Chao-Gan Yan, Ph.D.
Professor
Department of Psychological and Cognitive Sciences
Tsinghua University
Weiqing Building, Tsinghua University, Haidian District, Beijing, 100084, China
E-mail: yancg@tsinghua.edu.cn
http://rfmri.org/yan
Bio
Dr. Chao-Gan Yan is a professor in the Department of Psychological and Cognitive Sciences at Tsinghua University. Recognized as an Elsevier Highly Cited Chinese Researcher (2019-2023) and ranked among Stanford’s Top 2% of Scientists globally, he has also received the 2021 Early Career Investigator Award from The Organization for Human Brain Mapping (OHBM) and was the first recipient of the Second Prize of the Natural Science Award of Beijing Municipal Science and Technology Awards. Dr. Yan earned his bachelor's degree from the University of Science and Technology Beijing in 2006 and his Ph.D. from Beijing Normal University in 2011. Afterward, he pursued postdoctoral research in the United States, working as a Research Scientist at the Nathan Kline Institute for Psychiatric Research and as a Research Assistant Professor in the Department of Child and Adolescent Psychiatry at New York University. In 2015, he joined the Institute of Psychology, Chinese Academy of Sciences as a professor. In 2024, he became a tenured professor at Tsinghua University. Dr. Yan's research is at the forefront of brain imaging technology and its applications in precision diagnostics and treatments for depression. His contributions include: 1) Innovating Reliable Brain Imaging Methods: Dr. Yan developed advanced brain imaging computational methods and correction solutions, alongside standardized analysis platforms (DPARSF/DPABI/DPABISurf/DPABIFiber/DPABINet), which have been cited over 6,000 times. He is working toward creating a brain imaging reference model for the Chinese population (RESTING) to detect individualized abnormalities in brain diseases. 2) Addressing Depression Research Challenges: He tackled the high heterogeneity in small-sample brain imaging studies of depression by establishing a large-scale, open collaborative research model. He founded the Depression Imaging REsearch ConsorTium (DIRECT) and identified reliable brain imaging abnormalities in depression patients using multi-center data. He proposed a new hypothesis for default network intervention in depressive rumination and developed a big-data-guided algorithm for individualized transcranial magnetic stimulation (TMS) targeting in depression. His "Mind Flower" project explores new psycho-physical intervention strategies for depression. 3) Developing Think-Aloud fMRI Paradigm: Dr. Yan created the Think-Aloud fMRI research paradigm to study spontaneous brain activity and thought, integrating deep learning models from natural language processing to decode human thought. His goal is to develop a mind-reading paradigm and build large-scale models simulating brain activity and thought (digital immortality). Dr. Yan has published over 100 papers in prestigious international journals such as PNAS, Science Bulletin, and Molecular Psychiatry, with over 50 as the first or corresponding author. His work has garnered more than 22,000 citations and an h-index of 47 (Google Scholar). Five of his first or corresponding author papers have been listed as ESI Highly Cited Papers, with one in the top 0.01%, another in the top 0.1%, and three cited over 1,000 times each. He currently serves as a Handling Editor for Imaging Neuroscience.
Education
Year Degree Field Institution
2006 B.S. Automation University of Science and Technology
Beijing, Beijing, China
2011 Ph.D. Cognitive Neuroscience Beijing Normal University, Beijing, China
Academic Appointments
2011-2015 Research Scientist, The Nathan Kline Institute for Psychiatric Research
2013-2015 Research Assistant Professor, Department of Child and Adolescent Psychiatry, New York University Grossman School of Medicine
2015-2024 Professor, Institute of Psychology, Chinese Academy of Sciences
2024- Professor, Department of Psychological and Cognitive Sciences, Tsinghua University
Research Interests
1. Resting-state fMRI methodology
2. Neuroimaging-based objective diagnosis and precise treatment of depression
3. “Mind Flower” comprehensive psycho-physical intervention program for depression
4. fMRI and deep learning driven “mind reading”
Publications
1. 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.
2. 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.
3. 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
4. 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.
5. 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.
6. 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.
7. Hu, X.*, Yan, C.-G.* (2024). Current status and future challenges in brain imaging: Insights from leading experts. Medicine Plus, 100049.
8. 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. (ESI Top 1% Highly Cited)
9. 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.
10. Teng, Y., Li, H.X., Chen, S.X., Castellanos, F.X., Yan, C.G., Hu, X. (2024). Mapping the Neural Mechanism that Distinguishes between Holistic Thinking and Analytic Thinking. Neuroimage, 120627.
