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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]

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