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Altered Brain Dynamics and Their Ability for Major Depression Detection Using EEG Microstates Analysis 期刊论文
IEEE Transactions on Affective Computing, 2023, 卷号: 14, 期号: 3, 页码: 2116-2126
Authors:  Li, Jianxiu;  Li, Nan;  Shao, Xuexiao;  Chen, Junhao;  Hao, Yanrong;  Li, XW(李小伟);  Hu, B(胡斌)
Favorite  |    Submit date:2023/11/28
Brain network dynamics  classification  EEG  microstates  major depressive disorder  
Abnormal Brain Topological Structure of Mild Depression During Visual Search Processing Based on EEG Signals 期刊论文
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2022, 卷号: 30, 页码: 1705-1715
Authors:  Sun, Shuting;  Liu, Liangliang;  Shao, Xuexiao;  Yan, Chang;  Li, Xiaowei;  Hu, Bin
Adobe PDF(2718Kb)  |  Favorite  |    Submit date:2022/07/25
Depression  Visualization  Electroencephalography  Network topology  Faces  Topology  Sun  Mild depression  EEG  functional brain network  tree agglomerative hierarchical clustering  visual search  
Analysis of Functional Brain Network in MDD Based on Improved Empirical Mode Decomposition with Resting State EEG Data 期刊论文
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2021, 卷号: 29, 页码: 1546-1556
Authors:  Shao, Xuexiao;  Sun, Shuting;  Li, Jianxiu;  Kong, Wenwen;  Zhu, J(祝婧);  Li, XW(李小伟);  Hu, B(胡斌)
Favorite  |    Submit date:2021/12/14
Electroencephalography  Mixing  Signalprocessing  Brainfunctionnetworks  Brainfunctionalnetworks  Electroencephalogramsignals  EmpiricalModeDecomposition  Improvedempiricalmodedecompositions(EMD)  IntrinsicModefunctions  Majordepressivedisorder(MDD)  Timefrequencyanalysis  Functional connectivity  major depressive disorder  high-density  improved empirical mode decomposition  resting state EEG