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Co-Authored-By: Oscar Esteban <[email protected]>
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docs/outputs.rst

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- ``framewise_displacement`` - is a quantification of the estimated bulk-head motion calculated using
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formula proposed by [Power2012]_;
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- ``rmsd`` - is a quantification of the estimated relative (frame-to-frame) bulk head motion
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calculated using the root mean square (RMS) approach of [Jenkinson2002]_;
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calculated using the :abbr:`RMS (root mean square)` approach of [Jenkinson2002]_;
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- ``dvars`` - the derivative of RMS variance over voxels (or :abbr:`DVARS (derivative of
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RMS variance over voxels)`) [Power2012]_;
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- ``std_dvars`` - standardized :abbr:`DVARS (derivative of RMS variance over voxels)`;
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.. [Jenkinson2002] Jenkinson M, Bannister P, Brady M, Smith S. Improved optimization for the
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robust and accurate linear registration and motion correction of brain images. Neuroimage.
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2002. doi:`10.1016/s1053-8119(02)91132-8 <https://doi.org/10.1016/s1053-8119(02)91132-8>`
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2002. doi:`10.1016/s1053-8119(02)91132-8 <https://doi.org/10.1016/s1053-8119(02)91132-8>`__.
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.. [Lindquist2019] Lindquist, MA, Geuter, S, and Wager, TD, Caffo, BS,
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Modular preprocessing pipelines can reintroduce artifacts into fMRI data.

fmriprep/workflows/bold/confounds.py

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movpar_file
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SPM-formatted motion parameters file
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rmsd_file
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Jenkinson framewise displacement file
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Framewise displacement as measured by ``fsl_motion_outliers``.
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skip_vols
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number of non steady state volumes
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t1w_mask

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