Returns the names and short descriptions of the predefined confound sets
usable with confound_set().
Examples
list_confound_sets()
#> set
#> 1 motion6
#> 2 motion12
#> 3 motion24
#> 4 global3
#> 5 9p
#> 6 36p
#> 7 acompcor
#> 8 tcompcor
#> 9 compcor
#> 10 cosine
#> 11 outliers
#> 12 dvars
#> 13 std_dvars
#> 14 raw_dvars
#> 15 non_std_dvars
#> 16 vx_wisestd_dvars
#> 17 fd
#> 18 legacy_default
#> description
#> 1 Rigid-body motion (6 params)
#> 2 Motion + first derivatives (12)
#> 3 Friston 24-parameter motion model (24)
#> 4 CSF, WM, and global signals (3)
#> 5 9-parameter model: motion6 + CSF + WM + GlobalSignal (9)
#> 6 36-parameter model: motion24 + globals with derivs/quadratics (36)
#> 7 Anatomical CompCor components (use n to limit)
#> 8 Temporal CompCor components (use n to limit)
#> 9 Both anatomical and temporal CompCor (use n to limit)
#> 10 Discrete cosine basis regressors
#> 11 FD/RMSD, motion spike regressors, and nonsteady-state outliers
#> 12 Standardized DVARS only (std_dvars)
#> 13 Standardized DVARS only (std_dvars)
#> 14 Raw/non-standardized DVARS (dvars)
#> 15 Explicit non-standardized DVARS (non_std_dvars)
#> 16 Voxel-wise standardized DVARS (vx_wisestd_dvars)
#> 17 Framewise displacement only
#> 18 Legacy read_confounds() default = former DEFAULT_CVARS2 (26 canonical names)