Hi Freesurfer Experts,
I have some questions regarding mri_glmfit - some basic and some not so
basic - that I hope you can help me with.
1.) I want to do a thickness analysis looking at the effect of a continuous
variable on thickness while regressing out effects of both continuous and
categorical variables. Let's just say I have one continuous variable of
interest, one to regress out, and one categorical variable (with four
groups) to regress out. From reading other posts, it seems that I should
make my categorical variables into a class - if I do this will this
contrast look at the effect of my continuous variable while regressing out
effects from the other variables (including group)? This is assuming I am
running a DOSS analysis
0 0 0 0 0 1
2.) In the cluster corrected significant image, I am a bit confused on what
the positive and negative significance values represent. If I was looking
at group differences - would red indicate that the first group > second
group, and blue indicate first group < second group (that is, first group
with increased or decreased thickness compared to second group)?
3.) Lastly, I see that you can use mris_preproc and glmfit to look at
volume. Does this look at volume in a voxel-based way? That is, is it
comparing volume on a voxel level? If so, would the correct commands be:
mris_preproc --fsgd FSGD FILE --target fsaverage --hemi lh --meas volume
--out OUT.mgh
mri_glmfit --y MGH FILE --fsgd FSGD FILE doss --C CONTRAST --surf fsaverage
lh --glmdir GLM DIR
Would I need to smooth the data?
Thanks for any and all help!
Danielle
--
Ph.D. Program in Behavioral Neuroscience
Boston University School of Medicine L-815
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