YAN Chao-Gan's curriculum vitae


Chao-Gan Yan, Ph.D.

Professor, Principal Investigator

Director, Magnetic Resonance Imaging Research Center

Director, International Big-Data Center for Depression Research

Institute of Psychology, Chinese Academy of Sciences

16 Lincui Road, Chaoyang District, Beijing 100101, China

E-mail: ycg.yan#gmail.com 



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. Resting-state fMRI methodology

2. Brain mechanism of rumination

3. Modulation of spontaneous brain activity: intervention and brain stimulation

4. Resting-state fMRI application to depression

Awards and Honors

2006    Award for Outstanding Undergraduate, University of Science and Technology Beijing

2010    Award for Outstanding Young Scholar (for doctoral candidates, Ministry of Education,


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

Professional Memberships

2009-               Member, Organization for Human Brain Mapping

2014-               Member, Society for Neuroscience

Ad Hoc Reviewing

PLOS Biology; Journal of Neuroscience; Biological Psychiatry; Cerebral Cortex; NeuroImage; NeuroImage: Clinical; Human Brain Mapping; Neuropsychopharmacology; 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.        

Social Experiences

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.

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.     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. In Press.

2.     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.

3.     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.

4.     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.

5.     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.* (2021). Atypicalities in the developmental trajectory of cortico-striatal functional connectivity in autism spectrum disorder. Autism, 13623613211041904.

6.     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.

7.     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.

8.     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.

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

10.  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.

11.  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.

12.  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.

13.  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.

14.  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. (2020). Measurement reliability for individual differences in multilayer network dynamics: Cautions and considerations. Neuroimage, 225, 117489.

15.  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.

16.  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.

17.  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.

18.  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.

19.  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.

20.  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.

21.  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.

22.  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.

23.  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.

24.  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.

25.  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.

26.  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.

27.  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.

28.  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.

29.  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.

30.  Yan CG*, Wang XD, Zuo XN, Zang YF (2016) DPABI: Data processing & analysis for (resting-state) brain imaging. Neuroinformatics. 14: 339-351.

31.  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.

32.  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.

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

34.  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.

35.  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.

36.  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.

37.  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.

38.  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.

39.  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.

40.  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.

41.  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.

42.  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.

43.  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.

44.  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.

45.  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. 

46.  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.

47.  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.

48.  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.

49.  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.

50.  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.

51.  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.

52.  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.

53.  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.

54.  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.

55.  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.

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

57.  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.

58.  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)

59.  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.

60.  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.

61.  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.

62.  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.

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

64.  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).

65.  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.

66.  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.

67.  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.

68.  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.

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

70.  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

71.  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)


Date Edited: May 20, 2019