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Configure confound regression for postprocessing

Source: R/setup_postprocess.R
setup_confound_regression.Rd

This function configures voxelwise regression of nuisance confounds from fMRI data. Confounds are typically drawn from the fMRIPrep confounds file. Users can select confounds to be temporally filtered to match the BOLD data (e.g., continuous-valued regressors) and those that should not be filtered (e.g., binary spike regressors).

Usage

setup_confound_regression(ppcfg = list(), fields = NULL)

Arguments

ppcfg

a postprocessing configuration list (nested within scfg$postprocess)

fields

A character vector of fields to be prompted for. If NULL, all fields will be prompted.

Value

A modified version of ppcfg with the $confound_regression entry populated.

Details

Regression is applied on a voxelwise basis. Filtered regressors typically include motion parameters, CompCor components, DVARS, or global signal. Unfiltered regressors usually include 0/1 indicators of outlier volumes.