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fMRIscrub: Scrubbing and Other Data Cleaning Routines for fMRI
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.
Getting started
Browse package contents
Package details |
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| Author | Amanda Mejia [aut, cre], John Muschelli [aut] (<https://orcid.org/0000-0001-6469-1750>), Damon Pham [aut] (<https://orcid.org/0000-0001-7563-4727>), Daniel McDonald [ctb], Fatma Parlak [ctb] |
| Maintainer | Amanda Mejia <mandy.mejia@gmail.com> |
| License | GPL-3 |
| Version | 0.14.5 |
| URL | https://github.com/mandymejia/fMRIscrub |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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