Processing step | Reason | Options [suboptions] | Number of plausible options |
---|---|---|---|
Motion correction | Correct for head motion during scanning | • ‘Interpolation’ [linear or sinc] • ‘Reference volume’ [single or mean] |
4 |
Slice timing correction | Correct for differences in acquisition timing of different slices | ‘No’, ‘before motion correction’ or ‘after motion correction’ | 3 |
Field map correction | Correct for distortion owing to magnetic susceptibility | ‘Yes’ or ‘no’ | 2 |
Spatial smoothing | Increase SNR for larger activations and ensure assumptions of GRF theory | ‘FWHM’ [4 mm, 6 mm or 8 mm] | 3 |
Spatial normalization | Warps an individual brain to match a group template | ‘Method’ [linear or nonlinear] | 2 |
High-pass filter | Remove low-frequency nuisance signals from data | ‘Frequency cut-off’ [100 s or 120 s] | 2 |
Head motion regressors | Remove remaining signals owing to head motion via statistical model | ‘Yes’ or ‘no’ [if yes: 6/12/24 parameters or single time point ‘scrubbing’ regressors] | 5 |
Haemodynamic response | Account for delayed nature of haemodynamic response to neuronal activity | • ‘Basis function’ [‘single-gamma’ or ‘double-gamma’] • ‘Derivatives’ [‘none’, ‘shift’ or ‘dispersion’] |
6 |
Temporal autocorrelation model | Model for the temporal autocorrelation inherent in fMRI signals | ‘Yes’ or ‘no’ | 2 |
Multiple-comparison correction | Correct for large number of comparisons across the brain | ‘Voxel-based GRF’, ‘cluster-based GRF’, ‘FDR’ or ‘non-parametric’ | 4 |
Total possible workflows | 69,120 |
FDR, false discovery rate; FWHM, full width at half maximum; GRF, Gaussian random field; SNR, signal-to-noise ratio.