Independent Component Analysis of Instantaneous Power-Based fMRI

In functional magnetic resonance imaging (fMRI) studies using spatial independent component analysis (sICA) method, a model of “latent variables” is often employed, which is based on the assumption that fMRI data are linear mixtures of statistically independent signals. However, actual fMRI signals...

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Detalles Bibliográficos
Autores principales: Zhong, Yuan, Zheng, Gang, Liu, Yijun, Lu, Guangming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3966410/
https://www.ncbi.nlm.nih.gov/pubmed/24738008
http://dx.doi.org/10.1155/2014/579652

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3966410/
https://www.ncbi.nlm.nih.gov/pubmed/24738008
http://dx.doi.org/10.1155/2014/579652

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