Improved Interpretability of Brain-Behavior CCA With Domain-Driven Dimension Reduction

Canonical Correlation Analysis (CCA) has been widely applied to study correlations between neuroimaging data and behavioral data. Practical use of CCA typically requires dimensionality reduction with, for example, Principal Components Analysis (PCA), however, this can result in CCA components that a...

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Detalles Bibliográficos
Autores principales: Liu, Zhangdaihong, Whitaker, Kirstie J., Smith, Stephen M., Nichols, Thomas E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9262103/
https://www.ncbi.nlm.nih.gov/pubmed/35812221
http://dx.doi.org/10.3389/fnins.2022.851827

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9262103/
https://www.ncbi.nlm.nih.gov/pubmed/35812221
http://dx.doi.org/10.3389/fnins.2022.851827

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