Investigations into resting-state connectivity using independent component analysis

Inferring resting-state connectivity patterns from functional magnetic resonance imaging (fMRI) data is a challenging task for any analytical technique. In this paper, we review a probabilistic independent component analysis (PICA) approach, optimized for the analysis of fMRI data, and discuss the r...

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Bibliografische gegevens
Hoofdauteurs: Beckmann, Christian F, DeLuca, Marilena, Devlin, Joseph T, Smith, Stephen M
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: The Royal Society 2005
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Research Article
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC1854918/
https://ncbi.nlm.nih.gov/pubmed/16087444
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rstb.2005.1634
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