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

Internet

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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