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Yan Chaogan
Professor
Tel:  86-10-64101582
Fax:  86-10-64101582
Mailing Address:  16 Lincui Road, Chaoyang District, Beijing 100101, China
Email:  yancg@psych.ac.cn
Website:  http://rfmri.org/yan
Resume:

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 School of Medicine
2015-    Professor, Principal Investigator, Institute of Psychology, Chinese Academy of Sciences

Research Interests:

1. Computational methodology of resting-state fMRI
2. Function of the default mode network and spontaneous brain activity
3. Mechanism underlying resting-state fMRI measures
4. Causal influence of inter-regional brain activities
5. Brain anatomical/functional network analysis and application in brain disorders

Community service:

Professional Memberships
2009-    Member, Organization for Human Brain Mapping
2014-    Member, Society for Neuroscience
Ad Hoc Reviewing
Journal of Neuroscience; Cerebral Cortex; NeuroImage; NeuroImage: Clinical; Human Brain Mapping; PLoS ONE; Brain Connectivity; Journal of Neurophysiology; Neuroinformatics; Journal of Neuroscience Methods; Neuroscience Letters; Behavioral and Brain Functions; Frontiers in Neuroscience; Frontiers in Human Neuroscience; and Cognitive, Affective, and Behavioral Neuroscience. 
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: 306)
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: 74575). 

Achievements:
Selected Publications:

1. Yan CG*, Wang XD, Zuo XN, Zang YF (2016) DPABI: Data Processing & Analysis for (Resting-State) Brain Imaging. Neuroinformatics. 14: 339-351. 
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. 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. 
5. 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. 
6. 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. 
7. 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. 
8. 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. 
9. 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.
10. 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. 
11. 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. 
12. Yan CG and He Y. (2011) Driving and driven architectures of directed small-world human brain functional networks. PLoS ONE. 6(8): e23460. 
13. 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) 
14. Yan CG* and Zang YF* (2010) DPARSF: a MATLAB toolbox for "pipeline" data analysis of resting-state fMRI. Frontiers in Systems Neuroscience. 4(13). 
15. 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. 
(*Corresponding author #Equal contribution) 

Grants: