Author

Guangrong Xie

Second Xiangya Hospital of Central South UniversityORCID 0000-0001-8331-7115Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:imaging· 2 Approach:statistical model· 2 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

Ai‐Xia ZhangiD· 2 shared Chao‐Gan YaniD· 2 shared Chuanyue WangiD· 2 shared Chunming XieiD· 2 shared F. Xavier CastellanosiD· 2 shared Guanmao CheniD· 2 shared Jiang QiuiD· 2 shared Jingping ZhaoiD· 2 shared

Activity by Year

2019-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersNeuroscience

Ai‐Xia ZhangORCID

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2 papers

Recent·Most cited

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 Chen, Bin Lü, Yuwei Wang, Xue-Ying Li, Zihan Wang, Hui-Xian Li, Yifan Liao, Daniel M. Blumberger, F. Xavier Castellanos, Eduardo A. Garza‐Villarreal, Li-Ping Cao, Guanmao Chen, Jian-Shan Chen, Tao Chen, Tao-Lin Chen, , Kai Wang

The paper identifies sgACC functional connectivity abnormalities in depression using large-scale brain imaging data and develops an individualized TMS targeting algorithm to improve treatment outcomes.

中国科学通报：英文版 · Jun 4, 2025Peer-reviewedNeuroscience

Reduced Default Mode Network Functional Connectivity in Patients with Recurrent Major Depressive Disorder

Chao‐Gan Yan, Xiao Chen, Le Li, F. Xavier Castellanos, Tongjian Bai, Qijing Bo, Jun Cao, Guanmao Chen, Ning-Xuan Chen, Wei Chen, Cheng Chang, Yuqi Cheng, Xilong Cui, Jia Duan, Yiru Fang, , Yu‐Feng Zang

The paper analyzes resting-state fMRI data from 1,300 MDD patients and 1,128 controls to find reduced default mode network functional connectivity in recurrent MDD, not first-episode MDD.

Proceedings of the National Academy of Sciences · Apr 12, 2019Peer-reviewedNeuroscience