师资队伍

严超赣，清华大学心理与认知科学系长聘教授，博士生导师，清华大学文化心理学研究中心主任，入选爱思唯尔中国高被引学者（2019~2025年度）和斯坦福全球前2%顶尖科学家，获国际人脑图谱学会青年科学家奖、北京市科学技术奖自然科学奖二等奖（第一完成人）、中国科学院优秀导师奖和中国科学院优秀党务工作者奖，受国家自然科学基金委员会青年科学基金项目（B类）（原优秀青年科学基金项目）、面上项目、国家重点研发计划课题、中国科学院人才计划择优支持、北京市科技新星等项目资助。2006年毕业于北京科技大学获学士学位，2011年毕业于北京师范大学获博士学位。随后赴美留学，在美国内森克兰精神病学研究所和纽约大学儿童与青少年精神病学系先后担任研究科学家(Research Scientist)和研究助理教授(Research Assistant Professor)职位。2015年加入中国科学院心理研究所任研究员，历任心理所认知与发展心理学研究室主任，抑郁症大数据国际研究中心主任，磁共振成像研究中心主任和所务委员。2024年加入清华大学任心理与认知科学系长聘教授。他长期聚焦于脑影像技术方法研究，致力于开发基于脑影像的抑郁症精准诊疗。1）他提出了高信效度的脑影像计算方法和校正解决方案，开发了脑影像标准化分析平台（DPARSF/DPABI/DPABISurf/DPABIFiber/DPABINet，被引8000余次），正试图建立可用于脑疾病个体化异常检测的中国人脑影像参考常模（RESTING）；2）他针对小样本抑郁症脑影像研究异质性大的问题，通过创新的开放大团队合作模式创建了抑郁症脑影像大数据联盟（DIRECT），并基于多中心大样本数据，发现了可靠的抑郁症患者脑影像学异常模式，提出了抑郁反刍思维默认网络干预新假说，发明了抑郁症脑影像大数据引导的个体化经颅磁刺激靶点精准干预算法，通过开展“心花人生”抑郁症研究与干预计划旨在提出抑郁症新型心理物理综合干预方案；3）开发了研究脑自发活动和自发思维的Think Aloud fMRI研究范式，结合自然语言处理深度学习模型解码人类自发思维活动，拟建立基于fMRI的“读心”范式，进而反向推进AI思维透明化研究；4）提出“辩证思维整合脑网络模型”（DIN），以文化赋能心理健康，推动人类与AI文明的共同发展。他在Science Bulletin、Nature Mental Health和PNAS等国际主流学术期刊共发表130余篇学术论文，其中60余篇为第一作者和/或通讯作者。研究成果得到国际同行的高度关注，总引用3万余次，h指数54（Google Scholar）。有5篇第一/通讯作者论文入选ESI高被引论文（其中1篇为前万分之一，1篇为前千分之一），4篇单篇被引过千。他现任《Imaging Neuroscience》执行编辑。

2006 学士 自动化 北京科技大学

2011 博士 认知神经科学 北京师范大学

2011-2015 美国内森克兰精神病学研究所(The Nathan Kline Institute for Psychiatric Research) 研究科学家(Research Scientist)

2013-2015 美国纽约大学儿童与青少年精神病学系(Department of Child and Adolescent Psychiatry, New York University School of Medicine) 研究助理教授(Research Assistant Professor)

2015-2024 中国科学院心理研究所 研究员

2024- 清华大学心理与认知科学系 长聘教授

1.         脑影像计算方法

2.         基于脑影像的抑郁症精确诊断和精准治疗

3.         基于功能磁共振成像和深度学习的“读心”

