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1. Chen J, Hutchison KE, Bryan AD, Filbey FM, Calhoun VD, Claus ED, Lin D, Sui J, Du Y, Liu J. 2018. Opposite Epigenetic Associations With Alcohol Use and Exercise Intervention. Front Psychiatry 9:594.
2. Cheng C, Fan L, Xia X, Eickhoff SB, Li H, Li H, Chen J, Jiang T. 2018. Rostro-caudal organization of the human posterior superior temporal sulcus revealed by connectivity profiles. Hum Brain Mapp 39:5112-5125.
3. 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.
4. 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
5. 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.
6. Du Y, Fryer SL, Fu Z, Lin D, Sui J, Chen J, Damaraju E, Mennigen E, Stuart B, Loewy RL, Mathalon DH, Calhoun VD. 2018. Dynamic functional connectivity impairments in early schizophrenia and clinical high-risk for psychosis. Neuroimage 180:632-645.
7. 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.
8. 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
9. 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.
10. Feng F, Wang P, Zhao K, Zhou B, Yao H, Meng Q, Wang L, Zhang Z, Ding Y, Wang L, An N, Zhang X, Liu Y. 2018. Radiomic Features of Hippocampal Subregions in Alzheimer's Disease and Amnestic Mild Cognitive Impairment. Front Aging Neurosci 10:290.
11.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
12. 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.
13. 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.
14. Huang H, Shu C, Chen J, Zou J, Chen C, Wu S, Xiao L, Liu Z, Wang H, Zhou Y, Wang G, Jiang T. 2018. Altered corticostriatal pathway in first-episode paranoid schizophrenia: Resting-state functional and causal connectivity analyses. Psychiatry Res Neuroimaging 272:38-45.
15. 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
16. 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.
17. 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
18. 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.
19. 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
20. 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.
21. 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
22. 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.
23. 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, Jiang T. 2018. A Schizophrenia-Related Genetic-Brain-Cognition Pathway Revealed in a Large Chinese Population. EBioMedicine 37:471-482.
24.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
25. 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.
26. 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
27. Rao S, Luo N, Sui J, Xu Q, Zhang F. 2018. Effect of the SIRT1 gene on regional cortical grey matter density in the Han Chinese population. Br J Psychiatry:1-5.
28. 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
29. Song M, Yang Y, He J, Yang Z, Yu S, Xie Q, Xia X, Dang Y, Zhang Q, Wu X, Cui Y, Hou B, Yu R, Xu R, Jiang T. 2018. Prognostication of chronic disorders of consciousness using brain functional networks and clinical characteristics. Elife 7.
30. 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
31. Su C, Jiang J, Zhang S, Shi J, Xu K, Shen N, Zhang J, Li L, Zhao L, Zhang J, Qin Y, Liu Y, Zhu W. 2018. Radiomics based on multicontrast MRI can precisely differentiate among glioma subtypes and predict tumour-proliferative behaviour. Eur Radiol.
32. 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
33. Vriend C, van den Heuvel OA, Berendse HW, van der Werf YD, Douw L. 2018. Global and Subnetwork Changes of the Structural Connectome in de novo Parkinson's Disease. Neuroscience 386:295-308.
34. Wang C, Liu B, Zhang X, Cui Y, Yu C, Jiang T. 2018. Multilocus genetic profile in dopaminergic pathway modulates the striatum and working memory. Sci Rep 8:5372.
35. Wang J, Feng X, Wu J, Xie S, Li L, Xu L, Zhang Y, Ren X, Hu Z, Lv L, Hu X, Jiang T. 2018. Alterations of Gray Matter Volume and White Matter Integrity in Maternal Deprivation Monkeys. Neuroscience 384:14-20.
36. Wang J, Zuo Z, Xie S, Miao Y, Ma Y, Zhao X, Jiang T. 2018. Parcellation of Macaque Cortex with Anatomical Connectivity Profiles. Brain Topogr 31:161-173.
37. Wu T, Fan J, Chen Y, Xiang J, Zhu D, Zhang J, Shi J, Jiang T. 2018.Interictal Abnormalities of Neuromagnetic Gamma Oscillations in Migraine Following Negative Emotional Stimulation. Front Behav Neurosci 12:169.
38. 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.
39. 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
40. Xu K, Liu Y, Zhan Y, Ren J, Jiang T. 2018. BRANT: A Versatile and Extendable Resting-State fMRI Toolkit. Front Neuroinform 12:52.
41. 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.
42. Yan X, Wang Y, Xu L, Liu Y, Song S, Ding K, Zhou Y, Jiang T, Lin X. 2018. Altered Functional Connectivity of the Primary Visual Cortex in Adult Comitant Strabismus: A Resting-State Functional MRI Study. Curr Eye Res.
43. 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.
44. 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.
45. Ye, C., and J. L. Prince. 2018. Dictionary-based fiber orientation estimation with improved spatial consistency, Med Image Anal, 44: 41-53.
46. Zhang J, Zhang J, Yu S. 2018. Hot Anchors: A Heuristic Anchors Sampling Method in RCNN-Based Object Detection. Sensors (Basel) 18.
47. Zhang L, Luo L, Zhou Z, Xu K, Zhang L, Liu X, Tan X, Zhang J, Ye X, Gao J, Luo B. 2018. Functional Connectivity of Anterior Insula Predicts Recovery of Patients With Disorders of Consciousness. Front Neurol 9:1024.
48. Zheng, F., and W. Xie. 2017. High-sensitivity C-reactive protein and cognitive decline: the English Longitudinal Study of Ageing, Psychol Med: 1-9.
49. 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.
50. 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.
51. Zuo N, Yang Z, Liu Y, Li J, Jiang T. 2018. Core networks and their reconfiguration patterns across cognitive loads. Hum Brain Mapp.
52. 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.
53. 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
54. 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