11. Li, X.Y., Yoncheva, Y., Yan, C.G., Castellanos, F.X., St-Onge, M.P. (2024). Chronic mild sleep restriction does not lead to marked neuronal alterations compared with maintained adequate sleep in adults. The Journal of Nutrition, 154(2), 446-454.
12. Dan, X.J., Wang, Y.W., Sun, J.Y., Gao, L.L., Chen, X., Yang, X.Y., Xu, E.H., Ma, J.H., Yan, C.G., Wu, T., Chan, P. (2024). Reorganization of intrinsic functional connectivity in early-stage Parkinson's disease patients with probable REM sleep behavior disorder. npj Parkinson's Disease, 10(1), 5.
13. Zhu, J., Chen, X., Lu, B., Li, X.Y., Wang, Z.H., Cao, L.P., Chen, G.M., Chen, J.S., Chen, T., Chen, T.L., Cheng, Y.Q., Chu, Z.S., Cui, S.X., Cui, X.L., Deng, Z.Y., 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, H.X., Li, T., Lian, T., Liao, Y.F., 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., Wang, Y.W., 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., Yu, H., Yuan, M.L., Yuan, Y.G., Zhang, A.X., Zhao, J.P., Zhang, K.R., Zhang, W., Zhang, Z.J., Yan, C.G., Yu, Y. (2024). Transcriptomic decoding of regional cortical vulnerability to major depressive disorder. Communications Biology, 7(1), 960.
14. Fu, C.H.Y., Antoniades, M., Erus, G., Garcia, J.A., Fan, Y., Arnone, D., Arnott, S.R., Chen, T., Choi, K.S., Fatt, C.C., Frey, B.N., Frokjaer, V.G., Ganz, M., Godlewska, B.R., Hassel, S., Ho, K., McIntosh, A.M., Qin, K., Rotzinger, S., Sacchet, M.D., Savitz, J., Shou, H., Singh, A., Stolicyn, A., Strigo, I., Strother, S.C., Tosun, D., Victor, T.A., Wei, D., Wise, T., Zahn, R., Anderson, I.M., Craighead, W.E., Deakin, J.F.W., Dunlop, B.W., Elliott, R., Gong, Q., Gotlib, I.H., Harmer, C.J., Kennedy, S.H., Knudsen, G.M., Mayberg, H.S., Paulus, M.P., Qiu, J., Trivedi, M.H., Whalley, H.C., Yan, C.-G., Young, A.H., Davatzikos, C. (2024). Neuroanatomical dimensions in medication-free individuals with major depressive disorder and treatment response to SSRI antidepressant medications or placebo. Nature Mental Health, 2(2), 164-176.
15. Li, X., Bianchini Esper, N., Ai, L., Giavasis, S., Jin, H., Feczko, E., Xu, T., Clucas, J., Franco, A., Sólon Heinsfeld, A., Adebimpe, A., Vogelstein, J.T., Yan, C.G., Esteban, O., Poldrack, R.A., Craddock, C., Fair, D., Satterthwaite, T., Kiar, G., Milham, M.P. (2024). Moving beyond processing- and analysis-related variation in resting-state functional brain imaging. Nature Human Behaviour.
16. Wu, Y.K., Su, Y.A., Zhu, L.L., Yan, C.G., Li, J.T., Lin, J.Y., Chen, J., Chen, L., Li, K., Stein, D.J., Si, T.M. (2024). A distinctive subcortical functional connectivity pattern linking negative affect and treatment outcome in major depressive disorder. Translational Psychiatry, 14(1), 136.
17. Jin, X., Zhang, K., Lu, B., Li, X., Yan, C.G., Du, Y., Liu, Y., Lu, J., Luo, X., Gao, X., Liu, J. (2024). Shared atypical spontaneous brain activity pattern in early onset schizophrenia and autism spectrum disorders: evidence from cortical surface-based analysis. European Child & Adolescent Psychiatry, 33(7), 2387-2396.
18. Long, Y., Li, X., Cao, H., Zhang, M., Lu, B., Huang, Y., Liu, M., Xu, M., Liu, Z., Yan, C.G., Sui, J., Ouyang, X., Zhou, X. (2024). Common and distinct functional brain network abnormalities in adolescent, early-middle adult, and late adult major depressive disorders. Psychological Medicine, 54(3), 582-591.