4.         中华传统文化在心理健康促进中的应用

1. Yan, C.-G.*, Wang, Z.-H., Han, L.K.M., Alexander, N., Alnæs, D., Başgöze, Z., Bauduin, S.E.E.C., Bauer, J., Benedetti, F., Berger, K., Besteher, B., Borgers, T., Bülow, R., Cao, L.-P., Chen, G.-M., Chen, J.-S., Chen, S.-C., Chen, T., Chen, T.-L., Chen, X., Chen, Y.-R., Cheng, Y.-Q., Chu, Z.-S., Colle, R., Connolly, C.G., Corruble, E., Couvy-Duchesne, B., Cui, X.-L., Cullen, K.R., Dannlowski, U., Davey, C., Dima, D., Dols, A., Erwin-Grabner, T., Evans, J.W., Flinkenflügel, K., Fu, C.H.Y., Fuentes-Claramonte, P., Gao, Q.-L., Gong, Q.-Y., Gönül, A.S., Gotlib, I.H., Goya-Maldonado, R., Grabe, H.J., Groenewold, N., Grotegerd, D., Guo, W.-B., Hahn, T., Hall, G.B., Hamilton, J.P., Harrison, B., Hatton, S., He, C.-C., Hermesdorf, M., Hickie, I.B., Ho, T.C., Hu, Z.-J.-Y., Huang, Q., Jahanshad, N., Jamalabadi, H., Jamieson, A., Ji, X.-L., Jia, F.-N., Kamishikiryo, T., Kircher, T., Koopowitz, S.-M., Kraus, A., Krug, A., Kuang, L., Lagopoulos, J., Lancaster, T., Landrø, N.I., Leehr, E.J., Li, M., Li, B.-J., Li, F., Li, H.-X., Li, T., Li, X.-Y., Liao, Y.-F., Lin, Z.-D., Linden, D.E.J., Liu, H.-L., Liu, X.-Y., Liu, Z.-N., Liu, Y.-S., Long, Y.-C., Lu, J.-P., Lu, B., MacMaster, F.P., Maglanoc, L.A., McIntosh, A.M., Medland, S., Mehler, D.M.A., Meinert, S., Mwangi, B., Ojha, A., Okada, G., Oudega, M.L., Penninx, B.W.J.H., Poletti, S., Pomarol-Clotet, E., Portella, M.J., Qiu, J., Reneman, L., Rise, H.S., Rodriguez-Cano, E., Sacchet, M.D., Salvador, R., Schlieper, H., Schrantee, A., Shan, X.-X., Shinzato, H., Si, T.-M., Sim, K., Soares, J.C., Stein, D.J., Straube, B., Strike, L.T., Sun, P.-F., Thomas-Odenthal, F., Thomopoulos, S.I., Thompson, P.M., Toenders, Y., Uyar, A., van der Wee, N.J.A., van der Werff, S.J.A., Veer, I.M., Veltman, D.J., Völzke, H., Wagenmakers, M., Walter, H., Walter, M., Wang, C.-Y., Wang, H.-L., Wang, H.-N., Wang, X., Wang, X.-Y., Wang, Y., Wang, Y.-W., Westlye, L.T., Whalley, H.C., Whittle, S., Winter, N.R., Wittfeld, K., Wu, M.-J., Wu, X.-P., Wu, X.-R., Wu, Y.-K., Wu, C.-N., Xie, C.-M., Xie, G.-R., Xie, P., Xu, X.-F., Xue, Z.-P., Yang, T.T., Yang, H., Yang, J., Yu, H., Yu, Y.-Q., Yuan, M.-L., Yuan, Y.-G., Zang, Y.-F., Zarate, C.A., Zhang, A.-X., Zhang, K.-R., Zhang, W., Zhao, J.-P., Zhong, W.-Y., Zhu, J.-J., Zunta-Soares, G.B., Zuo, X.-N., Pozzi, E., Schmaal, L.* (2026). Vertex-wise cortical abnormalities in major depressive disorder from 64 cohorts from the DIRECT and ENIGMA MDD consortia. Nature Mental Health, 4(7), 1175–1186.

2. Wang, Z.H., Chen, X., Lu, B., Wang, Y.W., Li, X.Y., Li, H.X., Liao, Y.F., Hu, Z.J., Wu, C.N., Wang, H.L., Gao, Q.L., Liu, H.L., Liu, Y.S., Thompson, P.M., Xavier Castellanos, F., Cao, L.P., Chen, G.M., Chen, J.S., Chen, T., Chen, T.L., Cheng, Y.Q., Chu, Z.S., Cui, X.L., Gong, Q.Y., Guo, W.B., He, C.C., Huang, Q., Ji, X.L., Jia, F.N., Kuang, L., Li, B.J., Li, F., Li, T., Liu, X.Y., Liu, Z.N., Long, Y.C., Lu, J.P., Qiu, J., Shan, X.X., Si, T.M., Sun, P.F., Wang, C.Y., Wang, H.N., Wang, X., Wang, Y., Wu, X.P., Wu, X.R., Wu, Y.K., Xie, C.M., Xie, G.R., Xie, P., Xu, X.F., Xue, Z.P., Yang, H., Yang, J., Yu, H., Yu, Y.Q., Yuan, M.L., Yuan, Y.G., Zhang, A.X., Zhang, K.R., Zhang, W., Zhao, J.P., Zhu, J.J., Yan, C.G.* (2026). Cross-subject decoding of internal mental states using predictive time-series modeling. Science Bulletin, 71(16), 4117–4122.

3. Lu, B., Chen, Y.R., Li, R.X., Zhang, M.K., Yan, S.Z., Chen, G.Q., Wang, J.H., Chai, W.H., Castellanos, F.X., Thompson, P.M., Lu, J.*, Han, Y.*, Yan, C.G.* (2026). Deep learning for AD risk screening and progression prediction. Advanced Science, In Press.

