DPARSF: a MATLAB toolbox for “pipeline” data analysis of resting-state fMRI Y Chao-Gan, Z Yu-Feng Frontiers in systems neuroscience 4, 2010 | 3505 | 2010 |
DPABI: data processing & analysis for (resting-state) brain imaging CG Yan, XD Wang, XN Zuo, YF Zang Neuroinformatics 14, 339-351, 2016 | 2795 | 2016 |
The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism A Di Martino, CG Yan, Q Li, E Denio, FX Castellanos, K Alaerts, ... Molecular psychiatry 19 (6), 659-667, 2014 | 2397 | 2014 |
REST: A Toolkit for Resting-State Functional Magnetic Resonance Imaging Data Processing XW Song, ZY Dong, XY Long, SF Li, XN Zuo, CZ Zhu, Y He, CG Yan, ... PloS one 6 (9), e25031, 2011 | 2021 | 2011 |
A Comprehensive Assessment of Regional Variation in the Impact of Head Micromovements on Functional Connectomics CG Yan, B Cheung, C Kelly, S Colcombe, RC Craddock, AD Martino, Q Li, ... NeuroImage, 2013 | 1433 | 2013 |
The NKI-Rockland sample: a model for accelerating the pace of discovery science in psychiatry KB Nooner, SJ Colcombe, RH Tobe, M Mennes, MM Benedict, AL Moreno, ... Frontiers in neuroscience 6, 2012 | 790 | 2012 |
Uncovering intrinsic modular organization of spontaneous brain activity in humans Y He, J Wang, L Wang, ZJ Chen, C Yan, H Yang, H Tang, C Zhu, Q Gong, ... PLoS One 4 (4), e5226, 2009 | 691 | 2009 |
Reduced default mode network functional connectivity in patients with recurrent major depressive disorder CG Yan, X Chen, L Li, FX Castellanos, TJ Bai, QJ Bo, J Cao, GM Chen, ... Proceedings of the National Academy of Sciences 116 (18), 9078-9083, 2019 | 531 | 2019 |
Imaging human connectomes at the macroscale RC Craddock, S Jbabdi, CG Yan, JT Vogelstein, FX Castellanos, ... Nature methods 10 (6), 524-539, 2013 | 502 | 2013 |
Rumination and the default mode network: Meta-analysis of brain imaging studies and implications for depression HX Zhou, X Chen, YQ Shen, L Li, NX Chen, ZC Zhu, FX Castellanos, ... Neuroimage 206, 116287, 2020 | 423 | 2020 |
Standardizing the intrinsic brain: Towards robust measurement of inter-individual variation in 1000 functional connectomes CG Yan, RC Craddock, XN Zuo, YF Zang, MP Milham Neuroimage 80, 246-262, 2013 | 414 | 2013 |
Hemisphere-and gender-related differences in small-world brain networks: a resting-state functional MRI study L Tian, J Wang, C Yan, Y He Neuroimage 54 (1), 191-202, 2011 | 372 | 2011 |
Spontaneous brain activity in the default mode network is sensitive to different resting-state conditions with limited cognitive load C Yan, D Liu, Y He, Q Zou, C Zhu, X Zuo, X Long, Y Zang PLoS One 4 (5), e5743, 2009 | 350 | 2009 |
Discriminative analysis of early Alzheimer's disease using multi-modal imaging and multi-level characterization with multi-classifier (M3) Z Dai, C Yan, Z Wang, J Wang, M Xia, K Li, Y He Neuroimage 59 (3), 2187-2195, 2012 | 314 | 2012 |
Identifying and mapping connectivity patterns of brain network hubs in Alzheimer's disease Z Dai, C Yan, K Li, Z Wang, J Wang, M Cao, Q Lin, N Shu, M Xia, Y Bi, ... Cerebral cortex 25 (10), 3723-3742, 2015 | 312 | 2015 |
Spatiotemporal structure of intracranial electric fields induced by transcranial electric stimulation in humans and nonhuman primates A Opitz, A Falchier, CG Yan, EM Yeagle, GS Linn, P Megevand, ... Scientific reports 6 (1), 31236, 2016 | 308 | 2016 |
Spatial patterns of intrinsic brain activity in mild cognitive impairment and alzheimer's disease: A resting‐state functional MRI study Z Wang, C Yan, C Zhao, Z Qi, W Zhou, J Lu, Y He, K Li Human brain mapping, 2010 | 300 | 2010 |
Reproducibility of R‐fMRI metrics on the impact of different strategies for multiple comparison correction and sample sizes X Chen, B Lu, CG Yan Human brain mapping 39 (1), 300-318, 2018 | 286 | 2018 |
Fisher discriminative analysis of resting-state brain function for attention-deficit/hyperactivity disorder CZ Zhu, YF Zang, QJ Cao, CG Yan, Y He, TZ Jiang, MQ Sui, YF Wang Neuroimage 40 (1), 110-120, 2008 | 276 | 2008 |
Towards automated analysis of connectomes: The configurable pipeline for the analysis of connectomes (c-pac) C Craddock, S Sikka, B Cheung, R Khanuja, SS Ghosh, C Yan, Q Li, ... Front Neuroinform 42 (10.3389), 2013 | 269 | 2013 |