结构连接体结构影响重性抑郁症的皮质萎缩:一项中国DIRECT联合研究。

IF 9.6 1区 医学 Q1 NEUROSCIENCES
Yuhao Shen, Chunli Wang, Xiao Chen, Bin Lu, Xue-Ying Li, Zi-Han Wang, Li-Ping Cao, Guan-Mao Chen, Jian-Shan Chen, Tao Chen, Tao-Lin Chen, Yu-Qi Cheng, Zhao-Song Chu, Shi-Xian Cui, Xi-Long Cui, Zhao-Yu Deng, Qi-Yong Gong, Wen-Bin Guo, Can-Can He, Zheng-Jia-Yi Hu, Qian Huang, Xin-Lei Ji, Feng-Nan Jia, Li Kuang, Bao-Juan Li, Feng Li, Hui-Xian Li, Tao Li, Tao Lian, Yi-Fan Liao, Xiao-Yun Liu, Yan-Song Liu, Zhe-Ning Liu, Yi-Cheng Long, Jian-Ping Lu, Jiang Qiu, Xiao-Xiao Shan, Tian-Mei Si, Peng-Feng Sun, Chuan-Yue Wang, Hua-Ning Wang, Xiang Wang, Ying Wang, Yu-Wei Wang, Xiao-Ping Wu, Xin-Ran Wu, Yan-Kun Wu, Chun-Ming Xie, Guang-Rong Xie, Peng Xie, Xiu-Feng Xu, Zhen-Peng Xue, Hong Yang, Hua Yu, Min-Lan Yuan, Yong-Gui Yuan, Ai-Xia Zhang, Jing-Ping Zhao, Ke-Rang Zhang, Wei Zhang, Zi-Jing Zhang, Chao-Gan Yan, Jiajia Zhu, Yongqiang Yu
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引用次数: 0

摘要

背景:皮层形态改变在重度抑郁症(MDD)中很明显,但导致其特征空间模式的潜在神经生物学过程尚不清楚。方法:使用来自1442名中国MDD患者和1277名健康对照者的大规模、多位点结构MRI数据来计算皮质形态学测量,并在组间进行比较,以确定MDD患者的皮质形态学改变。然后使用连接组约束模型来检查结构连接组是否会影响mdd相关的皮层形态学改变,随后使用网络扩散模型来识别震中。结果:组间比较显示,MDD患者皮质厚度(CT)广泛下降,前额叶皮质受影响更明显。在规范结构连接体的基础上,我们根据其连接的邻居推导出每个脑节点的估计CT改变,并发现经验和估计CT改变之间存在很强的空间相关性,表明结构连接体对MDD皮质萎缩的约束。同时,我们确定左侧前额叶外侧皮层为假定的皮层萎缩中心。此外,对首发、早期和慢性重度抑郁症亚组的分析显示,随着病程的延长,连接体约束减少。此外,我们的结果对几种方法学的变化是稳健的,并且在1902名MDD患者和7658名对照者的跨种族ENIGMA队列中具有很大的可重复性。结论:这些发现代表了我们对MDD中皮层萎缩以网络为基础的传播的理解的实质性进展,并突出了左前额叶皮层作为早期干预的关键目标的前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Structural connectome architecture shapes cortical atrophy in major depression disorder: a Chinese DIRECT consortium study.

Background: Cortical morphological alterations are evident in major depressive disorder (MDD), yet the underlying neurobiological processes that contribute to their characteristic spatial pattern remain unclear.

Methods: Large-scale, multi-site structural MRI data from a homogeneous Chinese cohort of 1,442 MDD patients and 1,277 healthy controls were used to calculate cortical morphological measures, which were compared between groups to determine cortical morphological alterations in MDD. A connectome constraint model was then used to examine whether structural connectome shapes MDD-related cortical morphological alterations, followed by performance of a network diffusion model to identify the epicenters.

Results: Group comparisons demonstrated a broadly distributed cortical thickness (CT) reduction in MDD, with the prefrontal cortex affected more prominently. Based on the normative structural connectome, we derived the estimated CT alteration of each brain node according to its connected neighbors, and found a strong spatial correlation between the empirical and estimated CT alterations, indicating structural connectome constraint on cortical atrophy in MDD. Concurrently, we identified the left lateral prefrontal cortex as the putative epicenters of cortical atrophy. Moreover, analyses across first-episode, early-stage, and chronic MDD subgroups revealed reduced connectome constraint with increasing illness duration. Additionally, our results were robust against several methodological variations and were largely reproducible in the cross-ethnic ENIGMA cohort of 1,902 MDD patients and 7,658 controls.

Conclusions: These findings represent a substantial advance in our understanding of the network-based spread of cortical atrophy in MDD and highlight the prospect of the left prefrontal cortex as a key target for early interventions.

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来源期刊
Biological Psychiatry
Biological Psychiatry 医学-精神病学
CiteScore
18.80
自引率
2.80%
发文量
1398
审稿时长
33 days
期刊介绍: Biological Psychiatry is an official journal of the Society of Biological Psychiatry and was established in 1969. It is the first journal in the Biological Psychiatry family, which also includes Biological Psychiatry: Cognitive Neuroscience and Neuroimaging and Biological Psychiatry: Global Open Science. The Society's main goal is to promote excellence in scientific research and education in the fields related to the nature, causes, mechanisms, and treatments of disorders pertaining to thought, emotion, and behavior. To fulfill this mission, Biological Psychiatry publishes peer-reviewed, rapid-publication articles that present new findings from original basic, translational, and clinical mechanistic research, ultimately advancing our understanding of psychiatric disorders and their treatment. The journal also encourages the submission of reviews and commentaries on current research and topics of interest.
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