4. Li, X.Y., Lu, B., Chen, X., Wang, Z.H., Wang, Y.W., Liao, Y.F., Hu, Z.J., Wu, C.N., Wang, H.L., Gao, Q.L., Chen, Y.R., Chen, S.C., Wang, X.Y., Liu, H.L., Lin, Z.D., Cao, L.P., Chen, G.M., Chen, J.S., Chen, T., Chen, T.L., Cheng, Y.Q., Chu, Z.S., Cui, X.L., Gong, Q.Y., Guo, W.B., He, C.C., Huang, Q., Ji, X.L., Jia, F.N., Kuang, L., Li, B.J., Li, F., Li, H.X., Li, T., Liu, X.Y., Liu, Y.S., Liu, Z.N., Long, Y.C., Lu, J.P., Qiu, J., Shan, X.X., Si, T.M., Sun, P.F., Wang, C.Y., Wang, H.N., Wang, X., Wang, Y., Wu, X.R., Wu, Y.K., Xie, C.M., Xie, G.R., Xie, P., Xu, X.F., Xue, Z.P., Yang, H., Yang, J., Yu, H., Yu, Y.Q., Yuan, M.L., Yuan, Y.G., Zhang, A.X., Zhang, K.R., Zhang, W., Zhao, J.P., Zhu, J.J., Zuo, X.N., Yan, C.G.*, Wu, X.P.* (2026). Aberrant dynamic functional architecture in major depressive disorder: Vertex-Wise large-sample fMRI analyses reveal network-specific alterations and symptom associations. Translational Psychiatry, 16(1).

5. Hu, Z.J., Jia, F.N., Liu, Y.S., Yan, C.G.*, Chen, X.* (2026). Characterizing gradients of functional connectome underpinning rumination and their alteration in depression. Translational Psychiatry, 16(1).

6. Chen, X., Lu, B., Wang, Y.W., Li, X.Y., Wang, Z.H., Li, H.X., Liao, Y.F., Blumberger, D.M., Castellanos, F.X., Garza-Villarreal, E.A., Cao, L.P., Chen, G.M., Chen, J.S., Chen, T., Chen, T.L., Chen, Y.R., Cheng, Y.Q., Chu, Z.S., Cui, S.X., Cui, X.L., Deng, Z.Y., Gao, Q.L., Gong, Q.Y., Guo, W.B., He, C.C., Hu, Z.J., Huang, Q., Ji, X.L., Jia, F.N., Kuang, L., Li, B.J., Li, F., Li, T., Li, X., Lian, T., Liu, X.Y., Liu, Y.S., Liu, Z.N., Long, Y.C., Lu, J.P., Qiu, J., Shan, X.X., Si, T.M., Sun, P.F., Wang, C.Y., Wang, H.L., Wang, X., Wang, Y., Wu, C.N., Wu, X.P., Wu, X.R., Wu, Y.K., Xie, C.M., Xie, G.R., Xie, P., Xu, X.F., Xue, Z.P., Yang, H., Yang, J., Yu, H., Yu, Y.Q., Yuan, M.L., Yuan, Y.G., Zang, Y.F., Zhang, A.X., Zhang, K.R., Zhang, W., Zhang, Z.J., Zhao, J.P., Zhu, J.J., Zuo, X.N., Wang, H.N., Yan, C.G.* (2025). Subgenual anterior cingulate cortex functional connectivity abnormalities in depression: insights from brain imaging big data and precision-guided personalized intervention via transcranial magnetic stimulation. Science Bulletin, 70(16), 2676-2690.

7. Xi, C., Lu, B., Guo, X., Qin, Z., Yan, C.*, Hu, S.* (2025). Characteristics of brain network connectome and connectome-based efficacy predictive model in bipolar depression. Molecular Psychiatry, doi:10.1038/s41380-025-03099-6.

8. Gao, Q.L., Chen, X., Castellanos, F.X., Lu, B.*, Yan, C.G.* (2025) Towards closed-loop precision psychiatry: integrating MRI biomarkers for individualized care of major depressive disorder. Psychoradiology, 5, kkaf024.

9. Chen, X., Jia, F.N., Liu, F.Y., Liu, Y.S., Liu, X.*, Yan, C.G.* (2025) Shared but distinct functional connectome profiles underlying rumination in depressed and healthy individuals.  BMC Psychiatry, 26(1), 92.

10. Hu, X.M.*, Ma, H.Q., Tian, Y.Q., Hu, Y.H., Chen, S.X., Castellanos F.X., Peng, K.P., Yan, C.G.* (2025). The neural basis of dialectical thinking: recent advances and future prospects. Reviews in the Neurosciences, 36(6), 661-676.

11. Han, G.Q., Kat, S.C., Wang, H., Yang, Y.L., Ma, Z.H., Yin, T.N., Sun, Y.J., Tang, X.Z., Gong, X.Y., Wang, D., Li, L., Sun, B.X., Zhao, L.Y., Su, X., Chen, J.L., Chen, X., Wang, H.L., Li, X.Y., Liu, H.L., Li, X.*, Yan, C.G.*, Liu, J.* (2025). Alterations in whole-brain white matter fiber networks in individuals with autism spectrum disorder after social skills training. Brain Research Bulletin, 229, 111466.

