norm moves 4D and 3D images from input bold space into standard template, usually MNI(2mm or 1mm). This require more disk space.


Ordinarily, each module will detect whether a particular analysis has run to completion before beginning it. If re-running is disabled, then the module will immediately skip to the next stage of analysis. Otherwise, any completed analyses will be repeated.If you change the run parameters, you should rerun any modules downstream of the change.:

# Skip processing steps if the pipeline detects the expected output

# Repeat all processing steps


Modules often produce numerous intermediate temporary files and images during the course of an analysis. In many cases, these temporary files are undesirable and unnecessarily consume disk space. If cleanup is enabled, any files stamped as temporary will be deleted when a module successfully runs to completion. If a module fails to detect the output that it expects, then temporary files will be retained to facilitate error diagnosis.:

# Remove temporary files

# Retain temporary files

Expected output

The main outputs of norm include ::
  • prefix_std.nii.gz the residulaised bold signal in template space
  • prefix_maskStd.nii.gz the brain mask in template space
  • prefix_referenceVolumeBrainStd.nii.gz reference volume brain in template space
  • template.nii.gz the template image, usually MNI

Other nifti image outputs depend on derivattive outputs such reho and alff

There are quality control measures obtained to show the qulaity of registration to template space::
  • prefix_seq2std.png picture of coregiratipon of template and BOLD signal
  • prefix_normCoverage.txt Coverage index between template and reference volume
  • prefix_normCrossCorr.txt Cross correlation between template and reference volume
  • prefix_normDice.txt Dice Coefficient between template and reference volume
  • prefix_normJaccard.txt Jaccard Coefficient between template and reference volume