Analysis of Residual Dependencies of Independent Components Extracted from fMRI Data

Independent component analysis (ICA) of functional magnetic resonance imaging (fMRI) data can be employed as an exploratory method. The lack in the ICA model of strong a priori assumptions about the signal or about the noise leads to difficult interpretations of the results. Moreover, the statistica...

Descripción completa

Detalles Bibliográficos
Autores principales: Vanello, N., Ricciardi, E., Landini, L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4709923/
https://www.ncbi.nlm.nih.gov/pubmed/26839530
http://dx.doi.org/10.1155/2016/2961727

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4709923/
https://www.ncbi.nlm.nih.gov/pubmed/26839530
http://dx.doi.org/10.1155/2016/2961727

Ejemplares similares