Extending Local Canonical Correlation Analysis to Handle General Linear Contrasts for fMRI Data

Local canonical correlation analysis (CCA) is a multivariate method that has been proposed to more accurately determine activation patterns in fMRI data. In its conventional formulation, CCA has several drawbacks that limit its usefulness in fMRI. A major drawback is that, unlike the general linear...

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Detalles Bibliográficos
Autores principales: Jin, Mingwu, Nandy, Rajesh, Curran, Tim, Cordes, Dietmar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2012
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3272863/
https://www.ncbi.nlm.nih.gov/pubmed/22461786
http://dx.doi.org/10.1155/2012/574971

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3272863/
https://www.ncbi.nlm.nih.gov/pubmed/22461786
http://dx.doi.org/10.1155/2012/574971

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