崔再续，于2021年4月起担任北京脑科学与类脑研究所研究员，于2024年7月担任协和医学院准长聘系列助理教授。2011年本科毕业于安徽大学计算机科学与技术学院，2017年博士毕业于北京师范大学认知科学与学习国家重点实验室，后在美国宾夕法尼亚大学医学院从事博士后研究至2021年3月。获国家海外优青，北京市科技新星，美国心理学会新星奖。主持科技部“脑科学与类脑研究”重大项目青年科学家项目、国自然面上、以及医学院非共识专项等项目。

长期从事基于多模态磁共振成像的儿童青少年脑网络典型及异常发育规律研究。研究涉及神经影像、机器学习、网络科学、控制论、心理学、医学和信息技术的交叉科学领域。基于磁共振成像与脑电技术构建大尺度脑结构与功能网络，采用机器学习和网络科学等解析其组织架构；刻画儿童青少年脑结构与功能网络的发育规律及与执行功能的关系，并解析其在脑发育疾病（如ADHD）中的异常模式。进而，研发脑网络引导的非侵入式光刺激技术，以实现认知和症状的有效干预。以上研究发表在本领域国际主流期刊SCI论文62篇。培养博士9名、协助培养博士4名、博士后5名。

1．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.

2．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.*. Transcranial low-level laser stimulation in the near-infrared-II region (1064 nm) for brain safety in healthy humans. Brain Stimulation, Volume 17, Issue 6, 2024.Pages 1307-1316, ISSN 1935-861X.

3．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.*. Hierarchical individual variation and socioeconomic impact on personalized functional network topography in children. BMC Med 22, 556 (2024).

4．Chen, P.^#, Yang, H.^#, Zheng, x, jia, H, Hao, ., Xu, x, Li, ., He, X, Chen, R, Okubo, Ts.*,& Cui, Z.*(2024); Group-common and individual-specific effects of structure-function coupling in human brain networks with graph neural networks. Imaging Neuroscience 2024.

5．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.

6．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.

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.

8．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.

9．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.（ C100）

10．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.（ C100）