19. Wang, Y.W., Chen, X., Yan, C.G.* (2023). Comprehensive evaluation of harmonization on functional brain imaging for multisite data-fusion. Neuroimage, 120089.
20. 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.
21. 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.
22. Lu, B.*, Yan, C.G.* (2023). Demonstrating quality control procedures for fMRI in DPABI. Frontiers in Neuroscience, 17, 1069639.
23. Jia, F.N., Chen, X., Du, X.D., Tang, Z., Ma, X.Y., Ning, T.T., Zou, S.Y., Zuo, S.F., Li, H.X., Cui, S.X., Deng, Z.Y., Fu, J.L., Fu, X.Q., Huang, Y.X., Li, X.Y., Lian, T., Liao, Y.F., Liu, L.L., Lu, B., Wang, Y., Wang, Y.W., Wang, Z.H., Ye, G., Zhang, X.Z., Zhu, H.L., Quan, C.S., Sun, H.Y., Yan, C.G., Liu, Y.S. (2023). Aberrant degree centrality profiles during rumination in major depressive disorder. Human Brain Mapping, 44(17), 6245-6257.
24. Dai, Y.R., Wu, Y.K., Chen, X., Zeng, Y.W., Li, K., Li, J.T., Su, Y.A., Zhu, L.L., Yan, C.G., Si, T.M. (2023). Eight-week antidepressant treatment changes intrinsic functional brain topology in first-episode drug-naïve patients with major depressive disorder. Journal of Affective Disorders, 329, 225-234.
25. Yu, A.H., Gao, Q.L., Deng, Z.Y., Dang, Y., Yan, C.G., Chen, Z.Z., Li, F., Zhao, S.Y., Liu, Y., Bo, Q.J. (2023). Common and unique alterations of functional connectivity in major depressive disorder and bipolar disorder. Bipolar Disorders, 25(4), 289-300.
26. Jin, X., Zhang, K., Lu, B., Li, X., Yan, C.G., Du, Y., Liu, Y., Lu, J., Luo, X., Gao, X., Liu, J. (2023). Shared atypical spontaneous brain activity pattern in early onset schizophrenia and autism spectrum disorders: evidence from cortical surface-based analysis. European Child & Adolescent Psychiatry.
27. Fan, X.R., Wang, Y.S., Chang, D., Yang, N., Rong, M.J., Zhang, Z., He, Y., Hou, X., Zhou, Q., Gong, Z.Q., Cao, L.Z., Dong, H.M., Nie, J.J., Chen, L.Z., Zhang, Q., Zhang, J.X., Zhang, L., Li, H.J., Bao, M., Chen, A., Chen, J., Chen, X., Ding, J., Dong, X., Du, Y., Feng, C., Feng, T., Fu, X., Ge, L.K., Hong, B., Hu, X., Huang, W., Jiang, C., Li, L., Li, Q., Li, S., Liu, X., Mo, F., Qiu, J., Su, X.Q., Wei, G.X., Wu, Y., Xia, H., Yan, C.G., Yan, Z.X., Yang, X., Zhang, W., Zhao, K., Zhu, L., Zuo, X.N. (2023). A longitudinal resource for population neuroscience of school-age children and adolescents in China. Scientific Data, 10(1), 545.
28. Fu, C.H.Y., Erus, G., Fan, Y., Antoniades, M., Arnone, D., Arnott, S.R., Chen, T., Choi, K.S., Fatt, C.C., Frey, B.N., Frokjaer, V.G., Ganz, M., Garcia, J., Godlewska, B.R., Hassel, S., Ho, K., McIntosh, A.M., Qin, K., Rotzinger, S., Sacchet, M.D., Savitz, J., Shou, H., Singh, A., Stolicyn, A., Strigo, I., Strother, S.C., Tosun, D., Victor, T.A., Wei, D., Wise, T., Woodham, R.D., Zahn, R., Anderson, I.M., Deakin, J.F.W., Dunlop, B.W., Elliott, R., Gong, Q., Gotlib, I.H., Harmer, C.J., Kennedy, S.H., Knudsen, G.M., Mayberg, H.S., Paulus, M.P., Qiu, J., Trivedi, M.H., Whalley, H.C., Yan, C.G., Young, A.H., Davatzikos, C. (2023). AI-based dimensional neuroimaging system for characterizing heterogeneity in brain structure and function in major depressive disorder: COORDINATE-MDD consortium design and rationale. BMC Psychiatry, 23(1), 59.