12. Yan, C.-G.*, Wang, X.-D., Lu, B., Deng, Z.-Y., Gao, Q.-L. (2024). DPABINet: A toolbox for brain network and graph theoretical analyses. Science Bulletin, 69(11), 1628-1631.

13. Lu, B., Chen, X., Castellanos, F.X., Thompson, P.M., Zuo, X.-N., Zang, Y.-F., Yan, C.-G.*. (2024). The power of many brains: Catalyzing neuropsychiatric discovery through open neuroimaging data and large-scale collaboration. Science Bulletin, 69(10), 1536-1555.

14. Li, H.X., Chen, X., Wang, Z.H., Lu, B., Liao, Y.F., Li, X.Y., Wang, Y.W., Liu, Y.S., Castellanos, F.X., Yan, C.G.* (2024). Characterizing human spontaneous thoughts and its application in major depressive disorder. Journal of Affective Disorders, 365, 276-284

15. Lu, B., Li, X., Gao, X.-P., Chen, J., Liu, Y., Lu, J.-P., Kat, S.-C., Ma, Z.-H., Zhao, L.-Y., Yin, T.-N., Su, X., Meng, F.-C., Zhang, Y.-R., Wu, S.-X., Yan, W.-J., Du, Y.-S., Luo, X.-R., Liu, J., Yan, C.-G.* (2024). Same same but different: Neuroanatomic and connectomic profiles of early-onset schizophrenia and autism spectrum disorder. Medicine Plus, 1(1), 100007.

16. Dang, Y., Lu, B., Vanderwal, T., Castellanos, F.X., Yan, C.G.* (2024). Early-treatment cerebral blood flow change as a predictive biomarker of antidepressant treatment response: evidence from the EMBARC clinical trial. Psychological Medicine, 1-10.

17. Chen, X., Fan, Z., Chen, D., Wang, L.*, Chen, L.*, Yan, C.-G.* (2024). Intracranial neurophysiological correlates of rumination: A cross-sectional observational study. Medicine Plus, 100048.

18. Hu, X.*, Yan, C.-G.* (2024). Current status and future challenges in brain imaging: Insights from leading experts. Medicine Plus, 100049.

19. Wang, Y.-W., Wang, H.-L., Yan, C.-G.* (2024). DPABI Harmonization: A Toolbox for Harmonizing Multi-site Brain Imaging for Big-data Era. Imaging Neuroscience, imag_a_00388.

20. Wu, Y.K., Su, Y.A., Li, L., Zhu, L.L., Li, K., Li, J.T., Mitchell, P.B., Yan, C.G.*, Si, T.M.*  (2024). Brain functional changes across mood states in bipolar disorder: from a large-scale network perspective. Psychological Medicine, 54(4), 763-774.

21. Sun, Q., Xiong, N.*, Wang, Y., Xia, Z., Chen, J., Yan, C.G.*, Sun, H.* (2024). Shared and distinct aberrations in frontal-striatal system functional patterns among patients with irritable bowel syndrome and major depressive disorder. Journal of Affective Disorders, 362, 391-403.

22. Shao, K., Chen, X., Yu, X., Yang, J., Wei, M., Zhang, M., Li, R., Wang, X., Wei, Y., Yan, C.G.*, Han, Y.* (2024). Functional connectivity changes in two cortico-hippocampal networks of Alzheimer's disease continuum and their correlations with cognition: A SILCODE study. Journal of Alzheimer's Disease, 13872877241291236.

23. Wang, Y.W., Chen, X., Yan, C.G.* (2023). Comprehensive evaluation of harmonization on functional brain imaging for multisite data-fusion. Neuroimage, 120089.

24. Li, H.X., Lu, B., Wang, Y.W., Li, X.Y., Chen, X., Yan, C.G.* (2023). Neural representations of self-Generated thought during think-aloud fMRI. Neuroimage, 119775.

25. Wang, J., Zhang, W., Xu, H., Ellenbroek, B., Dai, J., Wang, L., Yan, C.G.*, Wang, W.W._* (2023). The Changes of Histone Methylation Induced by Adolescent Social Stress Regulate the Resting-State Activity in mPFC. Research, 6, 0264.

26. Lu, B., Li, H.-X., Chang, Z.-K., Li, L., Chen, N.-X., Zhu, Z.-C., Zhou, H.-X., Li, X.-Y., Wang, Y.-W., Cui, S.-X., Deng, Z.-Y., Fan, Z., Yang, H., Chen, X., Thompson, P.M., Castellanos, F.X., Yan, C.G.* (2022). A practical Alzheimer’s disease classifier via brain imaging-based deep learning on 85,721 samples. Journal of Big Data, 9(1), 101.

