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Parallel group independent component analysis for massive fMRI data sets

Independent component analysis (ICA) is widely used in the field of functional neuroimaging to decompose data into spatio-temporal patterns of co-activation. In particular, ICA has found wide usage in the analysis of resting state fMRI (rs-fMRI) data. Recently, a number of large-scale data sets have...

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Detalles Bibliográficos
Autores principales:	Chen, Shaojie, Huang, Lei, Qiu, Huitong, Nebel, Mary Beth, Mostofsky, Stewart H., Pekar, James J., Lindquist, Martin A., Eloyan, Ani, Caffo, Brian S.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2017
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5344430/ https://www.ncbi.nlm.nih.gov/pubmed/28278208 http://dx.doi.org/10.1371/journal.pone.0173496

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