29. Wang, K., Hu, Y., Yan, C.G., Li, M., Wu, Y., Qiu, J., Zhu, X. (2023). Brain structural abnormalities in adult major depressive disorder revealed by voxel- and source-based morphometry: evidence from the REST-meta-MDD Consortium. Psychological Medicine, 53(8), 3672-3682.
30. Long, Y., Ouyang, X., Yan, C.G., Wu, Z., Huang, X., Pu, W., Cao, H., Liu, Z., Palaniyappan, L. (2023). Evaluating test-retest reliability and sex-/age-related effects on temporal clustering coefficient of dynamic functional brain networks. Human Brain Mapping, 44(6), 2191-2208.
31. 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.
32. 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, 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.
33. 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.
34. 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.
35. 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.
36. 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.
37. Ding, Y.D., 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.R., Gong, Q.Y., 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.H., 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, H., 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.B., Zhou, Y.T., Zhu, J.J., Zhu, Z.C., Zou, C.J., Zuo, X.N., Yan, C.G., Guo, W.B. (2022). Reduced nucleus accumbens functional connectivity in reward network and default mode network in patients with recurrent major depressive disorder. Translational Psychiatry, 12(1), 236.
38. Deng, K., Yue, J.H., Xu, J., Ma, P.P., Chen, X., Li, L., Bai, T.J., Bo, Q.J., Cao, J., Chen, G.M., Chen, N.X., Chen, W., Cheng, C., 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., Si, T.M., 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., 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., Zhou, C., Zuo, X.N., Yan, C.G., Xu, X.F., Cheng, Y.Q. (2022). Impaired robust interhemispheric function integration of depressive brain from REST-meta-MDD database in China. Bipolar Disorders, 24(4):400-411.
39. 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.
40. Yan, C.-G.*, Wang, X.-D., Lu, B. (2021). DPABISurf: Data processing & analysis for brain imaging on surface. Science Bulletin, 66 (24), 2453-2455.
41. 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.
42. 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.
43. 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.
44. Liang, S., Wang, Q., Greenshaw, A.J., Li, X., Deng, W., Ren, H., Zhang, C., Yu, H., Wei, W., Zhang, Y., Li, M., Zhao, L., Du, X., Meng, Y., Ma, X., Yan, C.G., Li, T. (2021). Aberrant triple-network connectivity patterns discriminate biotypes of first-episode medication-naive schizophrenia in two large independent cohorts. Neuropsychopharmacology, 46(8):1502-1509.
45. Ding, Y.D., Yang, R., Yan, C.G., Chen, X., Bai, T.J., Bo, Q.J., Chen, G.M., Chen, N.X., Chen, T.L., Chen, W., Cheng, C., Cheng, Y.Q., Cui, X.L., Duan, J., Fang, Y.R., Gong, Q.Y., Hou, Z.H., Hu, L., Kuang, L., Li, F., 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., Tang, Y., 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., Zang, Y.F., Zhao, J.P., Guo, W.B. (2021). Disrupted hemispheric connectivity specialization in patients with major depressive disorder: Evidence from the REST-meta-MDD Project. Journal of Affective Disorders, 284, 217-228.
46. Liu, P.H., Li, Y., Zhang, A.X., Sun, N., Li, G.Z., Chen, X., Bai, T.J., Bo, Q.J., Chen, G.M., Chen, N.X., Chen, T.L., 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, 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, H., Zhang, L., Zhang, Z.J., Zhou, R.B., Zhou, Y.T., Zhu, J.J., Zou, C.J., Si, T.M., Zuo, X.N., Yan, C.G., Zhang, K.R. (2021). Brain structural alterations in MDD patients with gastrointestinal symptoms: Evidence from the REST-meta-MDD project. Progress in Neuro-Psychopharmacology & Biological Psychiatry, 111, 110386.
47. Yang, Z., Telesford, Q.K., Franco, A.R., Lim, R., Gu, S., Xu, T., Ai, L., Castellanos, F.X., Yan, C.G., Colcombe, S., Milham, M.P. (2021). Measurement reliability for individual differences in multilayer network dynamics: Cautions and considerations. Neuroimage, 225, 117489.
