A Constrained ICA-EMD Model for Group Level fMRI Analysis

Independent component analysis (ICA), being a data-driven method, has been shown to be a powerful tool for functional magnetic resonance imaging (fMRI) data analysis. One drawback of this multivariate approach is that it is not, in general, compatible with the analysis of group data. Various techniq...

Descripción completa

Detalles Bibliográficos
Autores principales: Wein, Simon, Tomé, Ana M., Goldhacker, Markus, Greenlee, Mark W., Lang, Elmar W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7175031/
https://www.ncbi.nlm.nih.gov/pubmed/32351349
http://dx.doi.org/10.3389/fnins.2020.00221

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7175031/
https://www.ncbi.nlm.nih.gov/pubmed/32351349
http://dx.doi.org/10.3389/fnins.2020.00221

Ejemplares similares