Hi, all
I am trying to model my fMRI data in FEAT. My data is a little bit
different from the average in that my data collection is non continuous.
Namely, in an experiment with TR=2s, the fMRI data are collected in the
2nd, 5th, 8th, and 11th 8 seconds. While in the 1st, 3rd, 4th, 6th,7th,
9th, 10th and 12th 8 seconds, no fMRI data are collected.
Are there anything that I should pay attention to for modeling this
kind of fMRI dataset in FEAT? Or just model this data as the average
fMRI data?
Thanks
CHen
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