17. Baum GL, Cui Z, Roalf DR, Ciric R, Betzel RF, Larsen B, Cieslak M, Cook PA, Xia CH, Moore TM, Ruparel K, Oathes DJ, Alexander-Bloch AF, Shinohara RT, Raznahan A, Gur RE, Gur RC, Bassett DS, Satterthwaite TD. Development of structure-function coupling in human brain networks during youth. (2020) PNAS, 117 (1): 771-778.

16. Chen Q, Beaty RE, Cui Z, Sun J, He H, Zhuang K, Ren Z, Liu G, Qiu J. Brain hemispheric involvement in visuospatial and verbal divergent thinking. (2019) NeuroImage, 202, 116065.

15. Hong W, Lin Q, Cui Z, Liu F, Xu R, Tang C. Diverse functional connectivity patterns of resting-state brain networks associated with good and poor hand outcomes following stroke. (2019) NeuroImage: Clinical, 24, 102065.

14. Kaczkurkin AN, Park SS, Sotiras A, Moore TM, Calkins M, Cieslak M, Rosen AFG, Ciric R, Xia CH, Cui Z, Sharma A, Wolf DH, Rupareel K, Pine DS, Shinohara RT, Roalf DR, Gur RC, Davatzikos C, Gur RE, Satterthwaite TD. Evidence for dissociable linkage of dimensions of psychopathology to brain structure in youths. (2019) American Journal of Psychiatry. doi.org/10.1176/appi.ajp.2019.18070835

13. Li Y, Cui Z, Liao Q, Dong H, Zhang J, Shen W, Zhou W. Support vector machine-based multivariate pattern classification of methamphetamine dependence using arterial spin labeling. (2019). Addiction Biology. 1-9. Doi: 10.1111/adb.12705.

12. Tang H, Lu X, Cui Z, Feng C, Lin Q, Cui X, Su S, Liu C. Resting-state Functional Connectivity and Deception: Exploring Individualized Deceptive Propensity by Machine Learning. (2018) Neuroscience. 395. 101-112.

11. Feng C*, Cui Z*, Cheng D, Xu R, Gu R. Individualized prediction of dispositional worry using white matter connectivity. (2019). Psychological Medicine. 49(12): 1999-2008.

10. Xia CH, Ma Z, Ciric R, Gu S, Betzel RF, Kaczkurkin AN, Calkins ME, Cook PA, Garcia de la Garza A, Vandekar S, Cui Z, Moore TM, Roalf DR, Ruparel K, Wolf DH, Davatzikos C, Gur RC, Gur RE, Shinohara RT, Bassett DS, Satterthwaite TD. Linked dimensions of psychopathology and functional connectivity in brain networks. (2018) Nature communications. 9(1): 3003

9. Wu X, Zhang J, Cui Z, Tang W, Shao C, Hu J, Zhu J, Zhao Y, Lu L, Chen G, Northoff G, Gong G, Mao Y, He Y. White matter deficits underlying the impaired consciousness level in patients with disorders of consciousness. (2018) Neuroscience Bulletin. 34(4). 668-678.

8. Cui Z, Gong G. The effect of machine learning regression algorithms and sample size on individualized behavioral prediction with functional connectivity features. (2018) NeuroImage, 178: 622-37.

7. Chen X, Zhao Y, Zhong S, Cui Z, Li J, Gong G, Dong Q, Nan Y. The lateralized arcuate fasciculus in developmental pitch disorders among mandarin amusics: left for speech and right for music. (2018) Brain Structure and Function. 223(4): 2013-2024.

6. Cui Z*, Su M*, Li L, Shu H, Gong G. Individualized prediction for reading comprehension abilities using gray matter volume. (2018) Cerebral Cortex, 28(5): 1656-72.

5. Zhao Y, Chen X, Zhong S, Cui Z, Gong G, Dong Q, Nan Y. Abnormal topological organization of the white matter network in Mandarin speakers with congenital amusia. (2016) Scientific Reports. 6. 26505.

4. Wang X, Fang Y, Cui Z, Xu Y, He Y, Guo Q, Bi Y. Representing object categories by connections: Evidence from a multivariate connectivity pattern classification approach. (2016) Human Brain Mapping, doi: 10.1002/hbm.23268.

3. Cui Z*, Xia Z*, Su M, Shu H, Gong G. Disrupted white matter connectivity underlying developmental dyslexia: a machine learning approach. (2016) Human Brain Mapping, 37(4):1443-58.

2. Cui Z, Zhao C, Gong G. Parallel workflow tools to facilitate human brain MRI post-processing. (2015) Frontiers in Neuroscience, 9:171. doi: 10.3389/fnins.2015.00171.

1. Cui Z, Zhong S, Xu P, He Y, Gong G. PANDA: a pipeline toolbox for analyzing brain diffusion images. (2013) Frontiers in Human Neuroscience, 7:42. doi: 10.3389/fnhum.2013.00042.