崔再續，于2021年4月起擔任北京腦科學與類腦研究所研究員，于2024年7月擔任協和醫學院準長聘系列助理教授。2011年本科畢業于安徽大學計算機科學與技術學院，2017年博士畢業于北京師范大學認知科學與學習國家重點實驗室，后在美國賓夕法尼亞大學醫學院從事博士后研究至2021年3月。獲國家海外優青，北京市科技新星，美國心理學會新星獎。主持科技部“腦科學與類腦研究”重大項目青年科學家項目、國自然面上、以及醫學院非共識專項等項目。

長期從事基于多模態磁共振成像的兒童青少年腦網絡典型及異常發育規律研究。研究涉及神經影像、機器學習、網絡科學、控制論、心理學、醫學和信息技術的交叉科學領域?；诖殴舱癯上衽c腦電技術構建大尺度腦結構與功能網絡，采用機器學習和網絡科學等解析其組織架構；刻畫兒童青少年腦結構與功能網絡的發育規律及與執行功能的關系，并解析其在腦發育疾?。ㄈ鏏DHD）中的異常模式。進而，研發腦網絡引導的非侵入式光刺激技術，以實現認知和癥狀的有效干預。以上研究發表在本領域國際主流期刊SCI論文62篇。培養博士9名、協助培養博士4名、博士后5名。

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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.^#, Capit?o, 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）