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Faculty

PI

Mingrui XiaPh. D.   Computational methods for connectome big data and applications in neuropsychiatric diseases related to brain development.

Educational Experience

2010.09-2013.06: Ph. D. in cognitive neuroscience, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, P.R. China
2007.09-2010.06: M.Sc. in Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, P.R. China
2003.09-2007.06: B.Sc. in Bioengineering, Department of Bioengineering, Beihang University, Beijing, P.R. China

Professional Experience

2024.07-present: Professor, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, China
2019.12-2024.07: Associate Professor, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, China
2016.01-2019.12: Research Associate Professor, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, China
2013.07-2016.01: Research Assistant Professor, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, China

Research Description

Dr. Mingrui Xia is a Professor and Ph.D. supervisor at the State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University. His research focuses on developing computational methods and tools for human brain connectomics and multi-center neuroimaging big data, with applications in exploring brain network changes and evaluating treatments for psychiatric disorders. He has published over 80 articles in high-impact journals such as Molecular Psychiatry, Biological Psychiatry, and Science Bulletin, accumulating more than 10,000 citations. In 2021, he received the OHBM Replication Award for his work on the reproducibility of functional brain alterations in depression. Dr. Xia has been recognized as one of Elsevier’s Most Cited Chinese Researchers since 2020 and has been listed among the World’s Top 2% Scientists by Stanford University since 2019. He leads the Young Scientist Project of the Science and Technology Innovation 2030-Brain Science and Brain-Inspired Intelligence Project, as well as Projects of the National Natural Science Foundation of China. Additionally, he serves as an Associate Editor for Progress in Neuro-Psychopharmacology and Biological Psychiatry, an Editorial Board member for NeuroImage: Clinical, CNS Neuroscience & Therapeutics, and PLOS Mental Health, and a reviewer for over 80 journals, including Nature Mental Health, Nature Communications, Molecular Psychiatry, Biological Psychiatry, and IEEE Transactions on Medical Imaging.

Publications

1. Sun X, Xia M* (2024) Schizophrenia and neurodevelopment: Insights from connectome perspective. Schizophr Bull. In press.

2. Xia M*, Sun X, Bu X, Li Q, He Y* (2024) Big connectome imaging data in psychiatric disorders. Med Plus. 1:100038.

3. Guo Y#, Xia M#, Ye R#, Bai T, Wu Y, Ji Y, Yu Y, Ji G, Wang K, He Y*, Tian Y* (2024) Electroconvulsive therapy regulates brain connectome dynamics in patients with major depressive disorder. Biol Psychiatry. In press.

4. Sun X, Sun J, Lu X, Dong Q, Zhang L, Wang W, Liu J, Ma Q, Wang X, Wei D, Chen Y, Liu B, Huang CC, Zheng Y, Wu Y, Chen T, Cheng Y, Xu X, Gong Q, Si T, Qiu S, Lin CP, Cheng J, Tang Y, Wang F, Qiu J, Xie P, Li L, He Y, Group D-MW, Xia M* (2023) Mapping Neurophysiological Subtypes of Major Depressive Disorder Using Normative Models of the Functional Connectome. Biol Psychiatry. 94:936-47.

5. Xia M, He Y* (2023) Connectomics reconciles seemingly irreconcilable neuroimaging findings. Trends Cogn Sci. 27:512-513.

6. Xia M, He Y* (2023) Unraveling Circuit Mechanisms of Depression Remission and Relapse Vulnerability. Biol Psychiatry 93:213-4.

7. Wang J#, Sun L#, Chen L, Sun J, Xie Y, Tian D, Gao L, Zhang D, Xia M*, Wu Tao* (2023) Common and Distinct Roles of Amygdala Subregional Functional Connectivity in Non-Motor Symptoms of Parkinson's Disease. NPJ Parkinsons Dis 9:28.

8. Wang L, Ma Q, Sun X, Xu Z, Zhang J, Liao X, Wang X, Wei D, Chen Y, Liu B, Huang CC, Zheng Y, Wu Y, Chen T, Cheng Y, Xu X, Gong Q, Si T, Qiu S, Lin CP, Cheng J, Tang Y, Wang F, Qiu J, Xie P, Li L, He Y, DIDA-MDD Working Group, Xia M*, Zhang Y* (2023) Frequency-resolved connectome alterations in major depressive disorder: A multi-site resting fMRI study. J Affect Disord 328:47-57.

