qsiprep.workflows.dwi.confounds module

Calculate dwi confounds

qsiprep.workflows.dwi.confounds.init_dwi_confs_wf()[source]

This workflow calculates confounds for a dwi series, and aggregates them into a TSV file, for use as nuisance regressors in a GLM.

The following confounds are calculated, with column headings in parentheses:

  1. Framewise displacement, based on head-motion parameters (framewise_displacement)

  2. Estimated head-motion parameters, in mm and rad (trans_x, trans_y, trans_z, rot_x, rot_y, rot_z)

../_images/qsiprep-workflows-dwi-confounds-1.png

(Source code, png, svg, pdf)

Inputs:

  • sliceqc_file – dwi image, after the prescribed corrections (STC, HMC and SDC) when available.

  • motion_params – spm motion params

Outputs:

  • confounds_file – TSV of all aggregated confounds

  • rois_report – Reportlet visualizing white-matter/CSF mask used for aCompCor, the ROI for tCompCor and the dwi brain mask.

qsiprep.workflows.dwi.confounds.init_dwi_confs_wf()[source]

This workflow calculates confounds for a dwi series, and aggregates them into a TSV file, for use as nuisance regressors in a GLM.

The following confounds are calculated, with column headings in parentheses:

  1. Framewise displacement, based on head-motion parameters (framewise_displacement)

  2. Estimated head-motion parameters, in mm and rad (trans_x, trans_y, trans_z, rot_x, rot_y, rot_z)

../_images/qsiprep-workflows-dwi-confounds-2.png

(Source code, png, svg, pdf)

Inputs:

  • sliceqc_file – dwi image, after the prescribed corrections (STC, HMC and SDC) when available.

  • motion_params – spm motion params

Outputs:

  • confounds_file – TSV of all aggregated confounds

  • rois_report – Reportlet visualizing white-matter/CSF mask used for aCompCor, the ROI for tCompCor and the dwi brain mask.