Abnormal Dynamic Functional Network Connectivity and Graph Theoretical Analysis in Major Depressive Disorder. - Dongmei Zhi; Xiaohong Ma; Luxian Lv; Qing Ke; Yongfeng Yang; Xiao Yang; Miao Pan; Shile Qi; Rongtao Jiang; Yuhui Du; Qingbao Yu; Vince D. Calhoun; et al. (EMBC, 2018)

Aberrant Functional Network Connectivity Transition Probability in Major Depressive Disorder. - Elaheh Zendehrouh; Mohammad S. Eslampanah Sendi; Jing Sui; Zening Fu; Dongmei Zhi; Luxian Lv; Xiaohong Ma; Qing Ke; Xianbin Li; Chuanyue Wang; Christopher C. Abbott; Jessica A. Turner; et al. (EMBC, 2020)

BNCPL: Brain-Network-based Convolutional Prototype Learning for Discriminating Depressive Disorders. - Dongmei Zhi; Vince D. Calhoun; Chuanyue Wang; Xianbin Li; Xiaohong Ma; Luxian Lv; Weizheng Yan; Dongren Yao; Shile Qi; Rongtao Jiang; Jianlong Zhao; Xiao Yang; et al. (EMBC, 2021)

Abnormal Dynamic Functional Network Connectivity Estimated from Default Mode Network Predicts Symptom Severity in Major Depressive Disorder. - Mohammad S. Eslampanah Sendi; Elaheh Zendehrouh; Jing Sui; Zening Fu; Dongmei Zhi; Luxian Lv; Xiaohong Ma; Qing Ke; Xianbin Li; Chuanyue Wang; Christopher C. Abbott; Jessica A. Turner; et al. (Brain Connect., 2021)