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The DIRECT consortium and the REST-meta-MDD project: towards neuroimaging biomarkers of major depressive disorder.

Xiao ChenBin LuHui-Xian LiXue-Ying LiYu-Wei WangFrancisco Xavier CastellanosLi-Ping CaoNing-Xuan ChenWei ChenYu-Qi ChengShi-Xian CuiZhao-Yu DengYi-Ru FangQi-Yong GongWen-Bin GuoZheng-Jia-Yi HuLi KuangBao-Juan LiLe LiTao LiTao LianYi-Fan LiaoYan-Song LiuZhe-Ning LiuJian-Ping LuQing-Hua LuoHua-Qing MengDai-Hui PengJiang QiuYue-Di ShenTian-Mei SiYan-Qing TangChuan-Yue WangFei WangHua-Ning WangKai WangXiang WangYing WangZi-Han WangXiao-Ping WuChun-Ming XieGuang-Rong XiePeng XieXiu-Feng XuHong YangJian YangShu-Qiao YaoYong-Qiang YuYong-Gui YuanKe-Rang ZhangWei ZhangZhi-Jun ZhangJun-Juan ZhuXi-Nian ZuoJing-Ping ZhaoYu-Feng Zangnull nullChao-Gan Yan
Published in: Psychoradiology (2022)
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.
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