A hierarchical Bayesian model to find brain-behaviour associations in incomplete data sets

Canonical Correlation Analysis (CCA) and its regularised versions have been widely used in the neuroimaging community to uncover multivariate associations between two data modalities (e.g., brain imaging and behaviour). However, these methods have inherent limitations: (1) statistical inferences abo...

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Detalles Bibliográficos
Autores principales: Ferreira, Fabio S., Mihalik, Agoston, Adams, Rick A., Ashburner, John, Mourao-Miranda, Janaina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Academic Press 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8861855/
https://www.ncbi.nlm.nih.gov/pubmed/34971767
http://dx.doi.org/10.1016/j.neuroimage.2021.118854

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8861855/
https://www.ncbi.nlm.nih.gov/pubmed/34971767
http://dx.doi.org/10.1016/j.neuroimage.2021.118854

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