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Do any of these examples
https://secure-web.cisco.com/1xXCaIIxRlmFmiJuTJbxdJBVn9Mf-MoaaUpeIjtXwUbA2uUEL58KFK2-eUz189DT6KfN6A1UBsRPlpU676GHBGCAYZH5J5Yqw1nWzmz4SAMZKwcgMPOw8Xt9XVfLuAYzeMIHiK4F0WcGj2CGjWNXPvgcOfmTuGseYazfE5BBFVcsoD386MpUaAj0YQ-JzIAAKP8Q_tGa5GBe3aT6kk5MZdU5nNiN1g5Oo-SGeSy8AiIYeVgpKNqt3Jk9lwsENZrQ71JXt02GMLEqosVfSalCW4g/https%3A%2F%2Fsurfer.nmr.mgh.harvard.edu%2Ffswiki%2FFsgdExamples generalize to
your case? In particular, look at *Two Groups (One Factor/Two Levels),
One Covariate*
Yours would be one factor/three levels.
what do you mean by the group effect? Do you mean that you expect
different offsets for each group but the same thickness-score slope
across groups? If yes, then use DOSS. If you expect different slopes for
the groups, do you want to test for a difference in slopes across
groups or do you just want to test whether the mean slope is different
than 0?
On 8/14/2023 2:17 PM, Finn, Quentin wrote:
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Freesurfer experts,
I have some surface data (say thickness) that I'd like to correlate
with a neuropsyche measure (so one value per subject, a continuous
variable)
This is complicated, though, by the presence of a (discrete) covariate
that splits my cohort up into three groups (for ease of explanation,
say the groups are: young, middle, old).
I'm hoping to use mri_glmfit to see where the neuropsyche is a
significant predictor of thickness while controlling for the group
effect, but I'm struggling to set up the contrast / fsgd matrix
Is there a way to accomplish this in mri_glmfit?
thanks so much for your help!
Houston Methodist. Leading Medicine.
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