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. Author manuscript; available in PMC: 2019 Dec 13.
Published in final edited form as: Nat Rev Neurosci. 2017 Jan 5;18(2):115–126. doi: 10.1038/nrn.2016.167
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.