Chen Xiao, Lu Bin, Li Hui-Xian, Li Xue-Ying, Wang Yu-Wei, Castellanos Francisco Xavier, Cao Li-Ping, Chen Ning-Xuan, Chen Wei, Cheng Yu-Qi, Cui Shi-Xian, Deng Zhao-Yu, Fang Yi-Ru, Gong Qi-Yong, Guo Wen-Bin, Hu Zheng-Jia-Yi, Kuang Li, Li Bao-Juan, Li Le, Li Tao, Lian Tao, Liao Yi-Fan, Liu Yan-Song, Liu Zhe-Ning, Lu Jian-Ping, Luo Qing-Hua, Meng Hua-Qing, Peng Dai-Hui, Qiu Jiang, Shen Yue-Di, Si Tian-Mei, Tang Yan-Qing, Wang Chuan-Yue, Wang Fei, Wang Hua-Ning, Wang Kai, Wang Xiang, Wang Ying, Wang Zi-Han, Wu Xiao-Ping, Xie Chun-Ming, Xie Guang-Rong, Xie Peng, Xu Xiu-Feng, Yang Hong, Yang Jian, Yao Shu-Qiao, Yu Yong-Qiang, Yuan Yong-Gui, Zhang Ke-Rang, Zhang Wei, Zhang Zhi-Jun, Zhu Jun-Juan, Zuo Xi-Nian, Zhao Jing-Ping, Zang Yu-Feng, Yan Chao-Gan
CAS Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China.
International Big-Data Center for Depression Research, Chinese Academy of Sciences, Beijing 100101, China.
Psychoradiology. 2022 Jun 9;2(1):32-42. doi: 10.1093/psyrad/kkac005. eCollection 2022 Mar.
Despite a growing neuroimaging literature on the pathophysiology of major depressive disorder (MDD), reproducible findings are lacking, probably reflecting mostly small sample sizes and heterogeneity in analytic approaches. To address these issues, the Depression Imaging REsearch ConsorTium (DIRECT) was launched. The REST-meta-MDD project, pooling 2428 functional brain images processed with a standardized pipeline across all participating sites, has been the first effort from DIRECT. In this review, we present an overview of the motivations, rationale, and principal findings of the studies so far from the REST-meta-MDD project. Findings from the first round of analyses of the pooled repository have included alterations in functional connectivity within the default mode network, in whole-brain topological properties, in dynamic features, and in functional lateralization. These well-powered exploratory observations have also provided the basis for future longitudinal hypothesis-driven research. Following these fruitful explorations, DIRECT has proceeded to its second stage of data sharing that seeks to examine ethnicity in brain alterations in MDD by extending the exclusive Chinese original sample to other ethnic groups through international collaborations. A state-of-the-art, surface-based preprocessing pipeline has also been introduced to improve sensitivity. Functional images from patients with bipolar disorder and schizophrenia will be included to identify shared and unique abnormalities across diagnosis boundaries. In addition, large-scale longitudinal studies targeting brain network alterations following antidepressant treatment, aggregation of diffusion tensor images, and the development of functional magnetic resonance imaging-guided neuromodulation approaches are underway. Through these endeavours, we hope to accelerate the translation of functional neuroimaging findings to clinical use, such as evaluating longitudinal effects of antidepressant medications and developing individualized neuromodulation targets, while building an open repository for the scientific community.
尽管关于重度抑郁症(MDD)病理生理学的神经影像学文献不断增加,但仍缺乏可重复的研究结果,这可能主要反映了样本量小以及分析方法的异质性。为了解决这些问题,抑郁症影像研究联盟(DIRECT)应运而生。REST-meta-MDD项目汇总了所有参与研究地点使用标准化流程处理的2428幅功能性脑图像,这是DIRECT的首次尝试。在这篇综述中,我们概述了REST-meta-MDD项目迄今为止各项研究的动机、基本原理和主要研究结果。对汇总数据库进行的第一轮分析结果包括默认模式网络内的功能连接、全脑拓扑特性、动态特征以及功能偏侧化的改变。这些有充分依据的探索性观察结果也为未来基于假设的纵向研究提供了基础。在这些富有成果的探索之后,DIRECT进入了数据共享的第二阶段,通过国际合作将独家的中国原始样本扩展到其他种族群体,以研究MDD患者大脑改变中的种族差异。还引入了一种先进的基于表面的预处理流程,以提高敏感度。双相情感障碍和精神分裂症患者的功能图像也将被纳入,以识别不同诊断之间的共同和独特异常。此外,针对抗抑郁治疗后大脑网络改变、扩散张量图像汇总以及功能磁共振成像引导的神经调节方法开发的大规模纵向研究正在进行中。通过这些努力,我们希望加速功能性神经影像学研究结果向临床应用的转化,例如评估抗抑郁药物的纵向效果以及开发个性化的神经调节靶点,同时为科学界建立一个开放的数据库。