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有自杀倾向的重性抑郁障碍患者的单个体素灰质网络改变。

Alteration of single-subject gray matter networks in major depressed patients with suicidality.

机构信息

Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.

Department of Psychiatry, West China Hospital of Sichuan University, Chengdu, China.

出版信息

J Magn Reson Imaging. 2021 Jul;54(1):215-224. doi: 10.1002/jmri.27499. Epub 2020 Dec 31.

Abstract

While regional brain alterations and functional connectivity in depressed suicidal patients have previously been reported, knowledge about gray matter (GM) structural networks is limited. The aim of this study was to explore the GM of depressed suicidal brains from the single-subject structural network level. This was a cross-sectional study, in which 50 healthy controls (HC, 31 ± 9 years), 50 major depressed patients without suicidality (NSD, 29 ± 10 years), and 50 major depressed patients with suicidality (SU, 29 ± 12 years) were enrolled. T -weighted images (T WI) were acquired with three-dimensional-magnetization prepared rapid gradient echo sequence in 3.0 T magnetic resonance. The analysis was performed using the automated Computational Anatomy Toolbox (CAT12) within Statistical Parametric Mapping while running MATLAB. The T images were segmented into GM, white matter, and cerebrospinal fluid. Then single-subject structural networks were constructed based on the morphological similarity of GM regions. Global network topological properties, including clustering coefficient (C ), characterpath length (L ), normalized clustering coefficient (γ), normalized characteristic path length (λ), small-worldness (σ), global efficiency (E ), local efficiency (E ), and nodal network topological properties, including nodal efficiency, degree, and betweenness centrality, were measured using graph theory analysis. Statistical tests performed were analysis of variance, Pearson correlation analysis, and multiple linear regression analysis. Decreased E and increased shortest L were observed in SU group compared to HC and NSD groups (p < 0.05). The NSD and SU groups had an increased λ and decreased E compared to the HC group (p < 0.05). Altered nodal efficiency was found in the fronto-striatum-limbic-thalamic circuit in the SU group compared with the HC and NSD groups (all p < 0.05). The GM network in the SU group showed decreased segregation and weaker integration, that is weaker small-worldness, compared to the NSD and HC groups. Abnormal nodal efficiency was found in the fronto-striatum-limbic-thalamic circuit in suicidal brains. This study provides new evidence for therapeutic targets for patients with depression and suicidality. LEVEL OF EVIDENCE: 3 TECHNICAL EFFICACY STAGE: 3.

摘要

虽然先前已有报道称,抑郁自杀患者的大脑区域改变和功能连接存在异常,但对灰质(GM)结构网络的认识仍有限。本研究旨在从单个主体结构网络层面探索抑郁自杀患者的 GM。这是一项横断面研究,纳入了 50 名健康对照者(HC,31±9 岁)、50 名无自杀意念的重度抑郁患者(NSD,29±10 岁)和 50 名有自杀意念的重度抑郁患者(SU,29±12 岁)。在 3.0T 磁共振成像上采用三维磁化准备快速梯度回波序列采集 T1 加权图像(T1WI)。使用基于 MATLAB 运行的统计参数映射中的自动计算解剖工具箱(CAT12)进行分析。将 T1 图像分割为灰质、白质和脑脊液。然后基于 GM 区域形态相似性构建单个主体结构网络。使用图论分析测量全局网络拓扑属性,包括聚类系数(C)、特征路径长度(L)、标准化聚类系数(γ)、标准化特征路径长度(λ)、小世界性(σ)、全局效率(E)、局部效率(E)和节点网络拓扑属性,包括节点效率、度和介数中心性。进行方差分析、Pearson 相关分析和多元线性回归分析。与 HC 组和 NSD 组相比,SU 组的 E 降低,最短 L 增加(p<0.05)。NSD 组和 SU 组的 λ 增加,E 降低,与 HC 组相比(p<0.05)。与 HC 组和 NSD 组相比,SU 组的额-纹状体-边缘-丘脑回路中发现了改变的节点效率(均 p<0.05)。与 NSD 和 HC 组相比,SU 组的 GM 网络的分离减少,整合减弱,即小世界性减弱。在自杀者的大脑中,发现了额-纹状体-边缘-丘脑回路中异常的节点效率。本研究为抑郁和自杀患者的治疗靶点提供了新的证据。证据等级:3 技术功效分期:3

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