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Abnormal Dynamic Functional Network Connectivity Estimated from Default Mode Network Predicts Symptom Severity in Major Depressive Disorder 期刊论文
BRAIN CONNECTIVITY, 2021, 卷号: 11, 期号: 10, 页码: 838-849
Authors:  Sendi, Mohammad S. E.;  Zendehrouh, Elaheh;  Sui, Jing;  Fu, Zening;  Zhi, Dongmei;  Lv, Luxian;  Ma, Xiaohong;  Ke, Qing;  Li, Xianbin;  Wang, Chuanyue;  Abbott, Christopher C.;  Turner, Jessica A.;  Miller, Robyn L.;  Calhoun, Vince D.
Favorite  |  View/Download:50/0  |  Submit date:2022/06/06
default mode network  dynamic functional network connectivity  machine learning  major depressive disorder  resting-state functional magnetic resonance imaging  
Assessing dynamic brain graphs of time-varying connectivity in fMRI data: application to healthy controls and patients with schizophrenia 期刊论文
Neuroimage, 2015, 期号: 107, 页码: 345-55
Authors:  Qingbao Yu;  Erik B. Erhardt;  Sui Jing(隋婧);  Yuhui Du;  Hao H;  Devon Hjelm;  Mustafa S. Cetina;  Srinivas Rachakonda;  Robyn L. Miller;  Godfrey Pearlson;  Vince D. Calhoun
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Brain Graph  Dynamic  Ica  R-fmri  Schizophrenia  Time Varying