Comparison of IVA and GIG-ICA in Brain Functional Network Estimation Using fMRI Data

Spatial group independent component analysis (GICA) methods decompose multiple-subject functional magnetic resonance imaging (fMRI) data into a linear mixture of spatially independent components (ICs), some of which are subsequently characterized as brain functional networks. Group information guide...

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Detalles Bibliográficos
Autores principales: Du, Yuhui, Lin, Dongdong, Yu, Qingbao, Sui, Jing, Chen, Jiayu, Rachakonda, Srinivas, Adali, Tulay, Calhoun, Vince D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5437155/
https://www.ncbi.nlm.nih.gov/pubmed/28579940
http://dx.doi.org/10.3389/fnins.2017.00267

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5437155/
https://www.ncbi.nlm.nih.gov/pubmed/28579940
http://dx.doi.org/10.3389/fnins.2017.00267

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