Greetings FSL Community,
I am fairly new to diffusion image processing and FSL so I apologize in advance for any newbie questions. I have run TBSS on a very large (~300 subjects) clinical sample, which has been split into two data sets based on age. The data sets are multi-site, but all scanned on a 3T scanner. For each group, nearly the entire white matter skeleton is significant (this is also true for MD, AD and RD, although not quite as significant) and I'm worried that this is too good to be true. I am wondering if I am missing some component of the analysis, or perhaps I am not accounting for something I should be with multi-site data. The data were all preprocessed and the TBSS pipeline was followed from the FSL wiki page. Can anyone provide some insight into this?
Secondly, I'd like to include motion as a covariate in my analysis and I'm not sure the best way go about accounting for motion in my model. Should I use fsl_get_motion to extract motion estimates? What values will this return? Any help would be greatly appreciated and thanks in advance!
Best,
Stephanie
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