67. Sun, L., Zhao, T., Liang, X., Xia, M., Li, Q., Liao, X., Gong, G., Wang, Q., Pang, C., Yu, Q., Bi, Y., Chen, P., Chen, R., Chen, Y., Chen, T., Cheng, J., Cheng, Y., Cui, Z., … & He, Y. * (2025). Human lifespan changes in the brain’s functional connectome. Nature Neuroscience, 28, 891–901. https://doi.org/10.1038/s41593-025-01907-4

66. 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

65. Hu, J., Bao, H., Liu, X., Fang, S., Yan, Z., Wang, Z., Zhang, R., Wang, R., Pu, T., Li, C., Cui, Z., Jiang, T.*, & Wang, Y.* (2025). Glioma-white matter tract interactions: A dMRI-based three-tier classification and its clinical relevance. Neuro-Oncology, 27(3). https://doi.org/10.1093/neuonc/noaf036

64. Bu, X., Xia, M., Cui, Z., & He, Y. (2025). Toward individual heterogeneity and neurobiological subtypes in attention-deficit/hyperactivity disorder. Journal of Pacific Rim Psychology, 19. https://doi.org/10.1177/18344909241308101

63. Chen, Q., Kenett, Y.N., Cui, Z., Takeuchi, H., Fink, A., Benedek, M., ... & Beaty, R.E. (2025). Dynamic switching between brain networks predicts creative ability. Communications Biology, 8(1), 54. https://doi.org/10.1038/s42003-025-07470-9

62. 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

61. 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

60. 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

59. Ji, G.J., Cui, Z., D'Arcy, R.C.N., Liao, W., Biswal, B.B., Zhang, Q., Luo, C., Zang, Y.-F., Ding, Z., Zuo, X.-N., Gore, J.C.*, & Wang, K.*(2024). Imaging brain white matter function using resting-state functional MRI. Science Bulletin. ISSN 2095-9273. https://doi.org/10.1016/j.scib.2024.11.001

58. Peng, S., Cui, Z., Zhong, S., Zhang, Y., Cohen, A. L., Fox, M. D., & Gong, G. (2024). Heterogenous brain activations across individuals localize to a common network. Communications Biology, 7(1), 1270. https://doi.org/10.1038/s42003-024-06969-x

57. Li, J., Jin, S., Li, Z., Zeng, X., Yang, Y., Luo, Z., Xu, X., Cui, Z., Liu, Y., & Wang, J.* (2024). Morphological Brain Networks of White Matter: Mapping, Evaluation, Characterization, and Application. Advanced Science, 11, 2400061. https://doi.org/10.1002/advs.202400061

56. Wu, X., Zhang, Y., Xue, M., Li, J., Li, X., Cui, Z., et al. (2024). Heritability of Functional Gradients in the Human Subcortico-cortical Connectivity. Communications Biology, 7, 854. https://doi.org/10.1038/s42003-024-06551-5

55. Keller, A. S., Moore, T. M., Luo, A., Visoki, E., Gataviņš, M. M., Shetty, A., Cui, Z., ... & Barzilay, R. (2024). A general exposome factor explains individual differences in functional brain network topography and cognition in youth. Developmental Cognitive Neuroscience, 66, 101370. https://doi.org/10.1016/j.dcn.2024.101370

54. Wang, X., Krieger-Redwood, K., Lyu, B., Lowndes, R., Wu, G., Souter, N. E., Cui，Z., ... & Jefferies, E. (2024). The brain’s topographical organization shapes dynamic interaction patterns that support flexible behaviour based on rules and long term knowledge. Journal of Neuroscience.https://doi.org/10.1523/JNEUROSCI.2223-23.2024

53. Shu, Y., Ao, N., Wen, X., Cui, Z., Qu, D., & Chen, R. (2024). The p Factor Outweighs the Specific Internalizing Factor in Predicting Recurrences of Adolescent Depression. European Psychiatry, 1–32. https://doi.org/10.1192/J.EURPSY.2024.18

