Xu Ziyun, Zhou Zhifeng, Tao Weiqun, Lai Wentao, Qian Long, Cui Wei, Peng Bo, Zhang Yingli, Hou Gangqiang
Neuropsychiatry Imaging Center, Department of Radiology, Shenzhen Kangning Hospital, Shenzhen Mental Health Center, Shenzhen, Guangdong, 518020, China.
Department of Psychiatry, Acute Intervention Female Ward 1, Shenzhen Kangning Hospital, Shenzhen Mental Health Center, Shenzhen, 518000, China.
J Psychiatr Res. 2025 Jan;181:206-213. doi: 10.1016/j.jpsychires.2024.11.038. Epub 2024 Nov 26.
Recurrent major depressive disorder (RDD) is increasingly understood to be associated with a 'disconnection' within the brain areas. But, the true understanding of cortical connectivities remains challenging. Morphometric similarity network (MSN) with multi-modal magnetic resonance imaging (MRI) could provide more information about cortical micro-architecture changes in individuals with RDD.
Here, we integrated multi-modal features from T1-weighted imaging, diffusion tensor imaging (DTI), and inhomogeneous magnetization transfer imaging (ihMT) to construct MSN. We used graph theory to calculate topological changes in MSN and explore their relationship with the severity and recurrence. The topological properties of 42 RDD patients were compared with 56 age, sex, and education-matched healthy controls.
RDD subjects showed significantly decreased global efficiency, increased characteristic path length, reduced nodal efficiencies in the parietal lobe, subcortical area, and temporal lobe, increased betweenness centrality in the left supplementary motor area (SMA), decreased intra-modular connections in the parietal module and decreased inter-modular connections between the parietal and prefrontal modules. Notably, the global efficiency, characteristic path length, local efficiency of the right superior parietal gyrus, and inter-modular connections between the parietal and prefrontal modules were significantly associated with the number of depressive episodes. The betweenness centrality in SMA and the intra-modular connections in the parietal module showed a positive relationship with 17-item Hamilton Rating Scale for Depression (HAMD) scores.
The altered topology of MSN may serve as potential underlying pathological mechanisms of RDD. The impaired information integration of the network, particularly the disconnection within the fronto-parietal network, may be associated with the recurrence of depression. The SMA and the fronto-parietal network may be related to the severity of depression.
复发性重度抑郁症(RDD)越来越被认为与大脑区域之间的“连接中断”有关。但是,对皮质连接性的真正理解仍然具有挑战性。多模态磁共振成像(MRI)的形态相似性网络(MSN)可以提供更多关于RDD个体皮质微结构变化的信息。
在此,我们整合了来自T1加权成像、扩散张量成像(DTI)和非均匀磁化传递成像(ihMT)的多模态特征来构建MSN。我们使用图论来计算MSN中的拓扑变化,并探索它们与严重程度和复发的关系。将42例RDD患者的拓扑属性与56例年龄、性别和教育程度匹配的健康对照进行比较。
RDD受试者表现出全局效率显著降低、特征路径长度增加、顶叶、皮质下区域和颞叶的节点效率降低、左侧辅助运动区(SMA)的介数中心性增加、顶叶模块内连接减少以及顶叶和前额叶模块之间的模块间连接减少。值得注意的是,全局效率、特征路径长度、右侧顶上小叶的局部效率以及顶叶和前额叶模块之间的模块间连接与抑郁发作次数显著相关。SMA的介数中心性和顶叶模块内的连接与17项汉密尔顿抑郁量表(HAMD)评分呈正相关。
MSN拓扑结构的改变可能是RDD潜在的病理机制。网络信息整合受损,特别是额顶网络内的连接中断,可能与抑郁症的复发有关。SMA和额顶网络可能与抑郁症的严重程度有关。