27. Chen, X., Lu, B., Li, H.-X., Li, X.-Y., Wang, Y.-W., Castellanos, F.X., Cao, L.-P., Chen, N.-X., Chen, W., Cheng, Y.-Q., Cui, S.-X., Deng, Z.-Y., Fang, Y.-R., Gong, Q.-Y., Guo, W.-B., Hu, Z.-J.-Y., Kuang, L., Li, B.-J., Li, L., Li, T., Lian, T., Liao, Y.-F., Liu, Y.-S., Liu, Z.-N., Lu, J.-P., Luo, Q.-H., Meng, H.-Q., Peng, D.-H., Qiu, J., Shen, Y.-D., Si, T.-M., Tang, Y.-Q., Wang, C.-Y., Wang, F., Wang, H.-N., Wang, K., Wang, X., Wang, Y., Wang, Z.-H., Wu, X.-P., Xie, C.-M., Xie, G.-R., Xie, P., Xu, X.-F., Yang, H., Yang, J., Yao, S.-Q., Yu, Y.-Q., Yuan, Y.-G., Zhang, K.-R., Zhang, W., Zhang, Z.-J., Zhu, J.-J., Zuo, X.-N., Zhao, J.-P., Zang, Y.-F., consortium, t.D., Yan, C.G.* (2022). The DIRECT consortium and the REST-meta-MDD project: towards neuroimaging biomarkers of major depressive disorder. Psychoradiology, 2(1), 32-42.

28. Li, H.X., Lu, B., Chen, X., Li, X.Y., Castellanos, F.X., Yan, C.G.* (2022). Exploring self-generated thoughts in a resting state with natural language processing. Behavior Research Methods, 54(4):1725-1743.

29. Li, X.Y., Chen, X.,* Yan, C.G.* (2022). Altered cerebral activities and functional connectivity in depression: a systematic review of fMRI studies. Quantitative Biology, 10(4), 366-380.

30. Ma, Z.H., Lu, B., Li, X., Mei, T., Guo, Y.Q., Yang, L., Wang, H., Tang, X.Z., Ji, Z.Z., Liu, J.R., Xu, L.Z., Yang, Y.L., Cao, Q.J.*, Yan, C.G.*, Liu, J.* (2022). Atypicalities in the developmental trajectory of cortico-striatal functional connectivity in autism spectrum disorder. Autism, 26(5):1108-1122.

31. Mei, T., Ma, Z.H., Guo, Y.Q., Lu, B., Cao, Q.J., Chen, X., Yang, L., Wang, H., Tang, X.Z., Ji, Z.Z., Liu, J.R., Xu, L.Z., Wang, L.Q., Yang, Y.L., Li, X.*, Yan, C.G.*, Liu, J.* (2022). Frequency-specific age-related changes in the amplitude of spontaneous fluctuations in autism. Translational Pediatrics, 11(3), 349-358.

32. Yang, H., Chen, X., Chen, Z.B., Li, L., Li, X.Y., Castellanos, F.X., Bai, T.J., Bo, Q.J., Cao, J., Chang, Z.K., Chen, G.M., Chen, N.X., Chen, W., Cheng, C., Cheng, Y.Q., Cui, X.L., Duan, J., Fang, Y., Gong, Q.Y., Guo, W.B., Hou, Z.H., Hu, L., Kuang, L., Li, F., Li, H.X., Li, K.M., Li, T., Liu, Y.S., Liu, Z.N., Long, Y.C., Lu, B., Luo, Q.H., Meng, H.Q., Peng, D., Qiu, H.T., Qiu, J., Shen, Y.D., Shi, Y.S., Si, T.M., Tang, Y.Q., Wang, C.Y., Wang, F., Wang, K., Wang, L., Wang, X., Wang, Y., Wang, Y.W., Wu, X.P., Wu, X.R., Xie, C.M., Xie, G.R., Xie, H.Y., Xie, P., Xu, X.F., Yang, J., Yao, J.S., Yao, S.Q., Yin, Y.Y., Yuan, Y.G., Zang, Y.F., Zhang, A.X., Zhang, H., Zhang, K.R., Zhang, L., Zhang, Z.J., Zhao, J.P., Zhou, R., Zhou, Y.T., Zhu, J.J., Zhu, Z.C., Zou, C.J., Zuo, X.N., Yan, C.G.* (2021). Disrupted intrinsic functional brain topology in patients with major depressive disorder. Molecular Psychiatry, 26(12):7363-7371. (ESI Top 1% Highly Cited)

33. Yan, C.-G.*, Wang, X.-D., Lu, B. (2021). DPABISurf: data processing & analysis for brain imaging on surface. Science Bulletin, 66 (24), 2453-2455.

34. Chen, X., Yan, C.-G.* (2021). Hypostability in the default mode network and hyperstability in the frontoparietal control network of dynamic functional architecture during rumination. Neuroimage, 241, 118427.

