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A pooling-LiNGAM algorithm for effective connectivity analysis of fMRI data

The Independent Component Analysis (ICA)—linear non-Gaussian acyclic model (LiNGAM), an algorithm that can be used to estimate the causal relationship among non-Gaussian distributed data, has the potential value to detect the effective connectivity of human brain areas. Under the assumptions that (a...

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Detalles Bibliográficos
Autores principales:	Xu, Lele, Fan, Tingting, Wu, Xia, Chen, KeWei, Guo, Xiaojuan, Zhang, Jiacai, Yao, Li
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2014
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4186480/ https://www.ncbi.nlm.nih.gov/pubmed/25339895 http://dx.doi.org/10.3389/fncom.2014.00125

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