Improving the Sensitivity of Task-Related Functional Magnetic Resonance Imaging Data Using Generalized Canonical Correlation Analysis

General Linear Modeling (GLM) is the most commonly used method for signal detection in Functional Magnetic Resonance Imaging (fMRI) experiments, despite its main limitation of not taking into consideration common spatial dependencies between voxels. Multivariate analysis methods, such as Generalized...

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Detalles Bibliográficos
Autores principales: Kosteletou, Emmanouela, Simos, Panagiotis G., Kavroulakis, Eleftherios, Antypa, Despina, Maris, Thomas G., Liavas, Athanasios P., Karakasis, Paris A., Papadaki, Efrosini
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8712565/
https://www.ncbi.nlm.nih.gov/pubmed/34970129
http://dx.doi.org/10.3389/fnhum.2021.771668

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8712565/
https://www.ncbi.nlm.nih.gov/pubmed/34970129
http://dx.doi.org/10.3389/fnhum.2021.771668

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