Disrupted rich-club network organization and individualized identification of patients with major depressive disorder
Disrupted rich-club network organization and individualized identification of patients with major depressive disorder
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富有俱乐部网络组织的破坏和重度抑郁症患者的个性化识别
DOI：
10.1016/j.pnpbp.2020.110074
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发表时间：
2021-03-31
影响因子：
5.6
通讯作者：
Xie, Chunming
中科院分区：
文献类型：
--
作者：
Liu, Xinyi;He, Cancan;Xie, Chunming
背景：在重性抑郁症（MDD）患者中，改变的结构和功能脑网络已被广泛研究。然而，从结构脑网络分析中评估的富人俱乐部组织中的差异连接模式以及这些区域的相关连接是否特别容易受到抑郁症的影响仍不清楚。研究方法：我们从31名未服药的MDD患者和32名认知正常（CN）受试者中获得静息态功能磁共振成像（R-fMRI）和弥散张量成像（DTI），并完成了一系列神经心理学测试。丰富的俱乐部组织，网络特性，结构和功能连接（SC-FC）之间的耦合进行了探讨。此外，这些指标是否可能提供有效的临床预测价值的MDD患者进行了检查。结果如下：抑郁症患者表现出破坏结构丰富的俱乐部组织和模块化，以及全球效率和丰富的俱乐部组织之间的一个明显的相关模式。重要的是，减少SC-FC耦合，反映了网络的完整性下降的协议，与结构丰富的俱乐部连接在MDD患者的强度显着相关。此外，被破坏的结构richclub组织，这主要是位于默认模式网络（DMN）和执行控制网络（ECN），成为一个有价值的指标，以区分MDD和CN。结论：这项研究的结果表明，破坏丰富的俱乐部结构组织显着影响大脑结构网络的模块化和完整性，并可以作为一个有前途的生物学标记，用于识别MDD患者。
Background: Altered structural and functional brain networks have been extensively studied in major depressive disorder (MDD) patients. However, whether the differential connectivity patterns in the rich-club organization, assessed from structural brain network analyses, and the associated connections of these regions are particularly susceptible to depression remain unclear. Methods: We acquired resting-state functional magnetic resonance imaging (R-fMRI) and diffusion tensor imaging (DTI) from 31 unmedicated MDD patients and 32 cognitively normal (CN) subjects and completed a series of neuropsychological tests. Rich-club organization, network properties, and coupling between structural and functional connectivity (SC-FC) were explored. Furthermore, whether these indices could potentially deliver effective clinical predictive value for MDD patients were examined. Results: The MDD patients showed disrupted structural rich-club organization and modularity, as well as a distinct correlation pattern between global efficiency and rich-club organization. Importantly, reduced SC-FC coupling, reflecting a decreased agreement in the integrity of the networks, was significantly associated with the strength of structural rich-club connections in the MDD patients. Furthermore, the disrupted structural richclub organization, which was primarily located in the default mode network (DMN) and executive control network (ECN), emerged as a valuable indicator to distinguish between MDD and CN. Conclusions: Findings of this study identified that the disrupted rich-club structural organization significantly influenced brain structural network modularity and integrity and could serve as a promising biological marker for the identification of MDD patients.