52. Keller, A. S., Pines, A. R., Shanmugan, S., Sydnor, V. J., Cui, Z., Bertolero, M. A., Barzilay, R., Alexander-Bloch, A. F., Byington, N., Chen, A., Conan, G. M., Davatzikos, C., Feczko, E., Hendrickson, T. J., Houghton, A., Larsen, B., Li, H., Miranda-Dominguez, O., Roalf, D. R., … Satterthwaite, T. D. (2023). Personalized functional brain network topography is associated with individual differences in youth cognition. Nature Communications, 14(1). https://doi.org/10.1038/s41467-023-44087-0

51. Wen, X., Qu, D., Liu, D., Shu, Y., Zhao, S., Wu, G., Wang, Y., Cui, Z., Zhang, X., & Chen, R. (2023). Brain structural and functional signatures of multi-generational family history of suicidal behaviors in preadolescent children. Molecular Psychiatry. https://doi.org/10.1038/s41380-023-02342-2

50. Wen, X., Qu, D., Zhang, X., Wang, Y., Cui, Z*., Zhang, X*., & Chen, R*. (2023). The transition trajectories of self-injurious thoughts and behaviours among children from a biopsychosocial perspective. Nature Mental Health 2023, 1–10. https://doi.org/10.1038/s44220-023-00130-z

49. Qu, D., Liu, D., Cai, C., Zhang, X., Yu, J., Zhang, Q., Liu, K., Wei, Z., Tan, J., Cui, Z., Zhang, X., & Chen, R. (2023). Process model of emotion regulation-based digital intervention for emotional problems. DIGITAL HEALTH, 9, 1–15. https://doi.org/10.1177/20552076231187476

48. 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

47. Gao, J., Jiang, R., Tang, X., Chen, J., Yu, M., Zhou, C., Wang, X., Zhang, H., Huang, C., Yang, Y., Zhang, X., Cui, Z., & Zhang, X. (2023). A neuromarker for deficit syndrome in schizophrenia from a combination of structural and functional magnetic resonance imaging. CNS Neurosci Ther, 00, 1–12. https://doi.org/10.1111/cns.14297

46. Qu, D., Wen, X., Liu, B., Zhang, X., He, Y., Chen, D., Duan, X., Yu, J., Liu, D., Zhang, X., Ou, J., Zhou, J., Cui, Z., An, J., Wang, Y., Zhou, X., Yuan, T., Tang, J., Yue, W., & Chen, R. (2023). Non-suicidal self-injury in Chinese population: a scoping review of prevalence, method, risk factors and preventive interventions. The Lancet Regional Health - Western Pacific, 100794. https://doi.org/10.1016/J.LANWPC.2023.100794

45. Wen, X., Shu, Y., Qu, D., Wang, Y., Cui, Z., Zhang, X., & Chen, R. (2023). Associations of bullying perpetration and peer victimization subtypes with preadolescent ’ s suicidality , non ‑ suicidal self ‑ injury , neurocognition , and brain development. BMC Medicine, 1–12. https://doi.org/10.1186/s12916-023-02808-8

44. Li, H., Srinivasan, D., Zhuo, C., Cui, Z., Gur, R. E., Gur, R. C., Oathes, D. J., Davatzikos, C., Satterthwaite, T. D., & Fan, Y. (2023). Computing personalized brain functional networks from fMRI using self-supervised deep learning. Medical Image Analysis, 85, 102756. https://doi.org/10.1016/J.MEDIA.2023.102756

43. Yang, G., Bozek, J., Noble, S., Han, M., Wu, X., Xue, M., Kang, J., Jia, T., Fu, J., Ge, J., Cui, Z., Li, X., Feng, J., & Gao, J.-H. (2023). Global diversity in individualized cortical network topography. Cerebral Cortex. https://doi.org/10.1093/CERCOR/BHAD002

42. Ge, J., Yang, G., Han, M., Zhou, S., Men, W., Qin, L., Lyu, B., Li, H., Wang, H., Rao, H., Cui, Z., Liu, H., Zuo, X.-N., & Gao, J.-H. (2022). Increasing diversity in connectomics with the Chinese Human Connectome Project. Nature Neuroscience 2022, 1–10. https://doi.org/10.1038/s41593-022-01215-1

