On 8/11/2021 1:17 PM, Erik O'Hanlon wrote:
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Dear FS experts,
I have run the longitudinal pipeline on a dataset with three
timepoints. I am particularly interested in the longitudinal
hippocampal and amygdala data and want to run LME on these.
I've made the qdec table with the id age, sex and time between scans
etc. and have exported all the hippocamapal and amygdala volumes to
csv files to merge with demographic data.
Should I smooth the hippocampal and amygdala measures before running
the LME?
I'm not sure what you mean by smoothing here. The hippo and amyg
measures are just single numbers, so nothing to smooth.
Do I run Qcache and if so do I use
recon-all -long SubID_tp1 subIDbase-qcache
No, again, these are single numbers and qcache creates maps
In the LME wiki instructions it gives an example for the
mass-univariate approach on thickness. Is the study_average referring
to the fsaverage ?
Yes. You can create your own, but using fsaverage is fine.
Should I be using the ICV from the cross-sectional runs or the ICV
measures in the "long" folders which refer?
Use it from the long
Thanks and any help is very much appreciated.
Erik
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