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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Bibliographische Detailangaben
Veröffentlicht in:Front Neurosci
Hauptverfasser: Wang, Nizhuan, Chang, Chunqi, Zeng, Weiming, Shi, Yuhu, Yan, Hongjie
Format: Artigo
Sprache:Inglês
Veröffentlicht: Frontiers Media S.A. 2017
Schlagworte:
Neuroscience
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5596109/
https://ncbi.nlm.nih.gov/pubmed/28943838
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2017.00510
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