Dear experts,
I am relatively new to fMRIPrep and have run it on my data using the following command:
docker run -ti --rm \
-v ${sour_dir}:/data:ro \
-v ${targ_dir}:/out \
-v ${work_dir}:/work \
-u $(id -u):$(id -g) \
-v ${TFDIR}:/opt/templateflow \
-v ${FSLICENSE}:/opt/freesurfer/license.txt \
-e TEMPLATEFLOW_HOME=/opt/templateflow \
nipreps/fmriprep:25.2.5 \
/data /out/fmriprep participant \
-w /work --fs-license-file /opt/freesurfer/license.txt --nthreads 10 \
--output-spaces MNI152NLin6Asym:res-2 fsaverage:den-10k
After reading the documentation and inspecting the outputs, I have a few questions regarding the underlying workflows:
- Handling of dummy scans
As far as I understand, dummy scans (non-steady-state volumes) are not removed from the BOLD data but are instead indicated in the confounds.tsv file. Do these dummy scans affect subsequent processing steps? For example, do they influence the PCA decomposition when performing CompCor? In post-processing, is the recommended way to account for dummy scans to include the corresponding columns in the design matrix (or regress them out)?
- Slice timing correction (STC)
Is STC performed on the raw (input) BOLD data or on the motion-corrected BOLD data?
- Denoising in standard vs. native space
By default, the preprocessed BOLD data are resampled to standard space. Given that these outputs are only minimally preprocessed and additional denoising is typically warranted, is it recommended to perform denoising procedures in standard space while the confounding signals are derived in native space?
- Resolution selection for registration targets
The --output-spaces option specifies the resampling target. How does fMRIPrep select the registration target? For example, in the command above, I requested the BOLD data to be resampled to the res-2 resolution of the MNI152NLin6Asym template. Which resolution of that template is used to derive the registration warp field? This question might become more important when using custom templates.
Thank you very much for your time and guidance.
Best regards,
Yang Hu