Hi Amirhossein,
For GLM there is a way to compute pair-wise difference when stacking (probably
a flag to mri_stack or preproc ) . You will end up having 1 frame per
participant.
For LME I take this off the list as it gets very detailed about your specific
setup and is not really a FreeSurfer
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Hi Martin,
I ran longitudinal pipeline on all time points so I have one template. For
the GLM approach I first calculated pc1 for baselineVs placebo (either day1
or day2) and got the lh(rh).bl-pl.thickness-pc1.fwhm10.mgh then calculated
pc1 for bl vs
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Thanks Martin. I assume in GLM approach I should calculate change for
session 1 and 2 and then 3 and 4 and then run difference of difference.
We actually randomized the order so half day1 is plcebo and half drug. So I
just need to be caretabout the
Hi Amirhossein,
So you have session 1 , placebo , session 2
Another day session 3, drug, session 4 ?
Again if this is for all subjects, easiest is to subtract session 2 from 1, and
4 from 3, to get thickness/volume differences for each condition. Then compute
the difference of the differences
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Thanks a lot Martin for the information.
We have actually 2 sessions of placebo for each subject. How do you suggest
to do the analysis including that data?
BR
On Mon, 30 Jan 2023 at 16:30, Reuter, Martin,Ph.D.
wrote:
> Hi Amirhossein,
>
> - If you
Hi Amirhossein,
- If you have two time points for all participants,
- and the time difference is the same for all
you can simply subtract the thickness (or volume) values per participant and
run a regular GLM. LME is a little overkill here.
In LME, you have one column of ones, and one of the
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Hi,
I have 2 sessions of data acquired in the same day for each participant
before and after the drug intake. I wonder how to analyse this with LME
tool. I create design matrix X in 2 columns, first all ones and second the
time differences(which are