35. Li, L., Su, Y.A., Wu, Y.K., Castellanos, F.X., Li, K., Li, J.T., Si, T.M.*, Yan, C.G.* (2021). Eight-week antidepressant treatment reduces functional connectivity in first-episode drug-naïve patients with major depressive disorder. Human Brain Mapping, 42(8):2593-2605.

36. Chen, N.-X., Fu, G., Chen, X., Li, L., Milham, M.P.*, Lui, S.*, Yan, C.-G.* (2021). The contributions of brain structural and functional variance in predicting age, sex and treatment. Neuroimage: Reports, 1(2), 100024.

37. Chen, X., Chen, N.X., Shen, Y.Q., Li, H.X., Li, L., Lu, B., Zhu, Z.C., Fan, Z., Yan, C.G.* (2020) The subsystem mechanism of default mode network underlying rumination: a reproducible neuroimaging study. Neuroimage, 221, 117185.

38. Li, L., Lu, B., Yan, C.G.* (2020) Stability of dynamic functional architecture differs between brain networks and states. Neuroimage, 216, 116230.

39. Zhou, H.-X., Chen, X., Shen, Y.-Q., Li, L., Chen, N.-X., Zhu, Z.-C., Castellanos, F.X., Yan, C.-G.* (2020) Rumination and the default mode network: Meta-analysis of brain imaging studies and implications for depression. Neuroimage, 206, 116287. (ESI Top 1% Highly Cited)

40. Shen, Y.-Q., Zhou, H.-X., Chen, X., Castellanos, F.X., Yan, C.-G.* (2020). Meditation effect in changing functional integrations across large-scale brain networks: Preliminary evidence from a meta-analysis of seed-based functional connectivity. Journal of Pacific Rim Psychology, 14, e10.

41. Liang, S., Deng, W., Li, X., Greenshaw, A.J., Wang, Q., Li, M., Ma, X., Bai, T.J., Bo, Q.J., Cao, J., Chen, G.M., Chen, W., Cheng, C., Cheng, Y.Q., Cui, X.L., Duan, J., Fang, Y.R., Gong, Q.Y., Guo, W.B., Hou, Z.H., Hu, L., Kuang, L., Li, F., Li, K.M., Liu, Y.S., Liu, Z.N., Long, Y.C., Luo, Q.H., Meng, H.Q., Peng, D.H., Qiu, H.T., Qiu, J., Shen, Y.D., Shi, Y.S., Si, T.M., Wang, C.Y., Wang, F., Wang, K., Wang, L., Wang, X., Wang, Y., Wu, X.P., Wu, X.R., Xie, C.M., Xie, G.R., Xie, H.Y., Xie, P., Xu, X.F., Yang, H., Yang, J., Yu, H., Yao, J.S., Yao, S.Q., Yin, Y.Y., Yuan, Y.G., Zang, Y.F., Zhang, A.X., Zhang, H., Zhang, K.R., Zhang, Z.J., Zhao, J.P., Zhou, R.B., Zhou, Y.T., Zou, C.J., Zuo, X.N., Yan, C.G.*, Li, T.* (2020). Biotypes of major depressive disorder: Neuroimaging evidence from resting-state default mode network patterns. NeuroImage: Clinical, 28, 102514.

42. Yan, C.-G.*, Chen, X., Li, L., Castellanos, F.X., Bai, T.-J., Bo, Q.-J., Cao, J., Chen, G.-M., Chen, N.-X., Chen, W., Cheng, C., Cheng, Y.-Q., Cui, X.-L., Duan, J., Fang, Y.-R., Gong, Q.-Y., Guo, W.-B., Hou, Z.-H., Hu, L., Kuang, L., Li, F., Li, K.-M., Li, T., Liu, Y.-S., Liu, Z.-N., Long, Y.-C., Luo, Q.-H., Meng, H.-Q., Peng, D.-H., Qiu, H.-T., Qiu, J., Shen, Y.-D., Shi, Y.-S., Wang, C.-Y., Wang, F., Wang, K., Wang, L., Wang, X., Wang, Y., Wu, X.-P., Wu, X.-R., Xie, C.-M., Xie, G.-R., Xie, H.-Y., Xie, P., Xu, X.-F., Yang, H., Yang, J., Yao, J.-S., Yao, S.-Q., Yin, Y.-Y., Yuan, Y.-G., Zhang, A.-X., Zhang, H., Zhang, K.-R., Zhang, L., Zhang, Z.-J., Zhou, R.-B., Zhou, Y.-T., Zhu, J.-J., Zou, C.-J., Si, T.-M., Zuo, X.-N., Zhao, J.-P.*, Zang, Y.-F.* (2019) Reduced default mode network functional connectivity in patients with recurrent major depressive disorder. Proceedings of the National Academy of Sciences of the United States of America, 116(18), 9078-9083. (ESI Top 0.1% Highly Cited)

43. Fan, Z., Chen, X., Qi, Z.X., Li, L., Lu, B., Jiang, C.L., Zhu, R.Q., Yan, C.G.*, Chen, L.*, (2019) Physiological significance of R-fMRI indices: Can functional metrics differentiate structural lesions (brain tumors)? Neuroimage: Clinical, 22: 101741.

