Altered resting-state dynamic functional brain networks in major depressive disorder: Findings from the REST-meta-MDD consortium

NeuroImage: Clinical

Lei Zhang¹  Le Li²  Guanmao Chen³  Zhijun Zhang⁴  Chaogan Yan⁵  Yuqi Cheng⁶  Wei Chen⁶  Lan Hu⁶  Tongjian Bai⁶  Qijing Bo⁷  Hengyi Cao⁸  Jia Duan⁹  Yushu Shi^1,10  Haiyan Xie^1,10  Qiyong Gong^1,10  Zhenghua Hou^1,11  Ningxuan Chen^1,11  Chang Cheng^1,11  Francisco Xavier Castellanos^1,11  Qinghua Luo^1,12  Xiang Wang^1,12  Xilong Cui^1,13  Fei Wang^1,14  Xinran Wu^1,15  Yonggui Yuan^1,16  Rubai Zhou^1,17  Kaiming Li^1,17  Peng Xie^1,18  Yansong Liu^1,18  Jiang Qiu^1,19  Li Wang^1,19  Kai Wang^1,19  Ying Wang^1,19  Hong Zhang^2,20  Feng Li^2,21  Aixia Zhang^2,21  Yufeng Zang^2,21  Daihui Peng^2,21  Jian Yang^2,21  Yicheng Long^2,21  Tao Li^2,21  Xiao Chen^2,22  Calais Kin-yuen Chan^2,23  Jingping Zhao^2,23  Haitang Qiu^2,23  Yiting Zhou^2,24  Yingying Yin^2,24  Chunming Xie^2,24  Xiaoping Wu^2,25  Weidan Pu^2,26  Huaqing Meng^2,27  Tianmei Si^2,27  Kerang Zhang^2,28  Yuedi Shen^2,29  Chuanyue Wang^2,29  Guangrong Xie^3,30  Hong Yang^3,30  Chaojie Zou^3,31  Li Kuang^3,31  Wenbin Guo^3,32  Jiashu Yao^3,32  Junjuan Zhu^3,33  Xiufeng Xu^3,34  Yiru Fang^3,34  Zhening Liu^3,35  Shuqiao Yao^3,35 

[1] Chongqing Key Laboratory of Neurobiology, Chongqing 400016, China;Corresponding author at: Department of Psychology, Yale University, 2 Hillhouse Avenue, New Haven, CT 06511, USA.;Department of Child and Adolescent Psychiatry, NYU School of Medicine, New York, NY 10016, USA;Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China;Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06511, USA;Department of Psychology, University of Chinese Academy of Sciences, Beijing 100049, China;Magnetic Resonance Imaging Research Center and Research Center for Lifespan Development of Mind and Brain, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China;Mental Health Institute, Central South University, Changsha, Hunan 410011, China;Nathan Kline Institute for Psychiatric Research, Orangeburg, NY 10962, USA;Beijing Anding Hospital, Capital Medical University, Beijing 100088, China;CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing 100101, China;Clinical Research Center and Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China;Department of Child and Adolescent Psychiatry, NYU School of Medicine, New York, NY 10016, USA;Department of Clinical Psychology, Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu 215137, China;Department of Diagnostics, Affiliated Hospital, Medical School, Hangzhou Normal University, Hangzhou, Zhejiang 311121, China;Department of Neurology, Affiliated Zhongda Hospital of Southeast University, Nanjing, Jiangsu 210009, China;Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, China;Department of Psychiatry, First Affiliated Hospital, China Medical University, Shenyang, Liaoning 110001, China;Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China;Department of Psychiatry, The Fourth Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang 310058, China;Department of Psychiatry, The Second Xiangya Hospital, Central South University, 139 Middle Renmin Road, Changsha, Hunan 410011, China;Department of Psychology, Yale University, 2 Hillhouse Avenue, New Haven, CT 06511, USA;Department of Psychosomatics and Psychiatry, School of Medicine, Zhongda Hospital, Southeast University, Nanjing, Jiangsu 210096, China;Department of Radiology, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, Zhejiang 310058, China;Faculty of Psychology, Southwest University, Chongqing 400716, China;First Hospital of Shanxi Medical University, Taiyuan, Shanxi 030001, China;Huaxi MR Research Center, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China;Institute of Neuroscience, Chongqing Medical University, Chongqing 400016, China;Mental Health Center, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China;National Clinical Research Center for Mental Disorders, Peking University Sixth Hospital, Beijing 100191, China;Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310016, China;The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong 510630, China;The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, China;The first affiliated hospital of Anhui Medical University, Hefei, Anhui 230022, China;Xi'an Central Hospital, Xi'an, Shaanxi 710003, China;

关键词: Depression;    Default-mode;    FMRI;    Dynamic functional connectivity;    Connectome;    Temporal variability;   

DOI  :  

来源: DOAJ

【 摘 要 】

Background: Major depressive disorder (MDD) is known to be characterized by altered brain functional connectivity (FC) patterns. However, whether and how the features of dynamic FC would change in patients with MDD are unclear. In this study, we aimed to characterize dynamic FC in MDD using a large multi-site sample and a novel dynamic network-based approach. Methods: Resting-state functional magnetic resonance imaging (fMRI) data were acquired from a total of 460 MDD patients and 473 healthy controls, as a part of the REST-meta-MDD consortium. Resting-state dynamic functional brain networks were constructed for each subject by a sliding-window approach. Multiple spatio-temporal features of dynamic brain networks, including temporal variability, temporal clustering and temporal efficiency, were then compared between patients and healthy subjects at both global and local levels. Results: The group of MDD patients showed significantly higher temporal variability, lower temporal correlation coefficient (indicating decreased temporal clustering) and shorter characteristic temporal path length (indicating increased temporal efficiency) compared with healthy controls (corrected p < 3.14×10−3). Corresponding local changes in MDD were mainly found in the default-mode, sensorimotor and subcortical areas. Measures of temporal variability and characteristic temporal path length were significantly correlated with depression severity in patients (corrected p < 0.05). Moreover, the observed between-group differences were robustly present in both first-episode, drug-naïve (FEDN) and non-FEDN patients. Conclusions: Our findings suggest that excessive temporal variations of brain FC, reflecting abnormal communications between large-scale bran networks over time, may underlie the neuropathology of MDD.

【 授权许可】

Unknown