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Global Signal Regression in Resting-state fMRI Pre-processing Improves Classification Accuracy

Author:Kaibin Xu  Yong Yang  Yong Liu  Bing Liu  Ming Song  Jun Chen  Yunchun Chen  Hua Guo  Peng Li  Lin Lu  Luxian Lv  Ping Wan  Huaning Wang  Huiling Wang  Hao Yan  Jun Yan  Yongfeng Yang  Hongxing Zhang  Dai Zhang  Tianzi Jiang  

Institution:Brainnetome Center, Institute of Automation, Chinese Academy of Sciences  Department of Psychiatry, Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University  Department of Psychiatry, Xijing Hospital, The Fourth Military Medical University  Department of Radiology, Renmin Hospital of Wuhan University  Peking University Sixth Hospital / Institute of Mental Health  Zhumadian Psychiatric Hospital  Department of Psychology, Xinxiang Medical University  Henan Key Lab of Biological Psychiatry, Xinxiang Medical University  Key Laboratory of Mental Health, Ministry of Health (Peking University)  National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences  Center for Life Sciences / PKU-IDG / McGovern Institute for Brain Research, Peking University  Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China  University of Chinese Academy of Sciences  Queensland Brain Institute, University of Queensland  CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation  

Session Type:Digital Poster  

Session Date:Wednesday, 15 May 2019  

Session Time:14:30  

Session Name:fMRI: Acquisition & Artefacts  

Program Number:3952  

Presentation Time:14:30   

Room Number:Exhibition Hall  

Computer Number:Computer 98