48. Jia, X.-Z., Zhao, N., Dong, H.-M., Sun, J.-W., Barton, M., Burciu, R., Carrière, N., Cerasa, A., Chen, B.-Y., Chen, J., Coombes, S., Defebvre, L., Delmaire, C., Dujardin, K., Esposito, F., Fan, G.-G., Di Nardo, F., Feng, Y.-X., Fling, B.W., Garg, S., Gilat, M., Gorges, M., Ho, S.-L., Horak, F.B., Hu, X., Hu, X.-F., Huang, B., Huang, P.-Y., Jia, Z.-J., Jones, C., Kassubek, J., Krajcovicova, L., Kurani, A., Li, J., Li, Q., Liu, A.-P., Liu, B., Liu, H., Liu, W.-G., Lopes, R., Lou, Y.-T., Luo, W., Madhyastha, T., Mao, N.-N., McAlonan, G., McKeown, M.J., Pang, S., Quattrone, A., Rektorova, I., Sarica, A., Shang, H.-F., Shine, J.M., Shukla, P., Slavicek, T., Song, X.-P., Tedeschi, G., Tessitore, A., Vaillancourt, D., Wang, J., Wang, J., Jane Wang, Z., Wei, L.-Q., Wu, X., Xu, X.-J., Yan, L., Yang, J., Yang, W.-Q., Yao, N.-L., Zhang, D.-L., Zhang, J.-Q., Zhang, M.-M., Zhang, Y.-L., Zhou, C.-H., Yan, C.-G., Zuo, X.-N., Hallett, M., Wu, T., Zang, Y.-F. (2021). Small P values may not yield robust findings: An example using REST-meta-PD. Science Bulletin, 66(21), 2148-2152.
49. 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.
50. Li, L., Lu, B., Yan, C.G.* (2020) Stability of dynamic functional architecture differs between brain networks and states. Neuroimage, 216, 116230.
51. 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)
52. 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.
53. 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.
54. Long, Y., Cao, H., Yan, C.G., Chen, X., Li, L., Castellanos, F.X., Bai, T., Bo, Q., Chen, G., Chen, N., Chen, W., Cheng, C., Cheng, Y., Cui, X., Duan, J., Fang, Y., Gong, Q., Guo, W., Hou, Z., Hu, L., Kuang, L., Li, F., Li, K., Li, T., Liu, Y., Luo, Q., Meng, H., Peng, D., Qiu, H., Qiu, J., Shen, Y., Shi, Y., Si, T., Wang, C., Wang, F., Wang, K., Wang, L., Wang, X., Wang, Y., Wu, X., Wu, X., Xie, C., Xie, G., Xie, H., Xie, P., Xu, X., Yang, H., Yang, J., Yao, J., Yao, S., Yin, Y., Yuan, Y., Zhang, A., Zhang, H., Zhang, K., Zhang, L., Zhang, Z., Zhou, R., Zhou, Y., Zhu, J., Zou, C., Zang, Y., Zhao, J., Kin-Yuen Chan, C., Pu, W., Liu, Z. (2020). Altered resting-state dynamic functional brain networks in major depressive disorder: Findings from the REST-meta-MDD consortium. NeuroImage: Clinical, 26, 102163.
55. Miao, Q., Pu, C., Wang, Z., Yan, C.G., Shi, C., Cao, Q., Wang, X., Cheng, Z., Han, X., Yang, L., Lai, Y., Yuan, Y., Ma, H., Li, K., Hong, N., Yu, X. (2020). Influence of more than 5 years of continuous exposure to antipsychotics on cerebral functional connectivity of chronic schizophrenia. The Canadian Journal of Psychiatry, 65(7), 463-472.
56. 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)
57. 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.
58. 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.
59. Jia, X.Z., Wang, J., Sun, H.Y., Zhang, H., Liao, W., Wang, Z., Yan, C.G., Song, X.W., Zang, Y.F., 2019. RESTplus: an improved toolkit for resting-state functional magnetic resonance imaging data processing. Science Bulletin 64, 953-954.
60. 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)
61. 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.
62. 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.
63. 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.
64. 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.
65. 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.
66. Colibazzi T, Yang Z, Horga G, Yan CG, Corcoran CM, Klahr K, Brucato G, Girgis R, Abi-Dargham A, Milham MP, Peterson BS (2017) Aberrant temporal connectivity in persons at clinical high risk for psychosis. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging. 2: 696-705.
67. Wei YB, Liao XH, Yan CG, He Y, Xia MR (2017) Identifying topological motif patterns of human brain functional networks. Human Brain Mapping. 38: 2734-2750.
