北京师范大学认知神经科学与学习国家重点实验室

1. 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, Ford JM, Voyvodic J, Mueller BA, Belger A, McEwen SC,O'Leary DS, McMahon A, Jiang T, Calhoun VD. Multimodal neuromarkers in schizophrenia via cognition-guided MRI fusion. Nature Communications 2018;9(1):3028.

2. Sui J*, Jiang R, Bustillo J, Calhoun VD. 2020. Neuroimaging-based Individualized Prediction of Cognition and Behavior for Mental Disorders and Health: Methods and Promises. Biological Psychiatry. 88 (11):818-828.

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

4. Sui J*, Pearlson, G.D., Du, Y., Yu, Q., Jones, T.R., Chen, J., Jiang, T., Bustillo, J., Calhoun, V.D., 2015. In Search of Multimodal Neuroimaging Biomarkers of Cognitive Deficits in Schizophrenia. Biological Psychiatry. 78(11):794-804.

5. Qi S, Yang X, Zhao L, Calhoun VD, Perrone-Bizzozero N, Liu S, Jiang R, Jiang T, Sui J*, Ma X*. 2018. MicroRNA132 associated multimodal neuroimaging patterns in unmedicated major depressive disorder. Brain. 141(3):916-926.

6. Sui J, Li Xiang, Towel S, Bell R, Meade C. 2020. Structural and functional brain abnormalities in HIV disease revealed by multimodal MRI fusion: association with cognitive function. Clinical Infectious Diseases. In press.

7. Qi, S., Calhoun, V.D., van Erp, T.G.M., Bustillo, J., Damaraju, E., Turner, J.A., Du, Y., Yang, J., Chen, J., Yu, Q., Mathalon, D.H., Ford, J.M., Voyvodic, J., Mueller, B.A., Belger, A., McEwen, S., Potkin, S.G., Preda, A., Jiang, T., and Sui J*. Multimodal Fusion with Reference: Searching for Joint Neuromarkers of Working Memory Deficits in Schizophrenia. IEEE Trans Medical Imaging, 2018. 1(37):93-105.

8. Liu S, Wang H, Song M, Lv L,Cui Y, Liu Y, Fan L, Zuo N, Xu K, Du Y, Yu Q, Luo N, Qi S, Yang J, Xie S, Li J, Chen J, Chen Y, Wang H, Guo H, Wan P, Yang Y, Li P, Lu L, Yan H, Yan J, Wang H, Zhang H, Zhang D, Calhoun VD, Jiang T, Sui J*. 2019. Linked 4-way multimodal brain changes in schizophrenia in a large chinese han population. Schizophrenia Bulletin. 45(2):436-449.

9. Qi S, Morris R, Turner JA, Fu Z, Jiang R, Deramus TP, Zhi D, Calhoun VD, Sui J*. Common and unique multimodal co-varying patterns in Autism Spectrum Disorder subtypes. 2020. Molecular Autism. In press.

10. Yan W, Calhoun V, Song M, Cui Y, Yan H, Liu S, Fan L, Zuo N, Yang Z, Xu K, Yan J, Lv L, Chen J, Chen Y, Guo H, Li P, Lu L, Wan P, Wang H, Wang H, Yang Y, Zhang H, Zhang D, Jiang T, Sui J* (2019): Discriminating schizophrenia using recurrent neural network applied on time courses of multi-site FMRI data. EBioMedicine. 47:543-552.

11. Luo N, Sui J*, Chen J, Zhang F, Tian L, Lin D, Song M, Calhoun VD, Cui Y, Yan H, Yan J, 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, Yang Y, Zhang H, Zhang D, Jiang T*.(2018). A Schizophrenia-related Genetic-Brain-Cognition Pathway Revealed in a Large Chinese Population. EBioMedicine. 37:471-482.

12. Jiang R, Calhoun VD, Fan L, Zuo N, Jung R, Qi S, Lin D, Li J, Zhuo C, Song M, Fu Z, Jiang T, Sui J* (2019): Gender Differences in Connectome-based Predictions of Individualized Intelligence Quotient and Sub-domain Scores. Cerebral Cortex. 30:888-900.

13. Luo N, Sui J*, Abrol A, Turner JA, Damaraju E, Fu Z, Fan L, Chen J, Lin D, Zhuo C, Xu Y Glahn DC, Rodrigue A, Banich MT, Pearlson GD, Calhoun VD*.2020. Structural brain architectures match intrinsic functional networks and vary across domains: A study from 15000+ individuals. Cerebral Cortex. 30 (10), 5460-5470

14. Jiang R, Calhoun VD, Zuo N, Lin D, Li J, Fan L, Qi S, Sun H, Fu Z, Song M, Jiang T, Sui J*. Connectome-based individualized prediction of temperament trait scores. NeuroImage 2018; 183:366-374.

