Services
Growth Innovation Operations
Cases
Insights
AGP Insights Eco Insiders Podcast
About
Contact
EN
中文

Personal Information

Upload Avatar (500 x 500)
Chao-Gan Yan
yancg@psych.ac.cn
Chinese, English
Beijing

Academic Information

Chinese Academy of Sciences
institute of psychology CAS
  • 2002-2006 Bachelor: University of Science and Technology Beijing
  • 2006-2011 Doctorate: Beijing Normal University
  • Recipient of the National Excellent Young Scientist Fund
  • Elsevier Highly Cited Chinese Researcher (2019-2022)
  • International Human Brain Mapping Society Young Scientist Award
  • Beijing Science and Technology Award, Natural Science Award Second Prize
  • Chinese Academy of Sciences Excellent Mentor Award
  • 2011-2015 - The Nathan S. Kline Institute for Psychiatric Research - Research Scientist
  • 2013-2015 - Department of Child and Adolescent Psychiatry, New York University - Research Assistant Professor
  • 2015-present - Institute of Psychology, Chinese Academy of Sciences - Researcher
  • 2023: Chinese Academy of Sciences Excellent Party Worker Award
  • 2021: Beijing Science and Technology Award, Natural Science Award Second Prize
  • 2021: International Human Brain Mapping Society Young Scientist Award
  • 2019-2023: Stanford Global Top 2% Scientists
  • 2019-2022: Elsevier Highly Cited Chinese Researcher
  • 2020: Chinese Academy of Sciences Excellent Mentor Award

