Zhang Ruibin, Kranz Georg S, Zou Wenjin, Deng Yue, Huang Xuejun, Lin Kangguang, Lee Tatia M C
The State Key Laboratory of Brain and Cognitive Science, The University of Hong Kong, Hong Kong, China; Laboratory of Social Cognitive and Affective Neuroscience, The University of Hong Kong, Hong Kong, China; Department of Psychology, School of Public Health, Southern Medical University (Guangdong Provincial Key Laboratory of Tropical Disease Research), China; Department of Psychiatry, Zhujiang Hospital, Southern Medical University, Guangzhou 510282, China.
The State Key Laboratory of Brain and Cognitive Science, The University of Hong Kong, Hong Kong, China; Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong, China; Department of Psychiatry and Psychotherapy, Medical University of Vienna, Austria.
Prog Neuropsychopharmacol Biol Psychiatry. 2020 Mar 2;98:109819. doi: 10.1016/j.pnpbp.2019.109819. Epub 2019 Nov 14.
Rumination is a central feature of major depressive disorder (MDD). Knowledge of the neural structures that underpin rumination offers significant insight into depressive pathophysiology and may help to develop potential intervention strategies for MDD, a mental illness that has become the leading cause of disability worldwide.
Using resting-state fMRI and graph theory, this study adopted a connectome approach to examine the functional topological organization of the neural network associated with rumination in MDD. Data from 96 participants were analyzed, including 51 patients with MDD and 45 healthy controls.
We found altered functional integration and segregation of neural networks associated with depressive rumination as indicated by reduced global and local efficiency in MDD patients compared with controls. Interestingly, these metrics correlated positively with depression severity, as measured by the Hamilton Depression Rating Scale. Moreover, mediation analysis indicated that the association between network metrics and depression severity was mediated by the ruminative tendency of patients. Disrupted nodal centralities were located in regions associated with emotional processing, visual mental imagery, and attentional control.
Our results highlight rumination as a two-edged sword that reflects a disease-specific neuropathology but also points to a functionality of depressive symptoms with evolutionary meaning.
反刍是重度抑郁症(MDD)的核心特征。了解支撑反刍的神经结构有助于深入理解抑郁的病理生理学,并可能有助于开发针对MDD的潜在干预策略,MDD已成为全球致残的主要原因。
本研究使用静息态功能磁共振成像(fMRI)和图论,采用连接组学方法研究MDD中与反刍相关的神经网络的功能拓扑组织。分析了96名参与者的数据,包括51名MDD患者和45名健康对照。
我们发现,与对照组相比,MDD患者的全局和局部效率降低,表明与抑郁性反刍相关的神经网络的功能整合和分离发生改变。有趣的是,这些指标与汉密尔顿抑郁量表测量的抑郁严重程度呈正相关。此外,中介分析表明,网络指标与抑郁严重程度之间的关联是由患者的反刍倾向介导的。节点中心性破坏位于与情绪处理、视觉心理意象和注意力控制相关的区域。
我们的结果强调反刍是一把双刃剑,它反映了一种疾病特异性的神经病理学,但也指出了具有进化意义的抑郁症状的一种功能性。