2002-2007 PhD Beijing Institute of Technology , Beijing, China.
1998-2002 BS Beijing Institute of Technology

2025 – PI IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China
2021 – PI/Professor State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University, Beijing China
2016-2021 Professor University of Chinese Academy of Sciences, China
2013-2021 PI Institute of Automation, Chinese Academy of Sciences, China
2012-2015 Assistant Professor The Mind Research Network (MRN), Albuquerque, NM, USA
2010-2012 Research Scientist The Mind Research Network, Albuquerque, NM, USA
2007-2009 Postdoctoral Fellow The Mind Research Network, Albuquerque, NM, USA.

The study of translational biomarkers in brain disorders is a very challenging and fruitful approach, which will empower a better understanding of healthy and diseased brains. Dr. Jing Sui’s research interest focus on developing cutting-edge neuroimaging data mining methods and tools to seek innovative therapeutic predictors and facilitate personalized treatment strategy for multiple mental disorders via identifying robust and clinically useful biomarkers. She is interested to developing novel neuroimaging data mining and LLM models, and transferring these AI techniques efficiently to clinical practice of multiple brain disorders, particularly targeting the bottlenecks of lack of objective diagnostic and therapeutic markers.

See full paper list on：https://scholar.google.com/citations?user=xuJq9McAAAAJ&hl=en

1.Jiang RT, Noble S, Rosenblatt M, Dai W, Ye J, Liu S, Qi SL, Calhoun VD, Sui J* and Scheinost D 2024. The brain structure, inflammatory, and genetic mechanisms mediate the association between physical frailty and depression. Nature Communications 2024. 15(1).

2.Sui J*^#, Qi S^#, van Erp TGM, Bustillo J, Jiang R, Lin D, Turner JA, Damaraju E, Mayer AR, Cui Y, Fu Z, Du Y, Chen J, Potkin SG, Preda A, Mathalon DH,…McMahon A, Jiang T, and Calhoun VD*. Multimodal neuromarkers in schizophrenia via cognition-guided MRI fusion. Nature Communications. 2018. 9(1): 3028. 

3.Qi S*, Sui J*, Pearlson G, Bustillo J, Perrone-Bizzozero NI, Kochunov P, Turner JA, Fu Z, Shao W, Jiang R, Yang X, Liu J, Du Y, Chen J*, Zhang D*, and Calhoun VD. Derivation and utility of schizophrenia polygenic risk associated multimodal MRI frontotemporal network. Nature Communications. 2022. 13(1): 4929

4.Feng G, Chen J, Sui J, Calhoun VD. Cellular and molecular associations with intrinsic brain organization. Nature Communications. 2025.16(1):11641.

5.Jiang R, Woo C-W, Qi S, Wu J, and Sui J*. Interpreting brain biomarkers: Challenges and solutions in interpreting machine learning-based predictive neuroimaging. IEEE Signal Processing Magazine. 2022. 39(4): 107-118.

6.Yan W, Qu G, Hu W, Abrol A, Cai B, Chen Q, Plis SM, Wang Y-P, Sui J*, and Calhoun VD*. Deep learning in neuroimaging: Promises and challenges. IEEE Signal Processing Magazine 2022. 39(2): 87-98.

7.Zhao M, Yan W, Luo N, Zhi D, Fu Z, Du Y, Yu S, Jiang T, Calhoun V, Sui J*. An attention-based hybrid deep learning framework integrating brain connectivity and activity of resting-state functional MRI data. Medical Image Analysis. 2022. 78: 102413.

8.Feng A, Zhi D, Feng Y, Jiang R, Fu Z, Xu M, Zhao M, Yu S, Stevens M, Sun L*, Calhoun V*, Sui J*.(2024) Functional imaging derived ADHD biotypes based on deep clustering: a study on personalized medication therapy guidance. eClinicalMedicine. 2024;77: 102876.

9.Fu Z, Sui J, Iraji A, Liu J, and Calhoun VD. Cognitive and psychiatric relevance of dynamic functional connectivity states in a large (n > 10,000) children population. Mol Psychiatry. 2025. 30(2): 402-413.

10.Xu M, Li X, Teng T, Huang Y, Liu M, Long Y, Lv F, Zhi D, Li X, Feng A, Yu S, Calhoun V, Zhou X, and Sui J*. Reconfiguration of structural and functional connectivity coupling in patient subgroups with adolescent depression. JAMA Network Open. 2024. 7(3): e241933.

11.Qi S, Calhoun VD, Zhang D, Miller J, Deng ZD, Narr KL, Sheline Y, McClintock SM, Jiang R, Yang X, Upston J, Jones T, Sui J*, and Abbott CC*. Links between electroconvulsive therapy responsive and cognitive impairment multimodal brain networks in late-life major depressive disorder. BMC Medicine. 2022. 20(1): 477.

12.Zhi DM, Jiang RT, Pearlson G, Fu ZN, Qi SL, Yan WZ, Feng AC, Xu M, Calhoun V*, Sui J*.2024. Triple Interactions between the environment, brain, and behavior in Children: An ABCD Study. Biological Psychiatry 95(9): 828-838.

