Rumination network dysfunction in major depression: A brain connectome study

被引:50
作者
Zhang, Ruibin [1 ,2 ,3 ,4 ]
Kranz, Georg S. [1 ,5 ,6 ]
Zou, Wenjin [7 ]
Deng, Yue [8 ]
Huang, Xuejun [8 ]
Lin, Kangguang [9 ,10 ]
Lee, Tatia M. C. [1 ,2 ,10 ,11 ]
机构
[1] Univ Hong Kong, State Key Lab Brain & Cognit Sci, Hong Kong, Peoples R China
[2] Univ Hong Kong, Lab Social Cognit & Affect Neurosci, Hong Kong, Peoples R China
[3] Southern Med Univ, Sch Publ Hlth, Guangdong Prov Key Lab Trop Dis Res, Dept Psychol, Guangzhou, Guangdong, Peoples R China
[4] Southern Med Univ, Zhujiang Hosp, Dept Psychiat, Guangzhou 510282, Guangdong, Peoples R China
[5] Hong Kong Polytech Univ, Dept Rehabil Sci, Hong Kong, Peoples R China
[6] Med Univ Vienna, Dept Psychiat & Psychotherapy, Vienna, Austria
[7] Guangzhou Med Univ, Dept Radiol, Affiliated Hosp, Guangzhou Huiai Hosp, Guangzhou, Guangdong, Peoples R China
[8] Guangzhou Med Univ, Dept Psychiat, Affiliated Hosp 2, Guangzhou, Guangdong, Peoples R China
[9] Guangzhou Med Univ, Affiliated Hosp, Guangzhou Huiai Hosp, Dept Affect Disorders, Guangzhou, Guangdong, Peoples R China
[10] Guangzhou Med Univ, Affiliated Hosp, Lab Emot & Cognit, Guangzhou, Guangdong, Peoples R China
[11] Guangdong Hong Kong Macao Greater Bay Area, Ctr Brain Sci & Brain Inspired Intelligence, Guangzhou, Guangdong, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
Rumination; Depression; Attentional control; Graph theory; Functional connectivity; STATE FUNCTIONAL CONNECTIVITY; DEFAULT-MODE; DISENGAGEMENT; ADOLESCENTS; PREDICTION; PATTERNS; DISORDER; AMYGDALA; HEALTHY; MODULES;
D O I
10.1016/j.pnpbp.2019.109819
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background: 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. Methods: 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. Results: 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. Conclusion: 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.
引用
收藏
页数:9
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