A Study of Major Depressive Disorder Based on Resting-State Multilayer EEG Function Network-Reference-Cited by-同舟云学术

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A Study of Major Depressive Disorder Based on Resting-State Multilayer EEG Function Network

Published:2023 Issue: Volume: Page:1-11
ISSN:2329-924X
Container-title:IEEE Transactions on Computational Social Systems
language:
Short-container-title:IEEE Trans. Comput. Soc. Syst.

Author:

Sun Shuting¹,Qu Shanshan¹,Yan Chang¹,Luo Gang¹,Liu Xuesong¹,Dong Qunxi¹^ORCID,Li Xiaowei²^ORCID

Affiliation:

1. Institute of Engineering Medicine, Brain Health Engineering Laboratory, Beijing Institute of Technology, Beijing, China

2. School of Information Science and Engineering, Gansu Provincial Key Laboratory of Wearable Computing, Lanzhou University, Lanzhou, China

Funder

Beijing Institute of Technology Research Fund Program for Young Scholars through the Fundamental Research Funds for the Central Universities

National Key Research and Development Program of China

National Natural Science Foundation of China

Scientific and Technological Innovation 2030 Project of Ministry of Science and Technology (MOST), People’s Taiwan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Social Sciences (miscellaneous),Modeling and Simulation

Link

http://xplorestaging.ieee.org/ielx7/6570650/6780646/10136618.pdf?arnumber=10136618

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Depressive Disorders Recognition by Functional Connectivity Using Graph Convolutional Network Based on EEG Microstates;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

2. MGSN: Depression EEG lightweight detection based on multiscale DGCN and SNN for multichannel topology;Biomedical Signal Processing and Control;2024-06

3. Brain Functional Alterations of Multilayer Network After Stroke: A Case–Control Study Based on EEG Signals;IEEE Sensors Journal;2024-04-01

4. Adaptive Weight and Wasserstein Distance Constrained Low-Rank Sparse Representation Method for Functional Connectivity Network Estimation;IEEE Transactions on Computational Social Systems;2024

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