13.Qi, S., G. Schumann, J. Bustillo, J. A. Turner, R. Jiang, D. Zhi, Z. Fu, A. R. Mayer, V. M. Vergara, R. F. Silva, A. Iraji, J. Chen, E. Damaraju, X. Ma, X. Yang, M. Stevens, D. H. Mathalon, J. M. Ford, J. Voyvodic, B. A. Mueller, A. Belger, S. G. Potkin, A. Preda, C. Zhuo, Y. Xu, C. Chu, T. Banaschewski, G. J. Barker, A. L. W. Bokde, E. B. Quinlan, S. Desrivieres, H. Flor, A. Grigis, H. Garavan, P. Gowland, A. Heinz, J. L. Martinot, M. L. Paillere Martinot, E. Artiges, F. Nees, D. P. Orfanos, T. Paus, L. Poustka, S. Hohmann, J. H. Frohner, M. N. Smolka, H. Walter, R. Whelan, V. D. Calhoun*, Sui J*. and IMAGEN. Consortium (2021). Reward Processing in Novelty Seekers: A Transdiagnostic Psychiatric Imaging Biomarker. Biological Psychiatry 2021. 90(8): 529-539.

14.Sui J*^#, Jiang R^#, Bustillo J, and Calhoun V. Neuroimaging-based individualized prediction of cognition and behavior for mental disorders and health: Methods and promises. Biological Psychiatry. 2020. 88(11): 818-828.

15.Sui J*, Pearlson GD, Du Y, Yu Q, Jones TR, Chen J, Jiang T, Bustillo J, and Calhoun VD. In search of multimodal neuroimaging biomarkers of cognitive deficits in schizophrenia. Biological Psychiatry. 2015. 78(11): 794-804.

16.Qi S, Calhoun VD, van Erp TGM, Bustillo J,...Belger A, McEwen S, Potkin SG, Preda A, Jiang T, and Sui J*. Multimodal fusion with reference: Searching for joint neuromarkers of working memory deficits in schizophrenia. IEEE Trans Med Imaging. 2018. 37(1): 93-105.

17.Yao D, Sui J*, Wang M, Yang E, Jiaerken Y, Luo N, Yap PT, Liu M*, and Shen D*. A mutual multi-scale triplet graph convolutional network for classification of brain disorders using functional or structural connectivity. IEEE Trans Med Imaging. 2021. 40(4): 1279-1289.

18.Jiang R, Geha P, Rosenblatt M, Wang Y, Fu Z, Foster M, Dai W, Calhoun VD, Sui J*, Spann MN, and Scheinost D. The inflammatory and genetic mechanisms underlying the cumulative effect of co-occurring pain conditions on depression. Science Advances. 2025. 11(14): eadt1083.

19.Jiang R*, Scheinost D, Zuo N, Wu J, Qi S, Liang Q, Zhi D, Luo N, Xu Y, Sui J* Calhoun VD. A neuroimaging signature of cognitive aging from whole-brain functional connectivity. Advanced Science. 2022.15: e2201621.

20.Sui J, Li X, Bell RP, Towe SL, Gadde S, Chen NK, and Meade CS*. Structural and functional brain abnormalities in human immunodeficiency virus disease revealed by multimodal magnetic resonance imaging fusion: Association with cognitive function. Clinical Infectious Disease. 2021. 73(7): e2287-e2293.

21.Qi S, Yang X, Zhao L, Liu S, Jiang T, Sui J*, and Ma X*. Microrna132 associated multimodal neuro- imaging patterns in unmedicated major depressive disorder. Brain. 2018. 141(3): 916-926.

22.Luo N, Sui J*, Chen J, Zhang F, Tian L, Lin D, Song M, Calhoun VD, Cui Y, Vergara VM, Zheng F, Liu J, Yang Z, Zuo N, Fan L, Xu K, Liu S, Li J, Xu Y, Liu S, Lv L, Chen J, Chen Y, Guo H, Li P, Lu L, Wan P, Wang H, Wang H, Yan H, Yan J, Yang Y, Zhang H, Zhang D, and Jiang T. A schizophrenia-related genetic-brain-cognition pathway revealed in a large chinese population. EBioMedicine. 2018. 37: 471-482.

23.Yan W, Calhoun V, Song M, … Zhang D, Jiang T, and Sui J*. Discriminating schizophrenia using recurrent neural network applied on time courses of multi-site fMRI data. EBioMedicine. 2019. 47: 543-552.

24.Liu SF, Wang HY, .., Jiang TZ and Sui J* .2019. Linked 4-Way Multimodal Brain Differences in Schizophrenia in a Large Chinese Han Population. Schizophrenia Bulletin 45(2): 436-449.

25.Qi S, Morris R, Turner JA, Fu Z, Jiang R, Deramus TP, Zhi D, Calhoun VD, Sui J*. Common and unique multimodal covarying patterns in autism spectrum disorder subtypes. Molecular Autism. 2020. 11(1): 90.