44. An, J., Li, L., Wang, L., Su, Y.A., Wang, Y., Li, K., Zeng, Y., Kong, Q., Yan, C.G.*, Si, T.M.* (2019) Striatal functional connectivity alterations after two-week antidepressant treatment associated to enduring clinical improvement in major depressive disorder. Frontiers in Psychiatry, 10, 884.

45. Chen X, Lu B, Yan CG^* (2018) Reproducibility of R-fMRI metrics on the impact of different strategies for multiple comparison correction and sample sizes. Human Brain Mapping. 39: 300-318. (ESI Top 1% Highly Cited)

46. Kong QM, Qiao H, Liu CZ, Zhang P, Li K, Wang L, Li JT, Su YA, Li KQ, Yan CG*, Mitchell, PB, Si TM* (2018) Aberrant intrinsic functional connectivity in thalamo-cortical networks in major depressive disorder. CNS Neuroscience & Therapeutics. 24(11): 1063-1072.

47. Li Q, Wang L, Li XY, Chen X, Lu B, Cheng L, Yan CG*, Xu Y* (2018) Total salvianolic acid balances brain functional network topology in rat hippocampi overexpressing miR-30e. Frontiers in Neuroscience. 12: 448.

48. Yan CG^*, Yang Z, Colcombe S, Zuo XN, Milham MP (2017) Concordance among indices of intrinsic brain function: insights from inter-individual variation and temporal dynamics. Science Bulletin. 62: 1572-1584.

49. Yan CG^#, Rincon-Cortes M^#, Raineki C, Sarro E, Colcombe S, Guilfoyle DN, Yang Z, Gerum S, Biswal BB, Milham MP, Sullivan RM, Castellanos FX (2017) Aberrant development of intrinsic brain activity in a rat model of caregiver maltreatment of offspring. Translational Psychiatry. 7: e100.

50. Wang L, Kong QM, Li K, Li XN, Zeng YW, Chen C, Qian Y, Feng SJ, Li JT, Su YA, Correll CU, Mitchell PB, Yan CG^*, Zhang DR, Si TM^* (2017) Altered intrinsic functional brain architecture in female patients with bulimia nervosa. Journal of Psychiatry & Neuroscience. 42: 414-423.

51. Yan CG^*, Wang XD, Zuo XN, Zang YF (2016) DPABI: Data processing & analysis for (resting-state) brain imaging. Neuroinformatics. 14: 339-351. (ESI Top 0.01% Highly Cited)

52. Yan CG^*, Li Q, Gao L (2015) PRN: a preprint service for catalyzing R-fMRI and neuroscience related studies. F1000Research. 3: 313.

53. Qiu TM^#, Yan CG^#, Tang WJ, Wu JS, Zhuang DX, Yao CJ, Lu JF, Zhu FP, Mao Y, Zhou LF (2014) Localizing hand motor area using resting-state fMRI: validated with direct cortical stimulation. Acta Neurochir. 156, 2295-2302.

54. Yan CG, Cheung B, Kelly C, Colcombe S, Craddock RC, Di Martino A, Li Q, Zuo XN, Castellanos FX, Milham MP (2013) A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics. Neuroimage. 76:183-201.

55. Yan CG, Craddock RC, Zuo XN, Zang YF, Milham MP (2013) Standardizing the intrinsic brain: towards robust measurement of inter-individual variation in 1000 functional connectomes. Neuroimage. 80: 246-262.

56. Yan CG^*, Craddock RC, He Y, Milham MP^* (2013) Addressing head motion dependencies for small-world topologies in functional connectomics. Frontiers in Human Neuroscience. 7: 910.

57. Dai ZJ^#, Yan CG^#, Wang ZQ, Wang JH, Xia MR, Li KC, He Y (2012) Discriminative analysis of early Alzheimer’s disease using multi-modal imaging and multi-level characterization with multi-classifier (M3). Neuroimage. 59: 2187-2195.

58. Yan CG, Gong GL, Wang JH, Wang DY, Liu DQ, Zhu CZ, Chen ZJ, Evans A, Zang YF, He Y (2011) Sex- and brain size-related small-world structural cortical networks in young adults: a DTI tractography study. Cerebral Cortex. 21: 449-458.

59. Yan CG and He Y. (2011) Driving and driven architectures of directed small-world human brain functional networks. PLoS ONE. 6(8): e23460.

