Homogeneous-Multiset-CCA-Based Brain Covariation and Contravariance Connectivity Network Modeling-Reference-Cited by-同舟云学术

Homogeneous-Multiset-CCA-Based Brain Covariation and Contravariance Connectivity Network Modeling

Published:2023 Issue: Volume:31 Page:3556-3565
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Ling Qinrui¹^ORCID,Liu Aiping¹^ORCID,Li Yu²^ORCID,Mi Taomian³,Chan Piu³^ORCID,Liu Ying⁴,Chen Xun¹^ORCID

Affiliation:

1. Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China

2. Institute of Dataspace, Hefei Comprehensive National Science Center, Hefei, China

3. Department of Neurology, Neurobiology and Geriatrics, Xuanwu Hospital of Capital Medical University, Beijing Institute of Brain Disorders, Beijing, China

4. Department of Radiology, First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Link

http://xplorestaging.ieee.org/ielx7/7333/10031624/10243607.pdf?arnumber=10243607

Reference43 articles.

1. Functional connectivity analysis of fMRI data based on regularized multiset canonical correlation analysis

2. Numerical Optimization

3. Learning and comparing functional connectomes across subjects

4. A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis

5. A Sticky Weighted Regression Model for Time-Varying Resting-State Brain Connectivity Estimation

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