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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...
Autores principales: | Zhong, Yuan, Zheng, Gang, Liu, Yijun, Lu, Guangming |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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Materias: | |
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 |
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