60. Wang ZQ^#, Yan CG^#, Zhao C, Qi ZG, Zhou WD, Lu J, He Y, Li KC (2011) Spatial patterns of intrinsic brain activity in mild cognitive impairment and Alzheimer’s disease: A resting-state functional MRI study. Human Brain Mapping. 32: 1720-1740. (From the cover)

61. Yan CG^* and Zang YF^* (2010) DPARSF: a MATLAB toolbox for "pipeline" data analysis of resting-state fMRI. Frontiers in Systems Neuroscience. 4(13).

62. Yan CG, Liu DQ, He Y, Zou QH, Zhu CZ, Zuo XN, Long XY, Zang YF (2009) Spontaneous brain activity in the default mode network is sensitive to different resting-state conditions with limited cognitive load. PLoS ONE. 4(5): e5743.

63. 严超赣^*，李雪莹，鲁彬 (2020) 功能磁共振脑影像学. 科学观察. 15, 6.

64. 鲁彬，陈骁，李乐，沈杨千，陈宁轩，梅婷，周会霞，刘靖，严超赣^* (2018) 孤独症脑自发活动动态性及其整合的异常机制. 科学通报. 63(15): 1452-1463

65. 严超赣^* (2018) 大数据时代的静息态功能磁共振成像——走向精神疾病诊疗应用. 中华精神科杂志. 51(4): 224-227.

(^*Corresponding author  ^#Equal contribution)

1. 严超赣, 鲁彬. 基于组水平差异统计图的抑郁症TMS个体化靶点定位方法及系统: 20231 05253477. 授权年份: 2024

2. 严超赣, 鲁彬. 基于组水平平均统计图的抑郁症TMS个体化靶点定位方法及系统: 20231 05265046. 授权年份: 2024

3. 严超赣, 鲁彬. 一种基于脑成像大数据深度学习的阿尔兹海默症分类器: 2020108206690. 授权年份: 2023

4. 严超赣、鲁彬. 一种基于脑成像大数据深度学习的性别分类器: 2020108214451. 授权年份: 2023

5. 严超赣、李乐、鲁彬. 一种脑动态功能模式稳定性计算方法: 2019106315652. 授权年份: 2023

1. DPABI - A toolbox for Data Processing & Analysis of Brain Imaging (脑影像数据处理与分析工具箱)

2. DPABISurf - A Surface-Based Resting-State fMRI Data Analysis Toolbox (基于皮层的静息态功能磁共振数据分析工具箱)

3. DPABINet - A toolbox for Brain Network and Graph Theoretical Analyses (脑网络分析工具箱)

4. DPABIFiber - A Fiber Tractography and Structural Connectivity Analysis Toolbox (脑纤维和结构连接数据分析工具箱)

5. DPARSF - Data Processing Assistant for Resting-State fMRI (静息态功能磁共振数据处理助手)

6. BrainImageNet - 脑性别与阿尔茨海默病风险在线预测网站

7. The R-fMRI Network (RFMRI.ORG) - 静息态功能磁共振成像研究服务网络

8. CEST (Cognitive Experiments Standard Toolbox) - 认知实验标准工具箱

1. 脑的认知机制与行为

2. 脑影像数据分析

3. 认知脑成像技术

4. 认知心理学

5. 认知心理学进阶慕课

6. 心理统计慕课

7. 磁共振成像技术及其数据分析慕课

8. DPABI脑成像系列软件数据分析慕课

9. The R-fMRI Course: 静息态功能磁共振在线教程

1.         国家自然科学基金委员会，面上项目，在研，主持。

2.         北京市自然科学基金，京津冀基础研究合作专项项目，在研，主持。

3.         北京市科技委员会，科技新星计划交叉合作项目，已结题，主持。

4.         国家自然科学基金委员会，优秀青年科学基金项目，已结题，主持。

5.         北京市科技委员会，科技新星计划项目，已结题，主持。

6.         中国科学院，人才计划择优支持项目，已结题，主持。

7.         国家自然科学基金委员会，面上项目，已结题，主持。

8.         科技部，国家重点研发计划课题，已结题，主持。

2023                中国科学院优秀党务工作者奖

2021                北京市科学技术奖自然科学奖二等奖 （第一完成人）

2021                国际人脑图谱学会青年科学家奖（国际奖项，每年全球仅有一名获奖者，是自1996年奖项设立以来第一个获奖的中国学者）

2019~2026 斯坦福全球前2%顶尖科学家

2019~2025      爱思唯尔中国高被引学者

2020                中国科学院优秀导师奖

2026-               BMC Medicine编委

2024-               Transcranial Magnetic Stimulation编委

2023-               Imaging Neuroscience执行编辑

2022-               中国心理学会国际学术交流工作委员会副主任

2021-2026       心理科学进展编委

2020-2023       NeuroImage: Reports 副主编

2018-2023       NeuroImage 编委

2018-2022       Journal of Neuroscience Methods 编委

2022-2026       中国心理学会心理学脑成像专业委员会副主任