Zhiyi Chen

Dr. Zhiyi Chen is appointed professorship at Experimental Research Center for Medical and Psychological Sciences, Third Military Medical University. He received his DPhil in Psychology from the Southwest University. His research focuses on the computational neuroimaging psychiatry, particularly in neurocomputational mechanism of procrastination problems, depression-anxiety comorbidity. He also has huge enthusiasm to appeal and promote open science practices in psychiatric sciences. He currently dedicates to capture and address the questionable open sciences practices in the psychological and psychiatric sciences. Furthermore, he poses interests on computational neuroimaging (e.g., machine learning models and supervised artificial intelligence techniques) and brain conncectome-based mechanisms of procrastination problems and other psychiatric disorders, which established the unified triple brain network model of procrastination. Leveraging the genetic-macro-micro-molecular framework, he established the common bridging factor (cb factor) to understand neurophysiopathological underpinnings of mood disorders, especially to depression and anxiety. Over the past five years, he has published more than 50 papers as a leading or corresponding author in prestigious journals including Nature Mental Health, Nature Communications, PNAS, PNAS Nexus, eLife, Molecular Psychiatry, JAMA Network Open, and BMC Medicine. Multiple publications have been recognized as ESI Top 1% Highly Cited Papers and ESI Top 1‰ Hot Papers. His work has been featured by globally renowned media outlets such as Forbes and Science Magazine, and he has been interviewed by a Senior Advisor of the United Nations Development Programme, with the coverage appearing on the front page of University World News. He has been invited to serve as Advisory Editor for Behavior Research Methods, Academic Editor for PLOS Mental Health and PLOS Computational Biology, and Editorial Board Member for Scientific Data, the flagship data journal of Nature Portfolio. His research is supported by funding from the National Natural Science Foundation of China and the PLA Talent Foundation, with over $ 500,000 funds for supporting studies aforementioned.

1. Yan, W., Yadollahpour, A., Chen, Z.* (2025). The hidden crisis in open science: when officially ‘open’ mental health databanks close doors. Nature Mental Health, 3, 1293-1295. 2. Hu, Y., Tang, Y., Li, W., Zheng, D., Jin, Y., Fan, Q., ... & Chen, Z*. (2025). Map neurogenetic characteristics of psychopathological procrastination using normative modeling in a prospective twin cohort. Molecular Psychiatry, in press. 3. Chen, Z.*, Ren, Z., Li, W., Huo, Z., Wang, Z., Liu, Y., ... & Feng, T. (2025). Modulating task outcome value to mitigate real-world procrastination via noninvasive brain stimulation. eLife, in press. 4. Liu, X., Li, W., Zhang, Q., Lei, J., Han, X., Wang, Y., ... & Chen, Z.* (2025). Risk of bias and low reproducibility in meta-analytic evidence from fast-tracked publications during the coronavirus disease 2019 pandemic. PNAS nexus, 4(8), pgaf238. 5.Chen, Z*., Tang, Y., Liu, X., Li, W., Hu, Y., Hu, B., Xu, T., Zhang, R., Xia, L., Zhang, J. X., Xiao, Z., Chen, J., Feng, Z., Zhou, Y., He, Q., Qiu, J., Lei, X., Chen, H., Qin, S., & Feng, T. (2024). Edge-centric connectome-genetic markers of bridging factor to comorbidity between depression and anxiety. Nature communications, 15(1), 10560.. 6. Xu, T., Chen, Z., Zhou X., Wang, L., Zhou, F., Yao. D., Zhou. B., & Benjamin. B. (2024) The central renin angiotensin II system: a genetic pathway, functional decoding and selective target engagement characterization in humans, PNAS, 121(8), e2306936121. 7. Chen, Z.*, Hu, B., Liu, X., Becker, B., Eickhoff, S. B., Miao, K., Gu, X., Tang, Y., Dai, X., Li, C., Leonov, A., Xiao, Z., Feng, Z., Chen, J., & Chuan-Peng, H. (2023). Sampling inequalities affect generalization of neuroimaging-based diagnostic classifiers in psychiatry. BMC medicine, 21(1), 241. 8. Chen, Z.*, Liu, X., Yang, Q., Wang, Y. J., Miao, K., Gong, Z., Yu, Y., Leonov, A., Liu, C., Feng, Z., & Chuan-Peng, H. (2023). Evaluation of Risk of Bias in Neuroimaging-Based Artificial Intelligence Models for Psychiatric Diagnosis: A Systematic Review. JAMA network open, 6(3), e231671. 9. Chen., Z et al. (2022). Functional connectome of human cerebellum, NeuroImage, 215:119015 10. Chen, Z., Peiwei Liu, Chenyan Zhang, Tingyong Feng*(2020). Brain morphological dynamics of procrastination: the crucial role of the self-control, Emotional and Episodic Prospectiosn Network, Cerebral Cortex, (5)5: 2834–2853