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Impaired time-distance reconfiguration patterns in Alzheimer's disease: a dynamic functional connectivity study with 809 individuals from 7 sites 期刊论文
BMC Bioinformatics, 2022, 卷号: 23, 期号: Suppl 6
Authors:  Du,Kai;  Chen,Pindong;  Zhao,Kun;  Qu,Yida;  Kang,Xiaopeng;  Liu,Yong;  ,
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Time distance nodal connectivity diversity  Dynamic functional connectivity  Network reconfiguration  Multicenter  Alzheimer's disease  
基于磁共振影像与多组学数据解析精神分裂症功能失连接生物学机制的研究 学位论文
, 中国科学院自动化研究所: 中国科学院自动化研究所, 2022
Authors:  王萌
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精神分裂症  磁共振影像  多组学  跨尺度  失连接  
Abnormal dynamic functional network connectivity and graph theoretical analysis in major depressive disorder 会议论文
, Honolulu, 2018/07/17
Authors:  Zhi DM(支冬梅)
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Major depressive disorder, dynamic functional network connectivity  
Reorganization of rich-clubs in functional brain networks during propofol-induced unconsciousness and natural sleep 期刊论文
NEUROIMAGE-CLINICAL, 2020, 期号: 25, 页码: 18
Authors:  Wang Shengpei;  Yun, Li;  Shuang, Qiu;  Zhang Chuncheng;  Wang Guyan;  Xian Junfang;  Li, Tianzuo;  He Huiguang
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Resting-state functional magnetic resonance images (rs-fMRI)  Brain network  Rich-club organization  Propofol-induced sedation  Natural sleep  
Core networks and their reconfiguration patterns across cognitive loads 期刊论文
HUMAN BRAIN MAPPING, 2018, 卷号: 39, 期号: 9, 页码: 3546-3557
Authors:  Zuo, Nianming;  Yang, Zhengyi;  Liu, Yong;  Li, Jin;  Jiang, Tianzi
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Brain Network  Functional Connectivity  Functional Mri  Network Reconfiguration  Working Memory  
Disrupted topological organization of structural networks revealed by probabilistic diffusion tractography in Tourette syndrome children 期刊论文
HUMAN BRAIN MAPPING, 2017, 卷号: 38, 期号: 8, 页码: 3988-4008
Authors:  Wen, Hongwei;  Liu, Yue;  Rekik, Islem;  Wang, Shengpei;  Zhang, Jishui;  Zhang, Yue;  Peng, Yun;  He, Huiguang;  He HG(何晖光)
View  |  Adobe PDF(938Kb)  |  Favorite  |  View/Download:610/202  |  Submit date:2017/06/06
Tourette Syndrome  Diffusion Mri  Probabilistic Tractography  Structural Network  Graph Theory  Topological Organization  Multiple Kernel Learning