Constrained Independent Component Analysis Based on Entropy Bound Minimization for Subgroup Identification from Multi-subject fMRI Data-Reference-Cited by-同舟云学术

Constrained Independent Component Analysis Based on Entropy Bound Minimization for Subgroup Identification from Multi-subject fMRI Data

Published:2023-06-04 Issue: Volume: Page:
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Container-title:ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Yang H.¹,Ghayem F.¹,Gabrielson B.¹,Akhonda M. A. B. S.¹,Calhoun V. D.²,Adali T.¹

Affiliation:

1. University of Maryland Baltimore County,Dept. of CSEE,Baltimore,USA

2. Georgia State University, Georgia Institute of Technology, and Emory University,Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS),Atlanta,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10094559/10094560/10095816.pdf?arnumber=10095816

Reference44 articles.

1. Spatial Dynamic Functional Connectivity Analysis Identifies Distinctive Biomarkers in Schizophrenia

2. An effective decoupling method for matrix optimization and its application to the ICA problem

3. Functional brain networks in schizophrenia: a review

4. The role of diversity in data‐driven analysis of multi‐subject fMRI data: Comparison of approaches based on independence and sparsity using global performance metrics

5. Multisubject Independent Component Analysis of fMRI: A Decade of Intrinsic Networks, Default Mode, and Neurodiagnostic Discovery

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