Hello,
I am trying to run TBSS analysis on some subjects and I am interested at
running ROI based stats.
Following are the two approaches that I have tried
1) Run all the processing as recommended until tbss_4_prestats, create a
mask to mask out regions that are not of any interest to me from the
skeleton, use the masked skeleton when running stats. (randomise)
2) Mask "FA images" itself and feed in the masked images into TBSS pipeline.
Ofcourse mean_FA image doesnt align well with MNI152 image but this option
helps me to observe more differences between the two groups that I am
trying to compare.
Reading through previous posts I know that there are groups that are using
the first approach for ROI based TBSS. I was just wondering if someone could
help me know if the second approach was correct ?
Thank you in advance
Sincerely,
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