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Disrupted hemispheric connectivity specialization in patients with major depressive disorder: Evidence from the REST-meta-MDD Project

Authors :
Jun-Juan Zhu
Zhening Liu
Xiao-Ping Wu
Kerang Zhang
Yu-Feng Zang
Yu-Shu Shi
Kai Wang
Yu-Qi Cheng
Yiru Fang
Hong Zhang
Fei Wang
Yan-Song Liu
Zhijun Zhang
Jian Yang
Lan Hu
Ru Yang
Yi-Ting Zhou
Hai-Tang Qiu
Wenbin Guo
Wei Chen
Jia-Shu Yao
Xinran Wu
Huaqing Meng
Li Kuang
Xiufeng Xu
Qiyong Gong
Yudan Ding
Yanqing Tang
Yonggui Yuan
Chang Cheng
Xiao Chen
Yue-Di Shen
Chunming Xie
Yingying Yin
Qijing Bo
Shuqiao Yao
Jingping Zhao
Guanmao Chen
Tao Li
Lei Zhang
Chao-Gan Yan
Ying Wang
Peng Xie
Xiang Wang
Guangrong Xie
Chao-Jie Zou
Tian-Mei Si
Xilong Cui
Ai-Xia Zhang
Hong Yang
Zhenghua Hou
Daihui Peng
Qing-Hua Luo
Hai-Yan Xie
Ru-Bai Zhou
Li Wang
Jia Duan
Jiang Qiu
Ning-Xuan Chen
Taolin Chen
Feng Li
Yi-Cheng Long
Tongjian Bai
Chuanyue Wang
Source :
Journal of Affective Disorders. 284:217-228
Publication Year :
2021
Publisher :
Elsevier BV, 2021.

Abstract

Background : 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. Methods : 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). Results : 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. Limitations : Although a large sample size could improve statistical power, future independent efforts are needed to confirm our results. Conclusions : 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.

Details

ISSN :
01650327
Volume :
284
Database :
OpenAIRE
Journal :
Journal of Affective Disorders
Accession number :
edsair.doi.dedup.....0e65c2e3f38a6691a3f3e68dc646bab1
Full Text :
https://doi.org/10.1016/j.jad.2021.02.030