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Hi FS team,

I am running a morphometry study on a public dataset with most, but not all, 
subjects having a T1 and T2 (about 75% have both, remaining only have T1). To 
get the best surfaces possible, I have been including the T2 in recon-all 
process when able to. However, this means subjects with only a T1 have 
underwent a different processing workflow. ICV is an important predictor in my 
study, and I was wondering if the presence of the T2 image in recon-all should 
impact the ICV estimates? As I see it, I have the following options:

1) T2 is a factor, so I use only include T1 in recon-all so all subjects have 
the same pipeline
2) T2 is a factor, so I harmonize the data as I would with data from different 
sites/scanners
3) T2 is a factor, so I only analyze subjects with T1 + T2
4) T2 is not a factor, just use all subjects with no special considerations

I am also running vertex-wise surface based morphometry, where I imagine pial 
refinements could be more impactful. I suppose in that case, I should harmonize 
the morphometry data, but was curious if you think something like that is 
necessary.

Thank you,
Steven Meisler

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