Package fMRIscrub details

Scrubbing and Other Data Cleaning Routines for fMRI

Data-driven fMRI denoising with projection scrubbing (Pham et al (2021) ). Also includes routines for DVARS (Derivatives VARianceS) (Afyouni and Nichols (2018) ), motion scrubbing (Power et al (2012) ), aCompCor (anatomical Components Correction) (Muschelli et al (2014) ), detrending, and nuisance regression. Projection scrubbing and DVARS are also applicable to other outlier detection tasks involving high-dimensional data.

Maintainer: Amanda Mejia < mandy.mejia at >


From within R, enter citation('fMRIscrub')


If you have any problems with this package you can open a new issue or check the already existing ones here.

  Versions(Pending - no previous version)
To install this package, start R and enter:


# Default Install

# from GitHub
neuro_install('fMRIscrub', release = "stable", release_repo = "github")
neuro_install('fMRIscrub', release = "current", release_repo = "github")

More detailed installation instructions can be found here.


Initially submitted on October 13 2021 1:25PM
Last updated on October 13 2021 1:25PM
Package type standard
Source GitHub GitHub
Neuroconductor GitHub GitHub
DependsR (3.5.0)
ImportsMASS, e1071, pesel, robustbase, stats, utils, Rcpp
LinkingToRcpp, RcppArmadillo
Suggestscorpcor, cowplot, ciftiTools, knitr, rmarkdown, RNifti, ggplot2, ggpubr, ica, neurobase, oro.nifti, gridExtra, testthat (2.1.0), covr