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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

Data‐driven methods have been widely used in functional magnetic resonance imaging (fMRI) data analysis. They extract latent factors, generally, through the use of a simple generative model. Independent component analysis (ICA) and dictionary learning (DL) are two popular data‐driven methods that ar...

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Bibliografski detalji
Izdano u:Hum Brain Mapp
Glavni autori: Long, Qunfang, Bhinge, Suchita, Levin‐Schwartz, Yuri, Boukouvalas, Zois, Calhoun, Vince D., Adalı, Tülay
Format: Artigo
Jezik:Inglês
Izdano: John Wiley & Sons, Inc. 2018
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC6392437/
https://ncbi.nlm.nih.gov/pubmed/30240499
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/hbm.24389
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