Non-linear ICA Analysis of Resting-State fMRI in Mild Cognitive Impairment

Compared to linear independent component analysis (ICA), non-linear ICA is more suitable for the decomposition of mixed components. Existing studies of functional magnetic resonance imaging (fMRI) data by using linear ICA assume that the brain's mixed signals, which are caused by the activity o...

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Detalles Bibliográficos
Autores principales: Bi, Xia-an, Sun, Qi, Zhao, Junxia, Xu, Qian, Wang, Liqin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6018085/
https://www.ncbi.nlm.nih.gov/pubmed/29970984
http://dx.doi.org/10.3389/fnins.2018.00413

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6018085/
https://www.ncbi.nlm.nih.gov/pubmed/29970984
http://dx.doi.org/10.3389/fnins.2018.00413

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