Research

Resting-state functional MRI methodology
Data analysis software platform
Mechanisms of brain spontaneous activity and its application in depression
  • Comprehensive evaluation of harmonization on functional brain imaging for multisite data-fusion, Wang, Y.W., Chen, X., Yan, C.G., 2023
  • Neural representations of self-Generated thought during think-aloud fMRI, Li, H.X., Lu, B., Wang, Y.W., Li, X.Y., Chen, X., Yan, C.G., 2023
  • The Changes of Histone Methylation Induced by Adolescent Social Stress Regulate the Resting-State Activity in mPFC, Wang, J., Zhang, W., Xu, H., Ellenbroek, B., Dai, J., Wang, L., Yan, C.G., Wang, W.W., 2023
  • A practical Alzheimer’s disease classifier via brain imaging-based deep learning on 85,721 samples, 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
  • The DIRECT consortium and the REST-meta-MDD project: towards neuroimaging biomarkers of major depressive disorder, 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
  • Exploring self-generated thoughts in a resting state with natural language processing, Li, H.X., Lu, B., Chen, X., Li, X.Y., Castellanos, F.X., Yan, C.G., 2022
  • Altered cerebral activities and functional connectivity in depression: a systematic review of fMRI studies, Li, X.Y., Chen, X., Yan, C.G., 2022
  • Atypicalities in the developmental trajectory of cortico-striatal functional connectivity in autism spectrum disorder, 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
  • Frequency-specific age-related changes in the amplitude of spontaneous fluctuations in autism, 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
  • Disrupted intrinsic functional brain topology in patients with major depressive disorder, 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
  • DPABISurf: data processing & analysis for brain imaging on surface, Yan, C.-G., Wang, X.-D., Lu, B., 2021
  • Hypostability in the default mode network and hyperstability in the frontoparietal control network of dynamic functional architecture during rumination, Chen, X., Yan, C.-G., 2021
  • Eight-week antidepressant treatment reduces functional connectivity in first-episode drug-naïve patients with major depressive disorder, Li, L., Su, Y.A., Wu, Y.K., Castellanos, F.X., Li, K., Li, J.T., Si, T.M., Yan, C.G., 2021
  • The contributions of brain structural and functional variance in predicting age, sex and treatment, Chen, N.-X., Fu, G., Chen, X., Li, L., Milham, M.P., Lui, S., Yan, C.-G., 2021
  • The subsystem mechanism of default mode network underlying rumination: a reproducible neuroimaging study, Chen, X., Chen, N.X., Shen, Y.Q., Li, H.X., Li, L., Lu, B., Zhu, Z.C., Fan, Z., Yan, C.G., 2020
  • Stability of dynamic functional architecture differs between brain networks and states, Li, L., Lu, B., Yan, C.G., 2020
  • Rumination and the default mode network: Meta-analysis of brain imaging studies and implications for depression, Zhou, H.-X., Chen, X., Shen, Y.-Q., Li, L., Chen, N.-X., Zhu, Z.-C., 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, Shen, Y.-Q., Zhou, H.-X., Chen, X., Castellanos, F.X., Yan, C.-G., 2020
  • Biotypes of major depressive disorder: Neuroimaging evidence from resting-state default mode network patterns, 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
  • Reduced default mode network functional connectivity in patients with recurrent major depressive disorder, 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
  • Physiological significance of R-fMRI indices: Can functional metrics differentiate structural lesions (brain tumors)?, Fan, Z., Chen, X., Qi, Z.X., Li, L., Lu, B., Jiang, C.L., Zhu, R.Q., Yan, C.G., Chen, L., 2019
  • Striatal functional connectivity alterations after two-week antidepressant treatment associated to enduring clinical improvement in major depressive disorder, An, J., Li, L., Wang, L., Su, Y.A., Wang, Y., Li, K., Zeng, Y., Kong, Q., Yan, C.G., Si, T.M., 2019
  • Reproducibility of R-fMRI metrics on the impact of different strategies for multiple comparison correction and sample sizes, Chen X, Lu B, Yan CG, 2018
  • Aberrant intrinsic functional connectivity in thalamo-cortical networks in major depressive disorder, 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
  • Total salvianolic acid balances brain functional network topology in rat hippocampi overexpressing miR-30e, Li Q, Wang L, Li XY, Chen X, Lu B, Cheng L, Yan CG, Xu Y, 2018
  • Concordance among indices of intrinsic brain function: insights from inter-individual variation and temporal dynamics, Yan CG, Yang Z, Colcombe S, Zuo XN, Milham MP, 2017
  • Aberrant development of intrinsic brain activity in a rat model of caregiver maltreatment of offspring, 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
  • Altered intrinsic functional brain architecture in female patients with bulimia nervosa, 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
  • DPABI: Data processing & analysis for (resting-state) brain imaging, Yan CG, Wang XD, Zuo XN, Zang YF, 2016
  • PRN: a preprint service for catalyzing R-fMRI and neuroscience related studies, Yan CG, Li Q, Gao L, 2015
  • Localizing hand motor area using resting-state fMRI: validated with direct cortical stimulation, Qiu TM, Yan CG, Tang WJ, Wu JS, Zhuang DX, Yao CJ, Lu JF, Zhu FP, Mao Y, Zhou LF, 2014
  • A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics, Yan CG, Cheung B, Kelly C, Colcombe S, Craddock RC, Di Martino A, Li Q, Zuo XN, Castellanos FX, Milham MP, 2013
  • Standardizing the intrinsic brain: towards robust measurement of inter-individual variation in 1000 functional connectomes, Yan CG, Craddock RC, Zuo XN, Zang YF, Milham MP, 2013
  • Addressing head motion dependencies for small-world topologies in functional connectomics, Yan CG, Craddock RC, He Y, Milham MP, 2013
  • Discriminative analysis of early Alzheimer’s disease using multi-modal imaging and multi-level characterization with multi-classifier (M3), Dai ZJ, Yan CG, Wang ZQ, Wang JH, Xia MR, Li KC, He Y, 2012
  • Sex- and brain size-related small-world structural cortical networks in young adults: a DTI tractography study, Yan CG, Gong GL, Wang JH, Wang DY, Liu DQ, Zhu CZ, Chen ZJ, Evans A, Zang YF, He Y, 2011
  • Driving and driven architectures of directed small-world human brain functional networks, Yan CG and He Y., 2011
  • Spatial patterns of intrinsic brain activity in mild cognitive impairment and Alzheimer’s disease: A resting-state functional MRI study, Wang ZQ, Yan CG, Zhao C, Qi ZG, Zhou WD, Lu J, He Y, Li KC, 2011
  • DPARSF: a MATLAB toolbox for \"pipeline\" data analysis of resting-state fMRI, Yan CG and Zang YF, 2010
  • Spontaneous brain activity in the default mode network is sensitive to different resting-state conditions with limited cognitive load, Yan CG, Liu DQ, He Y, Zou QH, Zhu CZ, Zuo XN, Long XY, Zang YF, 2009
  • 功能磁共振脑影像学, 严超赣, 李雪莹, 鲁彬, 2020
  • 孤独症脑自发活动动态性及其整合的异常机制, 鲁彬, 陈骁, 李乐, 沈杨千, 陈宁轩, 梅婷, 周会霞, 刘靖, 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, 严超赣, 2018
Keywords
Resting-State Fmri Methodology Data Analysis Software Platform Brain Activity Depression Spontaneous Activity Neuroimaging Functional Connectivity Brain Networks
Related Professors
Rui Li - Chinese Academy of Sciences
Area of Focus
Neuroimaging | Brain Networks | Cognitive Processes | Psychological Processes | Functional Connectivity | Aging | Brain Structure | Brain Function | Intervention Methods | Mental Health
Lili Jiang - Chinese Academy of Sciences
Area of Focus
Computational Models | Neuroimaging | Brain Connectivity | Functional Homogeneity | Cognitive Development | Neuroscience | Biological Systems | Mri Techniques | Data Analysis | Quantitative Biology
Yi Wang - Chinese Academy of Sciences
Area of Focus
Social Cognition | Brain Imaging | Psychiatric Disorders | Risk Populations | Schizotypal Traits | Social Anhedonia | Functional Connectivity | Neuroimaging | Cognitive Neuroscience | Mental Health
View All
© 2015-2024 Asia Growth Partners Limited | Privacy Policy

Contact us

Let's talk!
* Required
* Required
* Required
* Invalid email address
By submitting this form, you agree that IoT ONE may contact you with insights and marketing messaging.
No thanks, I don't want to receive any marketing emails from IoT ONE.
Submit

Thank you for your message!
We will contact you soon.