A Novel Feature-Map Based ICA Model for Identifying the Individual, Intra/Inter-Group Brain Networks across Multiple fMRI Datasets

Independent component analysis (ICA) has been widely used in functional magnetic resonance imaging (fMRI) data analysis to evaluate functional connectivity of the brain; however, there are still some limitations on ICA simultaneously handling neuroimaging datasets with diverse acquisition parameters...

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Detalles Bibliográficos
Autores principales: Wang, Nizhuan, Chang, Chunqi, Zeng, Weiming, Shi, Yuhu, Yan, Hongjie
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/PMC5596109/
https://www.ncbi.nlm.nih.gov/pubmed/28943838
http://dx.doi.org/10.3389/fnins.2017.00510

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5596109/
https://www.ncbi.nlm.nih.gov/pubmed/28943838
http://dx.doi.org/10.3389/fnins.2017.00510

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