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Data-driven fMRI denoising with projection scrubbing (Pham et al (2022) doi:10.1016/j.neuroimage.2023.119972). Also includes routines for DVARS (Derivatives VARianceS) (Afyouni and Nichols (2018) doi:10.1016/j.neuroimage.2017.12.098), motion scrubbing (Power et al (2012) doi:10.1016/j.neuroimage.2011.10.018), aCompCor (anatomical Components Correction) (Muschelli et al (2014) doi:10.1016/j.neuroimage.2014.03.028), detrending, and nuisance regression. Projection scrubbing is also applicable to other outlier detection tasks involving high-dimensional data.
Citation | fMRIscrub citation info |
github.com/mandymejia/fMRIscrub | |
Bug report | File report |
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