Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China.
Xinxiang Key Laboratory of Multimodal Brain Imaging, Henan Provincial Mental Hospital, Xinxiang Medical University, Xinxiang, Henan, China.
Transl Psychiatry. 2021 Apr 24;11(1):243. doi: 10.1038/s41398-021-01353-3.
Suicide ideation (SI) is a most high-risk clinical sign for major depressive disorder (MDD). However, whether the rich-club network organization as a core structural network is associated with SI and how the related neural circuits are distributed in MDD patients remain unknown. Total 177 participants including 69 MDD patients with SI (MDDSI), 58 MDD without SI (MDDNSI) and 50 cognitively normal (CN) subjects were recruited and completed neuropsychological tests and diffusion-tensor imaging scan. The rich-club organization was identified and the global and regional topological properties of structural networks, together with the brain connectivity of specific neural circuit architectures, were analyzed. Further, the support vector machine (SVM) learning was applied in classifying MDDSI or MDDNSI from CN subjects. MDDSI and MDDNSI patients both exhibited disrupted rich-club organizations. However, MDDSI patients showed that the differential network was concentrated on the non-core low-level network and significantly destroyed betweeness centrality was primarily located in the regional non-hub regions relative to MDDNSI patients. The differential structural network connections involved the superior longitudinal fasciculus and the corpus callosum were incorporated in the cognitive control circuit and default mode network. Finally, the feeder serves as a potentially powerful indicator for distinguishing MDDSI patients from MDDNSI or CN subjects. The altered rich-club organization provides new clues to understand the underlying pathogenesis of MDD patients, and the feeder was useful as a diagnostic neuroimaging biomarker for differentiating MDD patients with or without SI.
自杀意念（SI）是重性抑郁障碍（MDD）的高危临床征象。然而，丰富俱乐部网络组织作为核心结构网络是否与 SI 相关，以及相关的神经回路在 MDD 患者中是如何分布的，尚不清楚。共招募了 177 名参与者，包括 69 名有 SI 的 MDD 患者（MDDSI）、58 名无 SI 的 MDD 患者（MDDNSI）和 50 名认知正常（CN）受试者，并完成了神经心理学测试和弥散张量成像扫描。确定了丰富俱乐部组织，并分析了结构网络的全局和区域拓扑特性，以及特定神经回路结构的大脑连接。此外，还应用支持向量机（SVM）学习来对 MDDSI 或 MDDNSI 从 CN 受试者中进行分类。MDDSI 和 MDDNSI 患者均表现出丰富俱乐部组织的破坏。然而，MDDSI 患者的差异网络集中在非核心的低级网络中，与 MDDNSI 患者相比，显著破坏的介数中心性主要位于区域非枢纽区域。差异结构网络连接涉及上纵束和胼胝体，被纳入认知控制回路和默认模式网络。最后，馈线作为区分 MDDSI 患者与 MDDNSI 或 CN 受试者的潜在强大指标。改变的丰富俱乐部组织为理解 MDD 患者的潜在发病机制提供了新的线索，而馈线作为区分有或无 SI 的 MDD 患者的诊断神经影像学生物标志物是有用的。
