Two-step paretial least square regression classifiers in brain-state decoding using functional magnetic resonance imaging

Multivariate analysis methods have been widely applied to decode brain states from functional magnetic resonance imaging (fMRI) data. Among various multivariate analysis methods, partial least squares regression (PLSR) is often used to select relevant features for decoding brain states. However, PLS...

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Detalles Bibliográficos
Autores principales: Long, Zhiying, Wang, Yubao, Liu, Xuanping, Yao, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6457628/
https://www.ncbi.nlm.nih.gov/pubmed/30970029
http://dx.doi.org/10.1371/journal.pone.0214937

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6457628/
https://www.ncbi.nlm.nih.gov/pubmed/30970029
http://dx.doi.org/10.1371/journal.pone.0214937

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