41. Qi, L., Xu, C., Wang, X., Du, J., He, Q., Wu, D., Wang, X., Jin, G., Wang, Q., Chen, J., Wang, D., Zhang, H., Zhang, X., Wei, P., Shan, Y., Cui, Z., Wang, Y., Shu, Y., Zhao, G., … Ren, L. (2022). Intracranial direct electrical mapping reveals the functional architecture of the human basal ganglia. Communications Biology 2022 5:1, 5(1), 1–10. https://doi.org/10.1038/s42003-022-04084-3

40. Wei, Y., Li, C., Cui, Z., Mayrand, R. C., Zou, J., Wong, A. L. K. C., Sinha, R., Matys, T., Schönlieb, C. B., & Price, S. J. (2022). Structural connectome quantifies tumour invasion and predicts survival in glioblastoma patients. Brain, 139(4), 2021.03.09.434656. https://doi.org/10.1093/brain/awac360

39. Wang, X., Krieger-Redwood, K., Zhang, M., Cui, Z., Wang, X., Karapanagiotidis, T., Du, Y., Leech, R., Bernhardt, B. C., Margulies, D. S., Smallwood, J., & Jefferies, E. (2022). Physical distance to sensory-motor landmarks predicts language function. Cerebral Cortex. 1–14. https://doi.org/10.1093/cercor/bhac344

38. Shanmugan, S., Seidlitz, J., Cui, Z., Adebimpe, A., Bassett, D. S., Bertolero, M. A., Davatzikos, C., Fair, D. A., Gur, R. E., Gur, R. C., Larsen, B., Li, H., Pines, A., Raznahan, A., Roalf, D. R., Shinohara, R. T., Vogel, J., Wolf, D. H., Fan, Y., … Satterthwaite, T. D. (2022). Sex differences in the functional topography of association networks in youth. PNAS, 119(33), e2110416119.

37. Xia, C. H., Barnett, I., Tapera, T. M., Adebimpe, A., Baker, J. T., Bassett, D. S., Brotman, M. A., Calkins, M. E., Cui, Z., Leibenluft, E., Linguiti, S., Lydon-Staley, D. M., Martin, M. L., … Satterthwaite, T. D. (2022). Mobile footprinting: linking individual distinctiveness in mobility patterns to mood, sleep, and brain functional connectivity. Neuropsychopharmacology, 1-10.

36. 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., … Satterthwaite, T. D. (2022). Linking Individual Differences in Personalized Functional Network Topography to Psychopathology in Youth. Biological Psychiatry, 118159.

35. Pines, A. R., Larsen, B., Cui, Z., Sydnor, V. J., Bertolero, M. A., Adebimpe, A., Alexander-Bloch, A. F., Davatzikos, C., Fair, D. A., Gur, R. C., Gur, R. E., Li, H., Milham, M. P., Moore, T. M., Murtha, K., Parkes, L., Thompson-Schill, S. L., Shanmugan, S., … Satterthwaite, T. D. (2022). Dissociable multi-scale patterns of development in personalized brain networks. Nat Comm, 13(1), 2647.

34. Baller, E. B., Valcarcel, A. M., Adebimpe, A., Alexander-Bloch, A., Cui, Z., Gur, R. C., Gur, R. E., Larsen, B. L., Linn, K. A., O’Donnell, C. M., Pines, A. R., Raznahan, A., Roalf, D. R., Sydnor, V. J., Tapera, T. M., Tisdall, M. D., Vandekar, S., Xia, C. H., Detre, J. A., … Satterthwaite, T. D. (2022). Developmental coupling of cerebral blood flow and fMRI fluctuations in youth. Cell Reports

33. Larsen, B., Cui, Z., Adebimpe, A., Pines, A., Alexander-Bloch, A., Bertolero, M., … Satterthwaite, T. D. (2022). A developmental reduction of the excitation:inhibition ratio in association cortex during adolescence. Science Advances, 8(5), 8750. https://doi.org/10.1126/sciadv.abj8750

32. Zhou, D., Lynn, C. W., Cui, Z., Ciric, R., Baum, G. L., Moore, T. M., Roalf, D. R., Detre, J. A., Gur, R. C., Gur, R. E., Satterthwaite, T. D., & Bassett, D. S. (2021). Efficient Coding in the Economics of Human Brain Connectomics. Network Neuroscience, 1–65. https://doi.org/10.1162/netn_a_00223