68. Zhang YW, Zhao ZL, Qi ZG, Hu Y, Wang YS, Sheng C, Sun Y, Wang XN, Jiang LL, Yan CG, Li KC, Li HJ, Zuo XN (2017) Local-to-remote cortical connectivity in amnestic mild cognitive impairment. Neurobiology of Aging. 56: 138-149.
69. Zhang JT, Ma SS, Yan CG, Zhang S, Liu L, Wang LJ, Liu B, Yao YW, Yang YH, Fang XY (2017) Altered coupling of default-mode, executive-control and salience networks in Internet Gaming Disorder. European Psychiatry. 45: 114-120.
70. 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)
71. Shang CY, Yan CG, Lin HY, Tseng WY, Castellanos FX, Gau SS (2016) Differential effects of methylphenidate and atomoxetine on intrinsic brain activity in children with attention deficit hyperactivity disorder. Psychological Medicine. 46(15): 3173-3185.
72. Opitz A, Falchier A, Yan CG, Yeagle EM, Linn GS, Megevand P, Thielscher A, Deborah AR, Milham MP, Mehta AD, Schroeder CE (2016) Spatiotemporal structure of intracranial electric fields induced by transcranial electric stimulation in humans and nonhuman primates. Scientific Reports. 6: 31236.
73. Yan CG*, Li Q, Gao L (2015) PRN: a preprint service for catalyzing R-fMRI and neuroscience related studies. F1000Research. 3: 313.
74. Dai ZJ, Yan CG, Li KC, Wang ZQ, Wang JH, Cao M, Lin QX, Shu N, Xia MR, Bi YC, He Y (2015) Identifying and mapping connectivity patterns of brain network hubs in Alzheimer's Disease. Cerebral Cortex. 25: 3723-3742.
75. Wang J, Yang N, Liao W, Zhang H, Yan CG, Zang YF, Zuo XN (2015) Dorsal anterior cingulate cortex in typically developing children: Laterality analysis. Developmental Cognitive Neuroscience. 15: 117-129.
76. Yang Z, Jutagir DR, Koyama MS, Craddock RC, Yan CG, Shehzad Z, Castellanos FX, Di Martino A, Milham MP (2015) Intrinsic brain indices of verbal working memory capacity in children and adolescents. Developmental Cognitive Neuroscience. 15, 67-82.
77. Somandepalli K, Kelly C, Reiss PT, Zuo XN, Craddock RC, Yan CG, Petkova E, Castellanos FX, Milham MP, Di Martino A (2015) Short-term test-retest reliability of resting state fMRI metrics in children with and without Attention-Deficit/Hyperactivity Disorder. Developmental Cognitive Neuroscience. 15: 83-93.
78. Zhang JT, Ma SS, Yip SW, Wang LJ, Chen C, Yan CG, Liu L, Liu B, Deng LY, Liu QX, Fang XY (2015) Decreased functional connectivity between ventral tegmental area and nucleus accumbens in Internet Gaming Disorder: Evidence from resting state functional magnetic resonance imaging. Behavioral and Brain Functions. 11: 37.
79. 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.
80. Di Martino A, Yan CG#, Li Q#, Denio E, Castellanos FX, Alaerts K, Anderson JS, Assaf M, Bookheimer SY, Dapretto M, Deen B, Delmonte S, Dinstein I, Ertl-Wagner B, Fair DA, Gallagher L, Kennedy DP, Keown CL, Keysers C, Lainhart JE, Lord C, Luna B, Menon V, Minshew N, Monk CS, Mueller S, Muller RA, Nebel MB, Nigg JT, O’Hearn K, Pelphrey KA, Peltier SJ, Rudie JD, Sunaert S, Thioux M, Tyszka JM, Uddin LQ, Verhoeven JS, Wenderoth N, Wiggins JL, Mostofsky SH, Milham MP (2014) The Autism Brain Imaging Data Exchange: Towards large-scale evaluation of the intrinsic brain architecture in Autism. Molecular Psychiatry. 19: 659-667.
81. Yang Z, Craddock RC, Margulies D, Yan CG, Milham MP (2014) Common intrinsic connectivity states among posteromedial cortex subdivisions: Insights from analysis of temporal dynamics. Neuroimage. 93:124-137.
82. 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.
83. 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.
84. 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.
