作者
Yudan Ding,Ru Yang,Chao-Gan Yan,Xiao Dong Chen,Tongjian Bai,Qijing Bo,Guanmao Chen,Ning-Xuan Chen,Taolin Chen,Wei Chen,Chang Cheng,Yuqi Cheng,Xilong Cui,Jia Duan,Qin Ning,Qiyong Gong,Zhenghua Hou,Lan Hu,Li Kuang,Feng Li,Tao Li,Yansong Liu,Zhening Liu,Yi-Cheng Long,Qinghua Luo,Huaqing Meng,Daihui Peng,Hai-Tang Qiu,Jiang Qiu,Yue Shen,Yushu Shi,Yanqing Tang,Chuanyue Wang,Fei Wang,Kai Wang,Li Wang,Xiang Wang,Ying Wang,Xiaoping Wu,Xinran Wu,Chunming Xie,Guangrong Xie,Hai-Yan Xie,Peng Xie,Xiufeng Xu,Hong Yang,Jian Yang,Jia-Shu Yao,Shuqiao Yao,Yingying Yin,Yonggui Yuan,Ai-Xia Zhang,Hong Zhang,Kerang Zhang,Lei Zhang,Zhijun Zhang,Ru-Bai Zhou,Yi Ting Zhou,Jun-Juan Zhu,Chao-Jie Zou,Tian-Mei Si,Yu-Feng Zang,Jingping Zhao,Wen Guo
摘要
: Functional specialization is a feature of human brain for understanding the pathophysiology of major depressive disorder (MDD). The degree of human specialization refers to within and cross hemispheric interactions. However, most previous studies only focused on interhemispheric connectivity in MDD, and the results varied across studies. Hence, brain functional connectivity asymmetry in MDD should be further studied. : Resting-state fMRI data of 753 patients with MDD and 451 healthy controls were provided by REST-meta-MDD Project. Twenty-five project contributors preprocessed their data locally with the Data Processing Assistant State fMRI software and shared final indices. The parameter of asymmetry (PAS), a novel voxel-based whole-brain quantitative measure that reflects inter- and intrahemispheric asymmetry, was reported. We also examined the effects of age, sex and clinical variables (including symptom severity, illness duration and three depressive phenotypes). : Compared with healthy controls, patients with MDD showed increased PAS scores (decreased hemispheric specialization) in most of the areas of default mode network, control network, attention network and some regions in the cerebellum and visual cortex. Demographic characteristics and clinical variables have significant effects on these abnormalities. : Although a large sample size could improve statistical power, future independent efforts are needed to confirm our results. : Our results highlight the idea that many brain networks contribute to broad clinical pathophysiology of MDD, and indicate that a lateralized, efficient and economical brain information processing system is disrupted in MDD. These findings may help comprehensively clarify the pathophysiology of MDD in a new hemispheric specialization perspective.