Dysfunction in sensorimotor and default mode networks in major depressive disorder with insights from global brain connectivity

Yajuan Zhang, Chu-Chung Huang, Jiajia Zhao, Yuchen Liu, Mingrui Xia, Xiaoqin Wang, Dongtao Wei, Yuan Chen, Bangshan Liu, Yanting Zheng, Yankun Wu, Taolin Chen, Yuqi Cheng, Xiufeng Xu, Qiyong Gong, Tianmei Si, Shijun Qiu, Jingliang Cheng, Yanqing Tang, Fei Wang, Jiang Qiu, Peng Xie, Lingjiang Li, Yong He, Ching-Po Lin, DIDA-Major Depressive Disorder Working Group, Chun-Yi Zac Lo
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Abstract

Major depressive disorder (MDD) is recognized as a severe mental illness with imbalanced interactions among brain networks. However, the detailed mechanisms of large-scale network dysfunction and their clinical implications are not fully understood. To explore the neurological basis of altered connectivity within the brain, the current case-control study aimed to examine large-scale connectivity coherence in MDD using resting-state functional magnetic resonance imaging data from 1,148 individuals with MDD and 1,079 healthy volunteers across nine research centers. Global brain connectivity (GBC) was estimated and compared between groups. Compared with healthy volunteers, individuals with MDD had decreased GBC in sensorimotor/visual networks and increased GBC mainly in default mode networks (DMNs) (voxel-level P < 0.001, cluster-level P < 0.05). These main findings were consistent across different clinical states of MDD, indicating their independence from clinical factors (P < 0.05, FDR-corrected). Further seed connectivity revealed that individuals with MDD had heightened connectivity between DMNs and primary sensory cortices, but reduced connectivity within primary sensory cortices (voxel-level P < 0.001, cluster-level P < 0.05). The findings suggest a network imbalance toward the DMNs at the expense of the sensorimotor/visual networks in individuals with MDD experiencing a depressive episode. These alterations, involving both higher-order cognitive systems and low-level sensory systems, could provide insights into understanding the multifaceted clinical and cognitive deficits observed in MDD. Using a large multisite dataset of people with major depressive disorder and healthy controls, the authors show global brain connectivity alterations in the sensorimotor, visual, and default mode networks.

Abstract Image

重度抑郁症患者的感觉运动和默认模式网络功能障碍与全局大脑连接的启示
重度抑郁障碍(MDD)被认为是一种严重的精神疾病,其大脑网络之间的相互作用失衡。然而,大规模网络功能失调的详细机制及其临床影响尚未完全明了。为了探索大脑连通性改变的神经学基础,目前的病例对照研究旨在利用九个研究中心的 1148 名 MDD 患者和 1079 名健康志愿者的静息态功能磁共振成像数据,研究 MDD 患者的大规模连通性一致性。研究人员估算了全脑连通性(GBC),并对不同组间的连通性进行了比较。与健康志愿者相比,多发性硬化症患者在感觉运动/视觉网络中的全局连接性降低,而主要在默认模式网络(DMN)中的全局连接性增加(体素水平 P < 0.001,群集水平 P < 0.05)。这些主要发现在 MDD 的不同临床状态下是一致的,表明它们与临床因素无关(P < 0.05,FDR 校正)。进一步的种子连通性显示,MDD患者的DMN与初级感觉皮层之间的连通性增强,但初级感觉皮层内部的连通性降低(体素水平P < 0.001,簇水平P < 0.05)。研究结果表明,在抑郁发作的 MDD 患者中,DMN 的网络失衡,牺牲了感觉运动/视觉网络。这些改变同时涉及高阶认知系统和低阶感觉系统,可以帮助人们理解在 MDD 中观察到的多方面临床和认知缺陷。作者利用一个由重度抑郁症患者和健康对照者组成的大型多站点数据集,显示了感官运动、视觉和默认模式网络的全局性大脑连接改变。
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