85. Craddock RC, Jbabdi S#, Yan CG#, Vogelstein J, Castellanos FX, Di Martino A, Kelly C, Heberlein K, Colcombe S, Milham MP (2013) Imaging human connectomes at the macroscale. Nature Methods. 10: 524-539.
86. Li YY, Booth JR, Peng DL, Zang YF, Li JH, Yan CG, Ding GS (2013) Altered intra- and inter-regional synchronization of superior temporal cortex in deaf people. Cerebral Cortex. 23: 1988-1996.
87. 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.
88. Zang ZX, Yan CG, Dong ZY, Huang J, Zang YF (2012) Granger causality analysis implementation on MATLAB: A graphic user interface toolkit for fMRI data processing. Journal of Neuroscience Methods. 203: 418-426.
89. Dong ZY, Liu DQ, Wang J, Qing Z, Zang ZX, Yan CG, Zang YF (2012) Low-frequency fluctuation in continuous real-time feedback of finger force: A new paradigm for sustained attention. Neuroscience Bulletin. 28: 456-467.
90. Liang X, Wang JH, Yan CG, Shu N, Xu K, Gong GL, He Y (2012) Effects of different correlation metrics and preprocessing factors on small-world brain functional networks: A resting-state functional MRI study. PLoS ONE. 7(3): e32766.
91. Li SF, Zou QH, Li J, Li J, Wang DY, Yan CG, Dong Q, Zang YF (2012) 5-HTTLPR polymorphism impacts task-evoked and resting-state activities of the amygdala in Han Chinese. PLoS ONE. 7: e36513.
92. Wang DY, Han XJ, Li SF, Liu DQ, Yan CG, Zuo XN, Zhu CZ, He Y, Kiviniemi V, Zang YF (2012) Effects of apolipoprotein e genotype on the off-line memory consolidation. PLoS ONE. 7: e51617.
93. Xi Q, Zhao XH, Wang PJ, Guo QH, Yan CG, He Y (2012) Functional MRI study of mild Alzheimer's disease using amplitude of low frequency fluctuation analysis. Chinese medical journal (English). 125(5):858-62.
94. Nooner KB, Colcombe SJ, Tobe RH, Mennes M, Benedict MM, Moreno AL, Panek LJ, Brown S, Zavitz ST, Li Q, Sikka S, Gutman D, Bangaru S, Schlachter RT, Kamiel SM, Anwar AR, Hinz CM, Kaplan MS, Rachlin AB, Adelsberg S, Cheung B, Khanuja R, Yan CG, Craddock CC, Calhoun V, Courtney W, King M, Wood D, Cox CL, Kelly AM, Di Martino A, Petkova E, Reiss PT, Duan N, Thomsen D, Biswal B, Coffey B, Hoptman MJ, Javitt DC, Pomara N, Sidtis JJ, Koplewicz HS, Castellanos FX, Leventhal BL, Milham MP (2012). The NKI-Rockland Sample: A model for accelerating the pace of discovery science in psychiatry. Frontiers in Neuroscience. 6: 152.
95. 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.
96. Yan CG and He Y. (2011) Driving and driven architectures of directed small-world human brain functional networks. PLoS ONE. 6(8): e23460.
97. Song XW, Dong ZY, Long XY, Li SF, Zuo XN, Zhu CZ, He Y, Yan CG, Zang YF (2011) REST: A toolkit for resting-state functional magnetic resonance imaging data processing. PLoS ONE. 6: e25031.
98. 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. (Cover article)
99. Kang J, Wang L, Yan CG, Wang JH, Liang X, He Y (2011) Characterizing dynamic functional connectivity in the resting brain using variable parameter regression and Kalman filtering approaches. Neuroimage. 56: 1222-1234.
100. Tian LX, Wang JH, Yan CG, He Y (2011) Hemisphere- and gender-related differences in small-world brain networks: A resting-state functional MRI Study. Neuroimage. 54: 191-202.
101. Wu JT, Wu HZ, Yan CG, Chen WX, Zhang HY, He Y, Yang HS. (2011) Aging-related changes in the default mode network and its anti-correlated networks: A resting-state fMRI study. Neuroscience Letters. 504: 62-67.
102. Zhang TJ, Wang JH, Yang YC, Wu QZ, Li B, Chen L, Yue Q, Tang HH, Yan CG, Lui S, Huang XQ, Chan RCK, Zang YF, He Y, Gong QY (2011) Abnormal small-world architecture of top-down control networks in obsessive-compulsive disorder. Journal of Psychiatry and Neuroscience. 36: 23-31.
