14. Yang, H.#, Wu, G.#, Li, Yaoxin., Xu, X., Cong, J., Xu, H., Ma, Y., Li, Yang., Chen, R., Pines, A., Xu, T., Sydnor, V.J., Satterthwaite, T.D., & Cui, Z.* (2025). Connectional axis of individual functional variability: Patterns, structural correlates, and relevance for development and cognition. Proceedings of the National Academy of Sciences of the United States of America, 122(12), e2420228122. https://doi.org/10.1073/pnas.2420228122

13. Li, Z.#, Zhao, Y.#, Hu, Y., Li, Y., Zhang, K., Gao, Z., Tan, L., Jia, H., Cong, J., Liu, H., Li, X., Cao, A.*, Cui, Z.*, & Zhao, C.* (2024). Transcranial low-level laser stimulation in the near-infrared-II region (1064 nm) for brain safety in healthy humans. Brain Stimulation, 17(6), 1307-1316. https://doi.org/10.1016/j.brs.2024.11.010

12. Zhao, S.#, Su, H.#, Cong, J., Wen, X., Yang, H., Chen, P., Wu, G., Fan, Q., Ma, Y., Xu, X., Hu, C., Li, H., Keller, A., Pines, A., Chen, R.*, & Cui, Z.* (2024). Hierarchical individual variation and socioeconomic impact on personalized functional network topography in children. BMC Medicine, 22, 556. https://doi.org/10.1186/s12916-024-03784-3

11. Chen, P.#, Yang, H.#, Zheng, X., Jia, H., Hao, J, Xu, X., Li, C, He, X., Chen, R., Okubo, T.S.*, & Cui, Z.* (2024). Group-common and individual-specific effects of structure-function coupling in human brain networks with graph neural networks. Imaging Neuroscience. https://doi.org/10.1162/imag_a_00378

10. Huang, Y.#, Wei, P.-H.#, Xu, L.#, Chen, D., Yang, Y., Song, W., Yi, Y., Jia, X., Wu, G., Fan, Q., Cui, Z.*, & Zhao, G.* (2023). Intracranial electrophysiological and structural basis of BOLD functional connectivity in human brain white matter. Nature Communications 2023 14:1, 14(1), 1–9. https://doi.org/10.1038/s41467-023-39067-3

9. Cui, Z.*, Pines, A. R., Larsen, B., Sydnor, V. J., Li, H., Adebimpe, A., Alexander-Bloch, A. F., Bassett, D. S., Bertolero, M., Calkins, M. E., Davatzikos, C., Fair, D. A., Gur, R. C., Gur, R. E., Moore, T. M., Shanmugan, S., Shinohara, R. T., Vogel, J. W., Xia, C. H., … Satterthwaite, T. D.* (2022). Linking Individual Differences in Personalized Functional Network Topography to Psychopathology in Youth. Biological Psychiatry, 118159. https://doi.org/10.1016/j.biopsych.2022.05.014

8. Zhang, J., Xu, L., & Cui, Z. (2021). Convergent developmental principles between Caenorhabditis elegans and human connectomes. Trends in Cognitive Sciences, 25(12), 1015–1017. https://doi.org/10.1016/J.TICS.2021.10.001

7. Chen, R.#, Cui, Z.#, Capitão, L., Wang, G., Satterthwaite, T. D., & Harmer, C.* (2020). Precision biomarkers for mood disorders based on brain imaging. The BMJ, 371. https://doi.org/10.1136/bmj.m3618

6. Cui, Z., Stiso, J., Baum, G. L., Kim, J. Z., Roalf, D. R., Betzel, R. F., Gu, S., Lu, Z., Xia, C. H., He, X., Ciric, R., Oathes, D. J., Moore, T. M., Shinohara, R. T., Ruparel, K., Davatzikos, C., Pasqualetti, F., Gur, R. E., Gur, R. C., … Satterthwaite, T. D. (2020). Optimization of energy state transition trajectory supports the development of executive function during youth. eLife, 9, 1–60. https://doi.org/10.7554/ELIFE.53060

5. Cui Z, Li H, Xia CH, Larsen B, Adebimpe A, Baum GL, Cieslak M, Gur RE, Gur RC, Moore TM, Oathes DJ, Alexander-Bloch A, Raznahan A, Roalf DR, Shinohara RT, Wolf DH, Davatzikos C, Bassett DS, Fair DA, Fan Y, Satterthwaite TD*. Individual variation in functional topography of association networks in youth. (2020) Neuron. 106(2): 340-53.

4. 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.

3. 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.

2. 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.

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.