Chao-Gan Yan, Ph.D.
Institute of Psychology, Chinese Academy of Sciences
16 Lincui Road, Chaoyang District, Beijing 100101, China
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
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 School of Medicine
2015- Principal Investigator, Institute of Psychology, Chinese Academy of Sciences
1. Computational methodology of resting-state fMRI
2. Mechanisms of spontaneous brain activity
3. Functions of the default mode network
4. Brain network analysis and applications to brain disorders
Awards and Honors
2006 Award for Outstanding Undergraduate, University of Science and Technology Beijing
2007 Scholarship for Outstanding Postgraduate, Beijing Normal University
2008 Award for excellent Research work, State Key Laboratory of Cognitive Neuroscience and
Learning, Beijing Normal University
2009 Award for Outstanding Academic Achievement (2nd level) and Award for excellent
Research work, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing
2010 Award for Outstanding Young Scholar (for doctoral candidates, Ministry of Education,
China); Huazang scholarship, Beijing Normal University; Award for Outstanding
Academic Achievement (1st level), State Key Laboratory of Cognitive Neuroscience and
Learning, Beijing Normal University
2011 Award for GSK Tomorrow’s Star, GlaxoSmithKline; Award for Outstanding Graduate,
Beijing Normal University.
2009- Member, Organization for Human Brain Mapping
2014- Member, Society for Neuroscience
Ad Hoc Reviewing
Journal of Neuroscience; Biological Psychiatry; Cerebral Cortex; NeuroImage; NeuroImage: Clinical; Human Brain Mapping; PLoS ONE; Scientific Reports; Brain Connectivity; Journal of Neurophysiology; Neuroinformatics; Social Cognitive and Affective Neuroscience; Journal of Neuroscience Methods; Neuroscience Letters; Behavioral and Brain Functions; Frontiers in Neuroscience; Frontiers in Human Neuroscience; Journal of Imaging; and Cognitive, Affective, and Behavioral Neuroscience.
2001-2002 Mathematical teacher, Ertang Middle school, Qinglong, Dayu, Ganzhou, Jiangxi
2006.4-2006.9 Hardware Engineer, Beijing Liuhe Greatness Technology Co., Ltd
2006-2007 Chairman of the Postgraduate Association of Institute of Cognitive Neuroscience and Learning, Beijing Normal University
2008-2011 Captain of the basketball team of Institute of Cognitive Neuroscience and Learning, Beijing Normal University
2012 - Chinese Student/Scholar Social Dinner Organizer at OHBM, SFN Annual meetings.
Lectures and Invited Talks
1. Multimedia Course of Data Processing of Resting-State fMRI: http://rfmri.org/Course
2. MoLFF: A theoretical framework of the underlying “mechanisms” for R-fMRI spontaneous fluctuations. August 13, 2014, The 1st International Conference on Human Brain Development, Beijing Convention Center, Beijing, China; http//rfmri.org/MoLFF
3. R-fMRI spontaneous low frequency fluctuations: making measurements more robust and a theoretical framework of the underlying electrophysiological “mechanisms”. August 9, 2014, Hangzhou Normal University, Hangzhou, Zhejiang
4. Resting-state fMRI: Principles, Algorithms and Methodological issues. July 12, 2014, Princeton University, NJ
5. Resting-state fMRI: Algorithms, Applications to Brain Disorders and Data Processing. July 30, 2013. Department of Radiology, New York University, New York
6. Data Processing of Resting-State fMRI and DPARSF. April 25, 2013. Department of Child and Adolescent Psychiatry, New York University, New York
7. Resting-State fMRI: Algorithms, Applications to Brain Disorders and Data Processing. October 28, 2011. Mount Sinai School of Medicine, New York.
8. Data Processing of Resting-State fMRI. April 10, 2011, Workshop on New Advances of fMRI Techniques and Their Applications to Neurological and Psychiatric Disorders, Hangzhou, Zhejiang
9. Data Processing of Resting-State fMRI. April 4, 2010, Workshop on resting-state fMRI: data analysis and clinical research, Chengdu, Sichuang
10. Data Processing of Resting-State fMRI. December 20, 2009, Workshop on principles and applications of fMRI and DTI, Beijing Normal University, Beijing
11. Resting-state fMRI: Algorithms, Applications to Brain Disorders and Data Processing. June 14-16, 2008, Guangzhou, Guangdong
Software and Academic Services
1. DPABI: a toolbox for Data Processing & Analysis of Brain Imaging: Initiated and maintain
2. DPARSF: Data Processing Assistant for Resting-State fMRI: Initiated and maintain (Times cited since 2010: >700)
3. The R-fMRI Network (RFMRI.ORG) - a network for supporting resting-state fMRI related studies: Initiated and serving as president and programmer
4. Preprints of the R-fMRI Network: Initiated and serving as Editor-in-Chief
5. The R-fMRI Course: online Course of Data Processing of Resting-State fMRI: created and maintained (Times viewed since 2009: >131,000).
1. Yan CG*, Wang XD, Zuo XN, Zang YF (2016) DPABI: Data Processing & Analysis for (Resting-State) Brain Imaging. Neuroinformatics. In Press.
2. Yan CG*, Li Q, Gao L (2015) PRN: a preprint service for catalyzing R-fMRI and neuroscience related studies. F1000Research. 3: 313.
3. 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.
4. 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.
5. 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.
6. 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.
7. 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.
8. 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.
9. 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.
10. 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.
11. 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.
12. 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.
13. 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.
14. 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.
15. 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.
16. 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.
17. 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.
18. 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.
19. 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.
20. 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.
21. 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.
22. 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.
23. 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.
24. 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.
25. Yan CG and He Y. (2011) Driving and driven architectures of directed small-world human brain functional networks. PLoS ONE. 6(8): e23460.
26. 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.
27. 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)
28. 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.
29. 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.
30. 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.
31. 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.
32. Yan CG* and Zang YF* (2010) DPARSF: a MATLAB toolbox for "pipeline" data analysis of resting-state fMRI. Frontiers in Systems Neuroscience. 4(13).
33. 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).
34. 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.
35. 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.
36. 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.
37. 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.
(*Corresponding author #Equal contribution)
Date Edited: July 1, 2015