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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Опубликовано в: :Front Neurosci
Главные авторы: Bi, Xia-an, Sun, Qi, Zhao, Junxia, Xu, Qian, Wang, Liqin
Формат: Artigo
Язык:Inglês
Опубликовано: Frontiers Media S.A. 2018
Предметы:
Neuroscience
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC6018085/
https://ncbi.nlm.nih.gov/pubmed/29970984
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2018.00413
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