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基于体素和源的形态测量法揭示的成人重度抑郁症患者脑结构异常:来自REST-meta-MDD联盟的证据。

Brain structural abnormalities in adult major depressive disorder revealed by voxel- and source-based morphometry: evidence from the REST-meta-MDD Consortium.

作者信息

Wang KangCheng, Hu YuFei, Yan ChaoGan, Li MeiLing, Wu YanJing, Qiu Jiang, Zhu XingXing

机构信息

School of Psychology, Shandong Normal University, Jinan, Shandong, China.

CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China.

出版信息

Psychol Med. 2023 Jun;53(8):3672-3682. doi: 10.1017/S0033291722000320. Epub 2022 Feb 15.

Abstract

BACKGROUND

Neuroimaging studies on major depressive disorder (MDD) have identified an extensive range of brain structural abnormalities, but the exact neural mechanisms associated with MDD remain elusive. Most previous studies were performed with voxel- or surface-based morphometry which were univariate methods without considering spatial information across voxels/vertices.

METHODS

Brain morphology was investigated using voxel-based morphometry (VBM) and source-based morphometry (SBM) in 1082 MDD patients and 990 healthy controls (HCs) from the REST-meta-MDD Consortium. We first examined group differences in regional grey matter (GM) volumes and structural covariance networks between patients and HCs. We then compared first-episode, drug-naïve (FEDN) patients, and recurrent patients. Additionally, we assessed the effects of symptom severity and illness duration on brain alterations.

RESULTS

VBM showed decreased GM volume in various regions in MDD patients including the superior temporal cortex, anterior and middle cingulate cortex, inferior frontal cortex, and precuneus. SBM returned differences only in the prefrontal network. Comparisons between FEDN and recurrent MDD patients showed no significant differences by VBM, but SBM showed greater decreases in prefrontal, basal ganglia, visual, and cerebellar networks in the recurrent group. Moreover, depression severity was associated with volumes in the inferior frontal gyrus and precuneus, as well as the prefrontal network.

CONCLUSIONS

Simultaneous application of VBM and SBM methods revealed brain alterations in MDD patients and specified differences between recurrent and FEDN patients, which tentatively provide an effective multivariate method to identify potential neurobiological markers for depression.

摘要

背景

对重度抑郁症(MDD)的神经影像学研究已经确定了广泛的脑结构异常,但与MDD相关的确切神经机制仍然难以捉摸。以前的大多数研究采用基于体素或表面的形态测量法,这些都是单变量方法,未考虑体素/顶点间的空间信息。

方法

使用基于体素的形态测量法(VBM)和基于源的形态测量法(SBM),对来自REST-meta-MDD联盟的1082例MDD患者和990例健康对照(HCs)进行脑形态学研究。我们首先检查了患者和HCs之间区域灰质(GM)体积和结构协方差网络的组间差异。然后我们比较了首发、未用药的(FEDN)患者和复发患者。此外,我们评估了症状严重程度和病程对脑改变的影响。

结果

VBM显示MDD患者多个区域的GM体积减少,包括颞上叶皮质、前扣带回和中扣带回皮质、额下回和楔前叶。SBM仅在前额叶网络中发现差异。FEDN患者和复发MDD患者之间的比较显示,VBM未发现显著差异,但SBM显示复发组在前额叶、基底神经节、视觉和小脑网络中有更大程度的减少。此外,抑郁严重程度与额下回和楔前叶的体积以及前额叶网络有关。

结论

VBM和SBM方法的同时应用揭示了MDD患者的脑改变,并明确了复发患者和FEDN患者之间的差异,这初步提供了一种有效的多变量方法来识别抑郁症潜在的神经生物学标志物。

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