Data-driven fMRI denoising with projection scrubbing (Pham et al (2021) <arXiv:2108.00319>). 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 and DVARS are also applicable to other outlier detection tasks involving high-dimensional data.
Package details |
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Maintainer | Amanda Mejia <mandy.mejia@gmail.com> |
License | GPL-3 |
Version | 0.8.5 |
URL | https://github.com/mandymejia/fMRIscrub |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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