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1. Cui, Y., Liu, B., Song, M., Lipnicki, D.M., Li, J., Xie, S., Chen, Y., Li, P., Lu, L., Lv, L., Wang, H., Yan, H., Yan, J., Zhang, H., Zhang, D., Jiang, T., 2018. Auditory verbal hallucinations are related to cortical thinning in the left middle temporal gyrus of patients with schizophrenia. Psychological Medicine 48, 115-122. 

2. Cui, Y., Song, M., Lipnicki, D. M., Yang, Y., Ye, C., Fan, L., . . . He, J. (2018). Subdivisions of the posteromedial cortex in disorders of consciousness. Neuroimage Clin, 20, 260-266. doi:10.1016/j.nicl.2018.07.025

3. Chen, J., B. Rashid, Q. Yu, J. Liu, D. Lin, Y. Du, J. Sui, and V. D. Calhoun. 2018. 'Variability in Resting State Network and Functional Network Connectivity Associated With Schizophrenia Genetic Risk: A Pilot Study', Front Neurosci, 12: 114. 

4. Du, Y., Fryer, S.L., Lin, D., Sui, J., Yu, Q., Chen, J., Stuart, B., Loewy, R.L., Calhoun, V.D., Mathalon, D.H., 2018. Identifying functional network changing patterns in individuals at clinical high-risk for psychosis and patients with early illness schizophrenia: A group ICA study. Neuroimage Clin 17, 335-346. 

5. Fu, Z., Tu, Y., Di, X., Du, Y., Sui, J., Biswal, B. B., . . . Calhoun, V. D. (2018). Transient increased thalamic-sensory connectivity and decreased whole-brain dynamism in autism. Neuroimage. doi:10.1016/j.neuroimage.2018.06.003

6. Fang, X., Y. Wang, L. Cheng, Y. Zhang, Y. Zhou, S. Wu, H. Huang, J. Zou, C. Chen, J. Chen, H. Wang, and T. Jiang. 2018. Prefrontal dysconnectivity links to working memory deficit in first-episode schizophrenia, Brain Imaging Behav, 12: 335-44. 

7.Gao, S., Calhoun, V. D., & Sui, J. (2018). Machine learning in major depression: From classification to treatment outcome prediction. CNS Neurosci Ther. doi:10.1111/cns.13048

8. Genon, S., A. Reid, H. Li, L. Fan, V. I. Muller, E. C. Cieslik, F. Hoffstaedter, R. Langner, C. Grefkes, A. R. Laird, P. T. Fox, T. Jiang, K. Amunts, and S. B. Eickhoff. 2018. The heterogeneity of the left dorsal premotor cortex evidenced by multimodal connectivity-based parcellation and functional characterization, Neuroimage, 170: 400-11. 

9. Hu, L., Q. X. Xu, J. Z. Li, F. F. Wang, X. H. Xu, Z. Y. Sun, X. X. Ma, Y. Liu, Q. Wang, and D. W. Wang. 2018. No differences in brain microstructure between young KIBRA-C carriers and non-carriers, Oncotarget, 9: 1200-09.

10. Jiang, T. (2018). Recent Progress in Basic and Clinical Research on Disorders of Consciousness. Neurosci Bull, 34(4), 589-591. doi:10.1007/s12264-018-0264-0

11. Jiang, R., C. C. Abbott, T. Jiang, Y. Du, R. Espinoza, K. L. Narr, B. Wade, Q. Yu, M. Song, D. Lin, J. Chen, T. Jones, M. Argyelan, G. Petrides, J. Sui, and V. D. Calhoun. 2018. SMRI Biomarkers Predict Electroconvulsive Treatment Outcomes: Accuracy with Independent Data Sets, Neuropsychopharmacology, 43: 1078-87. 

12. Jiang, R., Calhoun, V. D., Zuo, N., Lin, D., Li, J., Fan, L., . . . Sui, J. (2018). Connectome-based individualized prediction of temperament trait scores. Neuroimage, 183, 366-374. doi:10.1016/j.neuroimage.2018.08.038

13. Kuang, L. D., Q. H. Lin, X. F. Gong, F. Cong, J. Sui, and V. D. Calhoun. 2018. Model order effects on ICA of resting-state complex-valued fMRI data: Application to schizophrenia, J Neurosci Methods, 304: 24-38. 

14. Liu, S., Wang, H., Song, M., Lv, L., Cui, Y., Liu, Y., . . . Sui, J. (2018). Linked 4-Way Multimodal Brain Differences in Schizophrenia in a Large Chinese Han Population. Schizophr Bull. doi:10.1093/schbul/sby045

15. Li, J., X. Zhang, A. Li, S. Liu, W. Qin, C. Yu, Y. Liu, B. Liu, and T. Jiang. 2018. Polygenic risk for Alzheimer's disease influences precuneal volume in two independent general populations, Neurobiol Aging, 64: 116-22. 

16. Lin, D., J. Chen, S. Ehrlich, J. R. Bustillo, N. Perrone-Bizzozero, E. Walton, V. P. Clark, Y. P. Wang, J. Sui, Y. Du, B. C. Ho, C. S. Schulz, V. D. Calhoun, and J. Liu. 2018. Cross-Tissue Exploration of Genetic and Epigenetic Effects on Brain Gray Matter in Schizophrenia, Schizophr Bull, 44: 443-52 

17. Liu, S., Wang, Y., Xu, K., Ping, F., Li, F., Wang, R., Cheng, X., 2018. Voxel-based comparison of brain glucose metabolism between patients with Cushing's disease and healthy subjects. Neuroimage Clin 17, 354-358. 

