Shen Yuhao, Wang Chunli, Chen Xiao, Lu Bin, Li Xue-Ying, Wang Zi-Han, Cao Li-Ping, Chen Guan-Mao, Chen Jian-Shan, Chen Tao, Chen Tao-Lin, Cheng Yu-Qi, Chu Zhao-Song, Cui Shi-Xian, Cui Xi-Long, Deng Zhao-Yu, Gong Qi-Yong, Guo Wen-Bin, He Can-Can, Hu Zheng-Jia-Yi, Huang Qian, Ji Xin-Lei, Jia Feng-Nan, Kuang Li, Li Bao-Juan, Li Feng, Li Hui-Xian, Li Tao, Lian Tao, Liao Yi-Fan, Liu Xiao-Yun, Liu Yan-Song, Liu Zhe-Ning, Long Yi-Cheng, Lu Jian-Ping, Qiu Jiang, Shan Xiao-Xiao, Si Tian-Mei, Sun Peng-Feng, Wang Chuan-Yue, Wang Hua-Ning, Wang Xiang, Wang Ying, Wang Yu-Wei, Wu Xiao-Ping, Wu Xin-Ran, Wu Yan-Kun, Xie Chun-Ming, Xie Guang-Rong, Xie Peng, Xu Xiu-Feng, Xue Zhen-Peng, Yang Hong, Yu Hua, Yuan Min-Lan, Yuan Yong-Gui, Zhang Ai-Xia, Zhao Jing-Ping, Zhang Ke-Rang, Zhang Wei, Zhang Zi-Jing, Yan Chao-Gan, Zhu Jiajia, Yu Yongqiang
Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China; Research Center of Clinical Medical Imaging, Anhui Province, Hefei, China; Anhui Provincial Key Laboratory for Brain Bank Construction and Resource Utilization, Hefei, China.
Department of Clinical Laboratory, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Biol Psychiatry. 2025 Jul 16. doi: 10.1016/j.biopsych.2025.06.030.
Cortical morphological alterations are evident in major depressive disorder (MDD), yet the underlying neurobiological processes that contribute to their characteristic spatial pattern remain unclear.
Large-scale, multisite structural magnetic resonance imaging data from a homogeneous Chinese cohort of 1442 patients with MDD and 1277 healthy control participants 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 the structural connectome shapes MDD-related cortical morphological alterations, followed by performance of a network diffusion model to identify the epicenters.
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 epicenter 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 (Enhancing Neuro Imaging Genetics through Meta Analysis) cohort of 1902 patients with MDD and 7658 control participants.
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.
在重度抑郁症(MDD)中,皮质形态改变明显,但导致其特征性空间模式的潜在神经生物学过程仍不清楚。
使用来自1442例MDD患者和1277名健康对照参与者的同质中国队列的大规模、多中心结构磁共振成像数据来计算皮质形态测量值,对两组进行比较以确定MDD中的皮质形态改变。然后使用连接组约束模型来检查结构连接组是否塑造了与MDD相关的皮质形态改变,随后进行网络扩散模型以识别中心。
组间比较显示MDD患者皮质厚度(CT)广泛降低,前额叶皮质受影响更明显。基于标准结构连接组,我们根据其连接的邻居推导出每个脑节点的估计CT改变,发现经验性和估计的CT改变之间存在很强的空间相关性,表明结构连接组对MDD中皮质萎缩的约束。同时,我们将左侧前额叶皮质确定为皮质萎缩的假定中心。此外,对首发、早期和慢性MDD亚组的分析显示,随着病程延长,连接组约束降低。此外,我们的结果在几种方法学变化中具有稳健性,并且在1902例MDD患者和7658名对照参与者的跨种族ENIGMA(通过荟萃分析增强神经影像遗传学)队列中基本可重复。
这些发现代表了我们对MDD中基于网络的皮质萎缩传播理解的重大进展,并突出了左侧前额叶皮质作为早期干预关键靶点的前景。