") and the local circuit and synaptic level ("connectomics") become more widely used. These approaches allow us to link structure of specific brain regions and local circuits to function more astutely. New research fields have recently emerged, e.g. "neuroeconomics" and "neuroenergetics." In addition, and critically, in our information-generating world, new informatics-based methods are being developed to store the enormous amount of new “big data” in a systematic manner, for data-preservation, data-mining and for extracting key information from these data. And, importantly, theoretical and computational approaches are being developed for integrating this diverse data and for deriving principles of brain operations that may otherwise lie hidden within the intricacies of brain circuits. As the field is growing fast, we seek to integrate and cross-link studies and citations in related subfields, providing an overview of the state-of-the-art in these fields and the ways in which they complement each other. After all, we may each of us look at the brain from particular standpoints - all the way from "genes to behavior" - yet the brain integrates all these levels seamlessly; this journal should reflect this in the best possible way.
中文简介 : (来自Google、百度翻译) 《神经科学前沿》是该领域的领军期刊,发表了广泛的专业和学科的同行评审研究。耶路撒冷希伯来大学的现场总编辑伊丹·塞格夫得到了一个杰出的国际研究人员编辑委员会的支持。这本多学科开放获取期刊是向研究人员、学者、临床医生和全世界公众传播和交流科学知识和有影响力的发现的前沿。 这是大脑研究的历史时期——也就是大脑本身。新的分子和光学技术的融合为“因果神经科学”的时代铺平了道路,在这一时代,构成所研究系统的数千个细胞可以以一种非常特殊的方式(例如通过“光遗传学”)进行记录和操作,以及这些操作在体内的行为和功能后果。这也是一个“解剖神经科学”的新时代——正如最近发展的技术,无论是在整个大脑层面(“连接体”),局部回路和突触层面(“连接体”)都得到了更广泛的应用。这些方法使我们能够将特定大脑区域的结构和局部电路联系起来,从而更加敏锐地发挥作用。最近出现了新的研究领域,如“神经经济学”和“神经能量学”。此外,而且,至关重要的是,在我们的信息生成世界中,正在开发基于信息学的新方法,以系统地存储大量新的“大数据”,用于数据保存、数据挖掘和提取关键信息。从这些数据中。而且,重要的是,理论和计算方法正在开发中,以整合这些不同的数据,并推导出可能隐藏在错综复杂的大脑回路中的大脑操作原理。 随着该领域的快速发展,我们试图整合和交叉链接相关子领域的研究和引文,概述这些领域的最新技术及其相互补充的方式。毕竟,我们每个人都可能从特定的角度看待大脑——从“基因”到行为——然而大脑无缝地整合了所有这些层面;这本杂志应该以最好的方式反映这一点。
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