18.Osuch, E., Gao, S., Wammes, M., Theberge, J., Willimason, P., Neufeld, R. J., . . . Calhoun, V. (2018). Complexity in mood disorder diagnosis: fMRI connectivity networks predicted medication-class of response in complex patients. Acta Psychiatr Scand. doi:10.1111/acps.12945

19. 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. 2018.Multimodal Fusion with Reference: Searching for Joint Neuromarkers of Working Memory Deficits in Schizophrenia, IEEE Trans Med Imaging, 37(1) 93-105. 

20. Qi, S., X. Yang, L. Zhao, V. D. Calhoun, N. Perrone-Bizzozero, S. Liu, R. Jiang, T. Jiang, J. Sui, and X. Ma. 2018. MicroRNA132 associated multimodal neuroimaging patterns in unmedicated major depressive disorder, Brain 

21. Si, J., Dang, Y., Zhang, Y., Li, Y., Zhang, W., Yang, Y., . . . Jiang, T. (2018). Spinal Cord Stimulation Frequency Influences the Hemodynamic Response in Patients with Disorders of Consciousness. Neurosci Bull. doi:10.1007/s12264-018-0252-4

22. Song, M., Zhang, Y., Cui, Y., Yang, Y., & Jiang, T. (2018). Brain Network Studies in Chronic Disorders of Consciousness: Advances and Perspectives. Neurosci Bull. doi:10.1007/s12264-018-0243-5

23. Sui, J., Qi, S., van Erp, T. G. M., Bustillo, J., Jiang, R., Lin, D., . . . Calhoun, V. D. (2018). Multimodal neuromarkers in schizophrenia via cognition-guided MRI fusion. Nat Commun, 9(1), 3028. doi:10.1038/s41467-018-05432-w

24. Wang, C., B. Liu, X. L. Zhang, Y. Cui, C. S. Yu, and T. Z. Jiang. 2018. Multilocus genetic profile in dopaminergic pathway modulates the striatum and working memory, Scientific Reports, 8.  

25. Xiao, X., F. Zheng, H. Chang, Y. Ma, Y. G. Yao, X. J. Luo, and M. Li. 2018. The Gene Encoding Protocadherin 9 (PCDH9), a Novel Risk Factor for Major Depressive Disorder, Neuropsychopharmacology, 43: 1128-37.  

26. Xie, W., Zheng, F., Evangelou, E., Liu, O., Yang, Z., Chan, Q., . . . Wu, Y. (2018). Blood pressure-lowering drugs and secondary prevention of cardiovascular disease: systematic review and meta-analysis. J Hypertens, 36(6), 1256-1265. doi:10.1097/HJH.0000000000001720

27. Xu, Q., J. L. Fu, F. Liu, W. Qin, B. Liu, T. Z. Jiang, and C. S. Yu. 2018. Left Parietal Functional Connectivity Mediates the Association Between COMT rs4633 and Verbal Intelligence in Healthy Adults, Frontiers in Neuroscience, 126.       

28. Yang, Y. F., H. Y. Yu, W. Q. Li, B. Liu, H. X. Zhang, S. Ding, Y. L. Lu, T. Z. Jiang, and L. X. Lv. 2018. Association between cerebral dopamine neurotrophic factor (CDNF) 2 polymorphisms and schizophreniasusceptibility and symptoms in the Han Chinese population, Behavioral and Brain Functions,14.

29. Yao, D., V. D. Calhoun, Z. Fu, Y. Du, and J. Sui. 2018. An ensemble learning system for a 4-way classification of Alzheimer's disease and mild cognitive impairment, J Neurosci Methods, 302: 75-81. 

30. Ye, C., and J. L. Prince. 2018. Dictionary-based fiber orientation estimation with improved spatial consistency, Med Image Anal, 44: 41-53. 

31. Zheng, F., and W. Xie. 2017. High-sensitivity C-reactive protein and cognitive decline: the English Longitudinal Study of Ageing, Psychol Med: 1-9. 

32. Zheng, F., L. Yan, Z. Yang, B. Zhong, and W. Xie. 2018. HbA1c, diabetes and cognitive decline: the English Longitudinal Study of Ageing, Diabetologia, 61: 839-48.23.

33. Zuo, N., Yang, Z., Liu, Y., Li, J., Jiang, T., 2018. Both activated and less-activated regions identified by functional MRI reconfigure to support task executions. Brain and Behavior. 

34. Zhang, Y., Yang, Y., Si, J., Xia, X., He, J., Jiang, T., 2018. Influence of inter-stimulus interval of spinal cord stimulation in patients with disorders of consciousness: A preliminary functional near-infrared spectroscopy study. NeuroImage: Clinical 17, 1-9. 

35. Zhang, Y. Y., Xu, L., Liang, Z. Y., Wang, K., Hou, B., Zhou, Y., . . . Jiang, T. (2018). Separate Neural Networks for Gains and Losses in Intertemporal Choice. Neurosci Bull. doi:10.1007/s12264-018-0267-x

36. Zhi, D., Calhoun, V. D., Lv, L., Ma, X., Ke, Q., Fu, Z., . . . Sui, J. (2018). Aberrant Dynamic Functional Network Connectivity and Graph Properties in Major Depressive Disorder. Front Psychiatry, 9, 339. doi:10.3389/fpsyt.2018.00339