中国科学通报:英文版NeurosciencePeer-reviewed journal article
Subgenual Anterior Cingulate Cortex Functional Connectivity Abnormalities in Depression: Insights from Brain Imaging Big Data and Precision-Guided Personalized Intervention via Transcranial Magnetic Stimulation
Xiao CheniD, Bin LüiD, Yuwei WangiD, Xue-Ying Li, Zihan WangiD, Hui-Xian LiiD, Yifan LiaoiD, Daniel M. BlumbergeriD, F. Xavier CastellanosiD, Eduardo A. Garza‐VillarrealiD, Li-Ping Cao, Guanmao CheniD, Jian-Shan Chen, Tao CheniD, Tao-Lin Chen, Yan-Rong Chen, Yu-Qi ChengiD, Zhaosong ChuiD, Shi‐Xian CuiiD, Xilong CuiiD, Zhao‐Yu Deng, Qinglin GaoiD, Qiyong GongiD, Wen-Bin Guo, Cancan He, , Kai WangiD
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Abstract
BackgroundThe subgenual anterior cingulate cortex (sgACC) plays a central role in the pathophysiology of major depressive disorder (MDD), and its functional interactive profile with the left dorsal lateral prefrontal cortex (DLPFC) is associated with transcranial magnetic stimulation (TMS) treatment outcomes. Nevertheless, previous research on sgACC functional connectivity (FC) in MDD has yielded inconsistent results, partly due to small sample sizes and limited statistical power. Furthermore, calculating sgACC-FC to target TMS individually is challenging. MethodsLeveraging a large multi-site cross-sectional sample (1660 MDD patients vs. 1341 healthy controls) from Phase II of the Depression Imaging REsearch ConsorTium (DIRECT), we systematically delineated case-control difference maps of sgACC-FC. Then, we explored the potential impact of such group-level abnormality profiles on the TMS target localization and clinical efficacy. Next, we developed an MDD big data-guided individualized TMS targeting algorithm to integrate group-level statistical maps with individual-level brain activity to localize TMS targets individually. ResultsWe found an enhanced sgACC-DLPFC FC in MDD patients compared to healthy controls (HC). Such group differences altered the position of the sgACC anti-correlation peak in the left DLPFC. In two independent clinical samples, we showed that the magnitude of TMS targets case-control differences in sgACC FC was related to clinical improvement. The MDD big data-guided individualized TMS targeting algorithm may generate individualized TMS targets that are clinically superior to group-level targets. InterpretationWe reliably delineated MDD-related abnormalities of sgACC-FC profiles in a large, independently ascertained sample and demonstrated the potential impact of such case-control differences on FC-guided localization of TMS targets. FundingMinistry of Science and Technology of the Peoples Republic of China, National Natural Science Foundation of China, and Chinese Academy of Sciences
- organism: human
- assay: imaging
- research focus: drug response / drug discovery
- approach: statistical model
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