9. Xia M, Liu J, Mechelli A, Sun X, Ma Q, Wang X, Wei D, Chen Y, Liu B, Huang CC, Zheng Y, Wu Y, Chen T, Cheng Y, Xu X, Gong Q, Si T, Qiu S, Lin CP, Cheng J, Tang Y, Wang F, Qiu J, Xie P, Li L, DIDA-MDD Working Group, He Y* (2022) Connectome gradient dysfunction in major depression and its association with gene expression profiles and treatment outcomes. Mol Psychiatry 27:1384-93.

10. Xia Y#, Xia M#, Liu J, Liao X, Lei T, Liang X, Zhao T, Shi Z, Sun L, Chen X, Men W, Wang Y, Pan Z, Luo J, Peng S, Chen M, Hao L, Tan S, Gao JH, Qin S, Gong G, Tao S, Dong Q, He Y* (2022) Development of functional connectome gradients during childhood and adolescence. Sci Bull (Beijing) 67:1049-61.

11. Tian D, Zeng Z, Sun X, Tong Q, Li H, He H, Gao JH, He Y, Xia M* (2022) A deep learning-based multisite neuroimage harmonization framework established with a traveling-subject dataset. Neuroimage 257:119297.

12. Xia M, He Y* (2022) Connectome-guided transcranial magnetic stimulation treatment in depression. Eur Child Adolesc Psychiatry 31:1481-3.

13. Sun X, Liu J, Ma Q, Duan J, Wang X, Xu Y, Xu Z, Xu K, Wang F, Tang Y*, He Y, Xia M* (2021) Disrupted intersubject variability architecture in functional connectomes in schizophrenia. Schizophr Bull 47(4):837-48.

14. Ma Q#, Tang Y#, Wang F, Liao X, Jiang X, Wei S, Mechelli A, He Y, Xia M* (2020) Transdiagnostic dysfunctions in brain modules across patients with schizophrenia, bipolar disorder and major depressive disorder: a connectome-based study. Schizophr Bull 46(3):699-712.

15. Liu J#, Xia M#, Wang X, Liao X, He Y (2020) The spatial organization of the chronnectome associates with cortical hierarchy and transcriptional profiles in the human brain. Neuroimage. 222:117296. 

16. Xia M, Womer FY, Chang M, Zhu Y, Zhou Q, Edmiston EK, Jiang X, Wei S, Duan J, Xu K, Tang Y, He Y, Wang F* (2019) Shared and distinct functional architectures of brain networks across psychiatric disorders. Schizophr Bull 45(2):450-63.

17. Xia M#, Si T#, Sun X, Ma Q, Liu B, Wang L, Meng J, Chang M, Huang X, Chen Z, Tang Y, Xu K, Gong Q, Wang F, Qiu J, Xie P, Li L*, He Y*, Group DIDA-MDD (2019) Reproducibility of functional brain alterations in major depressive disorder: Evidence from a multisite resting-state functional MRI study with 1,434 individuals. Neuroimage 189:700-14.

18. Qiu L#, Xia M#, Cheng B, Yuan L, Kuang W, Bi F, Ai H, Gu Z, Lui S, Huang X, He Y*, Gong Q* (2018) Abnormal dynamic functional connectivity of amygdalar subregions in untreated patients with first-episode major depressive disorder. J Psychiatry Neurosci 43(3):170112.

19. Du H#, Xia M#, Zhao K#, Liao X, Yang H, Wang Y*, He Y* (2018) PAGANI Toolkit: A Parallel Graph-Theoretical Analysis Package for Brain Network Big Data. Hum Brain Mapp 39(5):1869-85.

20. Zhang N#, Xia M#, Qiu T, Wang X, Lin CP, Guo Q, Lu J, Wu Q, Zhuang D, Yu Z, Gong F, Farrukh Hameed NU, He Y*, Wu J*, Zhou L (2018) Reorganization of cerebro-cerebellar circuit in patients with left hemispheric gliomas involving language network: A combined structural and resting-state functional MRI study. Hum Brain Mapp 39(12):4802-19.

21. Wang X, Lin Q, Xia M*, He Y* (2018) Differentially categorized structural brain hubs are involved in different microstructural, functional, and cognitive characteristics and contribute to individual identification. Hum Brain Mapp 39:1647-63.

22. Lu XW, Guo H, Sun JR, Dong QL, Zhao FT, Liao XH, Zhang L, Zhang Y, Li WH, Li ZX, Liu TB, He Y, Xia MR*, Li LJ* (2018) A shared effect of paroxetine treatment on gray matter volume in depressive patients with and without childhood maltreatment: A voxel-based morphometry study. CNS Neurosci Ther 24:1073-83.