31. Xie, Y., Xu, Z., Xia, M., Liu, J., Shou, X., Cui, Z., Liao, X., & He, Y. (2021). Alterations in Connectome Dynamics in Autism Spectrum Disorder: A Harmonized Mega- and Meta-Analysis Study Using the ABIDE Dataset. Biological Psychiatry. https://doi.org/https://doi.org/10.1016/j.biopsych.2021.12.004

30. 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

29. Zeng Y, Tao F, Cui Z, Wu L, Xu J, Dong W, Liu C, Yang Z, Qin S. (2021). Dynamic integration and segregation of amygdala subregional functional circuits linking to physiological arousal. NeuroImage, 118224.

28. Wu D, Yang L, Gong G, Zheng Y, Jin C, Qi L, Li Y, Wu D, Cui Z, He X, Ren L. (2021). Characterizing the hyper‐and hypometabolism in temporal lobe epilepsy using multivariate machine learning. Journal of Neuroscience Research.

27. Durham EL, Jeong HJ, Moore TM, Dupont RM, Cardenas-Iniguez C, Cui Z, Stone FE, Berman MG, Lahey BB, Kaczkurkin AN. Association of gray matter volumes with general and specific dimensions of psychopathology in children. (2021). Neuropsychopharmacology. 1-7.

26. Chen R*, Cui Z*, Capitao L, Wang G, Satterthwaite TD, Harmer CJ. Precision biomarkers for mood disorders based on brain imaging. (2020) BMJ. 371:m3618.

25. Baller EB, Kaczkurkin AN, Sotiras A, Adebimpe A, Bassett DS, Calkins ME, Chand GB, Cui Z, Gur RE, Gur RC, Linn KA, Moore TM, Roalf DR, Varol E, Wolf DH, Xia CH, Davatzikos C, Satterthwaite TD. Neurocognitive and functional heterogeneity in depressed youth. (2021). Neuropsychopharmacology. 46(4), 783-790.

24. Feng C, Zhu Z, Cui Z, Ushakov V, Dreher JC, Luo W, Gu R, Wu X, Krueger F. Prediction of trust propensity from intrinsic brain morphology and functional connectome. (2020) Human Brain Mapping.

23. Xu P, Van Dam NT, Tol MJ, Shen X, Cui Z, Gu R, Qin S, Aleman A, Fan J, Luo Y. Amygdala–prefrontal connectivity modulates loss aversion bias in anxious individuals. (2020) NeuroImage. 218, 116957.

22. Liu G, Cui Z, Yu H, Rotshtein P, Zhao F, Wang H, Peng K, Sui J. Neural responses to intention and benefit appraisal are critical in distinguishing gratitude and joy. (2020) Scientific Reports. 10(1), 1-12.

21. Cui Z, Stiso J, Baum GL, Kim JZ, Roalf DR, Betzel RF, Gu S, Lu Z, Xia CH, He X, Ciric R, Oathes DJ, Moore TM, Shinohara RT, Ruparel K, Davatzikos C, Pasqualetti F, Gur RE, Gur RC, Bassett DS, Satterthwaite TD. Optimization of energy state transition trajectory supports the development of executive function during youth. (2020) eLife. 9:e53060.

20. Xia CH, Ma Z, Cui Z, Bzdok D, Thirion B, Bassett DS, Satterthwaite TD, Shinohara RT, Witten DM. Multi‐scale network regression for brain‐phenotype associations. (2020) Human Brain Mapping. 41(10), 2553-2566.

19. Kaczkurkin AN, Sotiras A, Baller EB, Barzilay R, Calkins ME, Chand GB, Cui Z, Erus G, Fan Y, Gur RE, Gur RC, Moore TM, Roalf DR, Rosen AFG, Ruparel K, Shinohara RT, Varol E, Wolf DH, Davatzikos C, Satterthwaite TD. (2020). Neurostructural heterogeneity in youths with internalizing symptoms. Biological psychiatry, 87(5), 473-482.

18. 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.