I have resting-state fMRI images for children data and wanted to preprocess them using the afni_proc.py code. However, I was getting really confused as to which example I should follow since there’s about 7 examples for resting state. It got really overwhelming, with a lot of technical detail, so I was hoping to get some insight into which example might best suite my application.
To expand on Justin’s post a little, some of the details to provide might include:
voxel reasolution, TR
num runs, time points per run
multi-echo?
distortion correction data? (e.g. blip up/down)
physiological data
are you planning to incorporate FreeSurfer, possibly for ROIs
expected atlas to use for results
are subjects prone to motion?
do you plan to band pass?
is non-linear template registration desirable?
Thanks,
rick
The
National Institute of Mental Health (NIMH) is part of the National Institutes of
Health (NIH), a component of the U.S. Department of Health and Human
Services.