Dear All,
I hope you're doing well.
I have a quick question regarding the GROUP_LABEL
parameter in the pet-volume
pipeline.
GROUP_LABEL
is the label of the group that is associated to the DARTEL template that you had created when running the t1-volume
pipeline.When I ran the t1-volume
pipeline, I specified three groups (AD, MCI, CN) based on diagnosis. Now, for pet-volume
, the subjects in each group are not identical in number (though the labels are the same).
Since pet-volume
references the same DARTEL template from t1-volume
, does the mismatch in group sizes affect the analysis? Or is it sufficient to use the same GROUP_LABEL
as before, even if some subjects are excluded in the PET data?
Thank you for your help!
Best regards,
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Hi, Dear Alice,
Thank you for your response.
Regarding your question: in the PET dataset (subjects with both T1 and PET), the number of subjects per group (AD, MCI, CN) is roughly 60-70% of what was processed in the t1-volume
pipeline.
Furthermore, I’d like to clarify a few things before proceeding with the pet-volume
pipeline:
1. Does the definition of GROUP_LABEL
impact the validity of inter-group comparisons (e.g., AD vs. CN or MCI vs. AD, etc.)?
Since I created separate templates per group (AD, MCI, CN) using t1-volume
, I’m concerned that using different DARTEL templates for each group of subjects may affect the reliability of comparisons across them.
Thanks & Best regards,
Shahzad
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