Disrupted hemispheric connectivity specialization in patients with major depressive disorder: Evidence from the REST-meta-MDD Project.
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Ding Yu-Dan, Yang Ru, Yan Chao-Gan, Chen Xiao, Bai Tong-Jian, Bo Qi-Jing, Chen Guan-Mao, Chen Ning-Xuan, Chen Tao-Lin, Chen Wei, Cheng Chang, Cheng Yu-Qi, Cui Xi-Long, Duan Jia, Fang Yi-Ru, Gong Qi-Yong, Hou Zheng-Hua, Hu Lan, Kuang Li, Li Feng, Li Tao, Liu Yan-Song, Liu Zhe-Ning, Long Yi-Cheng, Luo Qing-Hua, Meng Hua-Qing, Peng Dai-Hui, Qiu Hai-Tang, Qiu Jiang, Shen Yue-Di, Shi Yu-Shu, Tang Yanqing, Wang Chuan-Yue, Wang Fei, Wang Kai, Wang Li, Wang Xiang, Wang Ying, Wu Xiao-Ping, Wu Xin-Ran, Xie Chun-Ming, Xie Guang-Rong, Xie Hai-Yan, Xie Peng, Xu Xiu-Feng, Yang Hong, Yang Jian, Yao Jia-Shu, Yao Shu-Qiao, Yin Ying-Ying, Yuan Yong-Gui, Zhang Ai-Xia, Zhang Hong, Zhang Ke-Rang, Zhang Lei, Zhang Zhi-Jun, Zhou Ru-Bai, Zhou Yi-Ting, Zhu Jun-Juan, Zou Chao-Jie, Si Tian-Mei, Zang Yu-Feng, Zhao Jing-Ping, Guo Wen-Bin
Аннотация
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.