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Chao-Gan Yan
Researcher at Chinese Academy of Sciences
Publications - 107
Citations - 12863
Chao-Gan Yan is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Resting state fMRI & Default mode network. The author has an hindex of 34, co-authored 103 publications receiving 9824 citations. Previous affiliations of Chao-Gan Yan include MIND Institute & Beijing Normal University.
Papers
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Journal ArticleDOI
DPABI: Data Processing & Analysis for (Resting-State) Brain Imaging.
TL;DR: The newly developed toolbox, DPABI, which was evolved from REST and DPARSF is introduced, designed to make data analysis require fewer manual operations, be less time-consuming, have a lower skill requirement, a smaller risk of inadvertent mistakes, and be more comparable across studies.
Journal ArticleDOI
REST: A Toolkit for Resting-State Functional Magnetic Resonance Imaging Data Processing
Xiaowei Song,Zhang-Ye Dong,Xiangyu Long,Su-Fang Li,Xi-Nian Zuo,Chaozhe Zhu,Yong He,Chao-Gan Yan,Yu-Feng Zang,Yu-Feng Zang +9 more
TL;DR: A toolkit for the analysis of RS-fMRI data, namely the RESting-state fMRI data analysis Toolkit (REST), which was developed in MATLAB with graphical user interface (GUI).
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A Comprehensive Assessment of Regional Variation in the Impact of Head Micromovements on Functional Connectomics
Chao-Gan Yan,Brian Cheung,Clare Kelly,Stanley J. Colcombe,R. Cameron Craddock,R. Cameron Craddock,Adriana Di Martino,Qingyang Li,Xi-Nian Zuo,F. Xavier Castellanos,F. Xavier Castellanos,Michael P. Milham,Michael P. Milham +12 more
TL;DR: A comprehensive voxel-based examination of the impact of motion on the BOLD signal suggests that positive relationships may reflect neural origins of motion while negative relationships are likely to originate from motion artifact.
Journal ArticleDOI
The NKI-Rockland Sample: A Model for Accelerating the Pace of Discovery Science in Psychiatry.
Kate B. Nooner,Kate B. Nooner,Stanley J. Colcombe,Russell H. Tobe,Maarten Mennes,Maarten Mennes,Melissa M. Benedict,Alexis L. Moreno,Laura J. Panek,Shaquanna Brown,Stephen T. Zavitz,Qingyang Li,Sharad Sikka,David A. Gutman,Saroja Bangaru,Rochelle Tziona Schlachter,Stephanie M. Kamiel,Ayesha R. Anwar,Caitlin M. Hinz,Michelle S. Kaplan,Anna B. Rachlin,Samantha Adelsberg,Brian Cheung,Ranjit Khanuja,Chao-Gan Yan,Cameron Craddock,V.D. Calhoun,V.D. Calhoun,William Courtney,Margaret D. King,Dylan Wood,Christine L. Cox,A. M. Clare Kelly,Adriana Di Martino,Eva Petkova,Eva Petkova,Philip T. Reiss,Philip T. Reiss,Nancy Duan,Dawn Thomsen,Bharat B. Biswal,Barbara J. Coffey,Barbara J. Coffey,Matthew J. Hoptman,Matthew J. Hoptman,Daniel C. Javitt,Daniel C. Javitt,Nunzio Pomara,Nunzio Pomara,John J. Sidtis,John J. Sidtis,Harold S. Koplewicz,Francisco X. Castellanos,Francisco X. Castellanos,Bennett L. Leventhal,Michael P. Milham,Michael P. Milham +56 more
TL;DR: The conceptual basis of the NKI-RS is described, including study design, sampling considerations, and steps to synchronize phenotypic and neuroimaging assessment, and it is hoped that familiarity with the conceptual underpinnings will facilitate harmonization with future data collection efforts aimed at advancing psychiatric neuroscience and nosology.
Journal ArticleDOI
Uncovering Intrinsic Modular Organization of Spontaneous Brain Activity in Humans
Yong-yong He,Jinhui Wang,Liang Wang,Zhang Chen,Chao-Gan Yan,Hong Yang,Hong Yang,Hehan Tang,Chaozhe Zhu,Qiyong Gong,Yu-Feng Zang,Alan C. Evans +11 more
TL;DR: The results demonstrate the highly organized modular architecture and associated topological properties in the temporal and spatial brain functional networks of the human brain that underlie spontaneous neuronal dynamics, which provides important implications for understanding of how intrinsically coherent spontaneous brain activity has evolved into an optimal neuronal architecture to support global computation and information integration in the absence of specific stimuli or behaviors.