Dataset Information

Reduced default mode network functional connectivity in patients with recurrent major depressive disorder.

ABSTRACT: Major depressive disorder (MDD) is common and disabling, but its neuropathophysiology remains unclear. Most studies of functional brain networks in MDD have had limited statistical power and data analysis approaches have varied widely. The REST-meta-MDD Project of resting-state fMRI (R-fMRI) addresses these issues. Twenty-five research groups in China established the REST-meta-MDD Consortium by contributing R-fMRI data from 1,300 patients with MDD and 1,128 normal controls (NCs). Data were preprocessed locally with a standardized protocol before aggregated group analyses. We focused on functional connectivity (FC) within the default mode network (DMN), frequently reported to be increased in MDD. Instead, we found decreased DMN FC when we compared 848 patients with MDD to 794 NCs from 17 sites after data exclusion. We found FC reduction only in recurrent MDD, not in first-episode drug-naïve MDD. Decreased DMN FC was associated with medication usage but not with MDD duration. DMN FC was also positively related to symptom severity but only in recurrent MDD. Exploratory analyses also revealed alterations in FC of visual, sensory-motor, and dorsal attention networks in MDD. We confirmed the key role of DMN in MDD but found reduced rather than increased FC within the DMN. Future studies should test whether decreased DMN FC mediates response to treatment. All R-fMRI indices of data contributed by the REST-meta-MDD consortium are being shared publicly via the R-fMRI Maps Project.

SUBMITTER: Yan CG

PROVIDER: S-EPMC6500168 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature

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Reduced default mode network functional connectivity in patients with recurrent major depressive disorder.

Yan Chao-Gan CG Chen Xiao X Li Le L Castellanos Francisco Xavier FX Bai Tong-Jian TJ Bo Qi-Jing QJ Cao Jun J Chen Guan-Mao GM Chen Ning-Xuan NX Chen Wei W Cheng Chang C Cheng Yu-Qi YQ Cui Xi-Long XL Duan Jia J Fang Yi-Ru YR Gong Qi-Yong QY Guo Wen-Bin WB Hou Zheng-Hua ZH Hu Lan L Kuang Li L Li Feng F Li Kai-Ming KM Li Tao T Liu Yan-Song YS Liu Zhe-Ning ZN Long Yi-Cheng YC Luo Qing-Hua QH Meng Hua-Qing HQ Peng Dai-Hui DH Qiu Hai-Tang HT Qiu Jiang J Shen Yue-Di YD Shi Yu-Shu YS Wang Chuan-Yue CY Wang Fei F Wang Kai K Wang Li L Wang Xiang X Wang Ying Y Wu Xiao-Ping XP Wu Xin-Ran XR Xie Chun-Ming CM Xie Guang-Rong GR Xie Hai-Yan HY Xie Peng P Xu Xiu-Feng XF Yang Hong H Yang Jian J Yao Jia-Shu JS Yao Shu-Qiao SQ Yin Ying-Ying YY Yuan Yong-Gui YG Zhang Ai-Xia AX Zhang Hong H Zhang Ke-Rang KR Zhang Lei L Zhang Zhi-Jun ZJ Zhou Ru-Bai RB Zhou Yi-Ting YT Zhu Jun-Juan JJ Zou Chao-Jie CJ Si Tian-Mei TM Zuo Xi-Nian XN Zhao Jing-Ping JP Zang Yu-Feng YF

Proceedings of the National Academy of Sciences of the United States of America 20190412 18

Major depressive disorder (MDD) is common and disabling, but its neuropathophysiology remains unclear. Most studies of functional brain networks in MDD have had limited statistical power and data analysis approaches have varied widely. The REST-meta-MDD Project of resting-state fMRI (R-fMRI) addresses these issues. Twenty-five research groups in China established the REST-meta-MDD Consortium by contributing R-fMRI data from 1,300 patients with MDD and 1,128 normal controls (NCs). Data were prepr ...[more]

PMID: 30979801

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Project description:Antidepressants are often the first-line medications prescribed for patients with major depressive disorder (MDD). Given the critical role of the default mode network (DMN) in the physiopathology of MDD, the current study aimed to investigate the effects of antidepressants on the resting-state functional connectivity (rsFC) within and between the DMN subsystems. We collected resting-state functional magnetic resonance imaging (rs-fMRI) data from 36 unmedicated MDD patients at baseline and after escitalopram treatment for 12 weeks. The rs-fMRI data were also collected from 61 matched healthy controls at the time point with the same interval. Then, we decomposed the DMN into three subsystems based on a template from previous studies and computed the rsFC within and between the three subsystems. Finally, repeated measures analysis of covariance was conducted to identify the main effect of group and time and their interaction effect. We found that the significantly reduced within-subsystem rsFC in the DMN core subsystem in patients with MDD at baseline was increased after escitalopram treatment and became comparable with that in the healthy controls, whereas the reduced within-subsystem rsFC persisted in the DMN dorsal medial prefrontal cortex (dMPFC) and medial temporal subsystems in patients with MDD following escitalopram treatment. In addition, the reduced between-subsystem rsFC between the core and dMPFC subsystem showed a similar trend of change after treatment in patients with MDD. Moreover, our main results were confirmed using the DMN regions from another brain atlas. In the current study, we found different effects of escitalopram on the rsFC of the DMN subsystems. These findings deepened our understanding of the neuronal basis of antidepressants' effect on brain function in patients with MDD. The trial name: appropriate technology study of MDD diagnosis and treatment based on objective indicators and measurement. URL: http://www.chictr.org.cn/showproj.aspx?proj=21377 . Registration number: ChiCTR-OOC-17012566.

Dataset Information

Reduced default mode network functional connectivity in patients with recurrent major depressive disorder.

Publications

Reduced default mode network functional connectivity in patients with recurrent major depressive disorder.

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