103. Yan CG* and Zang YF* (2010) DPARSF: A MATLAB toolbox for "pipeline" data analysis of resting-state fMRI. Frontiers in Systems Neuroscience. 4(13).
104. Liu DQ, Yan CG, Ren JJ, Yao L, Kiviniemi VJ and Zang YF (2010) Using coherence to measure regional homogeneity of resting-state fMRI signal. Frontiers in Systems Neuroscience. 4(24).
105. 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.
106. He Y, Wang JH, Wang L, Chen ZJ, Yan CG, Yang H, Tang HH, Zhu CZ, Gong QY, Zang YF, Evans AC (2009) Uncovering intrinsic modular organization of spontaneous brain activity in humans. PLoS ONE. 4(4): e5226.
107. Zou QH, Long XY, Zuo XN, Yan CG, Zhu CZ, Yang YH, Liu DQ, He Y, Zang YF (2009) Functional connectivity between the thalamus and visual cortex under eyes closed and eyes open conditions: A resting-state fMRI study. Human Brain Mapping. 30: 3066-3078.
108. Zhu CZ, Zang YF, Cao QJ, Yan CG, He Y, Jiang TZ, Sui MQ, Wang YF (2008) Fisher discriminative analysis of resting-state brain function for attention-deficit/hyperactivity disorder. Neuroimage. 40:110-20.
109. 严超赣*，李雪莹，鲁彬 (2020) 功能磁共振脑影像学. 科学观察. 15, 6.
110. 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
111. 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)
Software
1. DPABI - a toolbox for Data Processing & Analysis of Brain Imaging
2. DPABISurf - a Surface-Based Resting-State fMRI Data Analysis Toolbox
3. DPABINet - a toolbox for Brain Network and Graph Theoretical Analyses
4. DPABIFiber - a Fiber Tractography and Structural Connectivity Analysis Toolbox
5. DPARSF - Data Processing Assistant for Resting-State fMRI: Initiate and maintain
6. BrainImageNet - an Online Prediction Website for Brain Sex and Alzheimer's Disease Risk
7. The R-fMRI Network (RFMRI.ORG) - a Network for Supporting Resting-State fMRI Related Studies
8. CEST - Cognitive Experiments Standard Toolbox
Courses
1. Cognitive Psychology
2. Advanced Cognitive Psychology
3. Brain Imaging Data Analysis
4. Psychological Statistics MOOC
5. MRI Technology and Data Analysis MOOC
6. DPABI Brain Imaging Series Software Data Analysis MOOC
7. The R-fMRI Course: Resting-State fMRI Online Tutorial (In English)
Awards and Honors
2011 Award for GSK Tomorrow’s Star, GlaxoSmithKline; Award for Outstanding Graduate,
Beijing Normal University
2018 Morning Star Award of the Chinese Academy of Sciences
2020 Excellent Mentor Award of the Chinese Academy of Sciences
2021 Early Career Investigator Award, The Organization for Human Brain Mapping
2021 Second Prize of Natural Science Award of Beijing Municipal Science and Technology Awards (First Recipient)
Sources of Funding
Sci-Tech Innovation 2030 - Major Project of Brain Science and Brain-inspired Intelligence Technology (No. 2021ZD0200600), the National Key R&D Program of China (No. 2017YFC1309902), the National Natural Science Foundation of China (No. 82122035, No. 81671774 and No. 81630031), the 13th Five-year Informatization Plan of Chinese Academy of Sciences (No. XXH13505), the Key Research Program of the Chinese Academy of Sciences (No. ZDBS-SSW-JSC006), Beijing Nova Program of Science and Technology (No. Z191100001119104 and 20230484465), Beijing Natural Science Foundation (J230040), the Scientific Foundation of Institute of Psychology, Chinese Academy of Sciences (No. E2CX4425YZ and No. Y9CX422005).
Academic Services
2022- Vice Chair of the International Academic Exchange Committee of the Chinese Psychological Society
2022- Vice Chair of the Professional Committee on Psychological Brain Imaging of the Chinese Psychological Society
2018-2022 Journal of Neuroscience Methods Editorial Board
2018-2023 NeuroImage Editorial Board
2020-2023 NeuroImage: Reports Associate Editor
2021- Advances in Psychological Science Editorial Board
2023- Imaging Neuroscience Handling Editor
2024- Transcranial Magnetic Stimulation Editorial Board