Dear all,
I have been preprocessing two task-based fMRI sequences with fmriprep and I have noticed that the output (confonds_timeseries.tsv) of several participants marks a significant proportion of volumes as motion outliers, with the default parameters being FD > 0.5 mm or standardized DVARS > 1.5.
Upon examining the output HTML files, It appears that these participants have high DVARS values for most of the volumes:
With my limited experience with fmriprep, I did not expect such high DVARS values coming from participants who seemed relatively well-behaved in terms of motion. What could be the causes of such high variation in signal volume to volume? Would it be a reasonable approach to exclude participants based on mean FD (>0.25 or >0.50) and assume that a denoising pipeline will be able to handle noise unrelated to the task?
Thank you,