15. Jiang R, Calhoun VD, Zuo N, Lin D, Li J, Fan L, Qi S, Sun H, Fu Z, Song M, Jiang T, Sui J*. Task-induced brain connectivity promotes the detection of individual differences in brain-behavior relationships. NeuroImage 2019. 207, 116370.

16. Meng X, Jiang R, Lin D, Bustillo J, Jones T, Chen J, Yu Q, Du Y, Zhang Y, Jiang T, Sui J*, Calhoun VD. Predicting individualized clinical measures by a generalized prediction framework and multimodal fusion of MRI data. NeuroImage 2017. 145 (Pt B):218-229.

17. Arbabshirani MR, Plis S, Sui J, Calhoun VD. Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls. NeuroImage Jan 15 2017;145(Pt B):137-165.

18. Qi S; Bustillo J; Turner JA; Jiang R; Zhi D; Fu Z; Deramus T; Vergara V; Ma X; Yang X; Stevens M; Zhuo C; Xu Y; Calhoun V; Sui J*. The relevance of transdiagnostic shared networks to the severity of symptoms and cognitive deficits in schizophrenia: a multimodal brain imaging fusion study. Translational Psychiatry. 2020. 10, 149.

19. Wang L, Li, J, Zhang, S, Zhang, X, Zhang, Q, Chan, M F, Yang, R, Sui, J* 2020. Multi-task autoencoder based classification-regression model for patient-specific VMAT QA. Physics in Medicine and Biology 65, 235023. .

20. Sui J*, Huster R, Yu Q, Judith M. Segall, Vince D Calhoun. 2014. Function-Structure Associations of the Brain: Evidence from Multimodal Connectivity and Covariance Studies. Neuroimage. 102:11-23.

21. Sui J, He H, Pearlson GD, Adali T, Yu Q, Clark VP, White T, Mueller BA, Ho BC, Andreasen NC, Calhoun VD. 2013. Three-Way (N-way) Fusion of Brain Imaging Data Based on mCCA+jICA and Its Application to Discriminating Schizophrenia. Neuroimage. 2(66):119-132. (IF:5.812)

22. Sui J, Pearlson GD, Adali T, Caprihan A, Liu J, Yamamoto J, Calhoun VD. 2011. Discriminating Schizophrenia and Bipolar Disorder by Fusing FMRI and DTI in a CCA+ICA Based Model. Neuroimage. 57(7):839-855.

23. Sui J, Adali T, Pearlson GD, Yang H, Sponheim SR, White T, Calhoun VD 2010. A CCA+ICA Based Model for Multi-Task Brain Imaging Data Fusion And Its Application to Schizophrenia. Neuroimage. 51(5):123-134.

24. Sui J, Adali T, Pearlson GD, Calhoun VD. 2009. An ICA-based method for the identification of optimal FMRI features and components using combined group-discriminative techniques. Neuroimage 46(1):73- 86.

25. Sui J Adali T, Pearlson GD, Clark VP, Calhoun VD. 2009. A method for accurate group difference detection by constraining the mixing coefficients in an ICA framework. Hum Brain Mapping 30(9): 2953-2970. (IF:4.554)

26. Luo N, Sui J*, Abrol A, Lin D, Chen J, Vergara VM, Fu Z, Du Y, Damaraju E, Xu Y, Turner JA, Calhoun VD*. 2019. Age-related Structural and Functional Variations in 5967 Individuals across the adult lifes-pan. Human Brain Mapping. 41 (7), 1725-1737. (IF:4.554)

27. Qi S, Abbott CC*, Narr KL, Jiang R, Upston J, McClintock SM, Espinoza R, Jones T, Zhi D, Sun H, Yang X, Sui J*, Calhoun VD. 2020. Electroconvulsive therapy treatment responsive multimodal brain networks. Human Brain Mapping. 41 (7), 1775-1785

28. Gao S, Calhoun VD, Sui J*. 2018.Machine learning in major depression: From classification to treatment outcome prediction. CNS Neurosci Ther 24(11):1037-1052 (IF:3.394)

29. Abbott CC, Loo D, Sui J. 2016. Determining Electroconvulsive Therapy Response With Machine Learning. JAMA Psychiatry. 6(73):545-546

30. Yu Q, Du Y, Chen J, Sui J, Adali T, Pearlson GD, Calhoun VD. 2018: Application of Graph Theory to Assess Static and Dynamic Brain Connectivity: Approaches for Building Brain Graphs.

Proceedings of the IEEE. in press

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