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Hi Dr. Greve,
Thank you for your comment.
I compared cortical thickness bewteen two groups. I have a question. What does the values mean in the "sig.table.dat" file (ex. 0.571)?
Good luck,
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Can you try running the ROI results with mri_glmfit? ie, if you ran aparcstats2table to get the ROI results you input to SPSS, then run
mri_glmfit --table table.dat --fsgd g1v4.fsgd --C group.diff.mtx --glmdir table.g1v4.glmdir
where table.dat is the result of aparcstats2table
Then look at the sig.table.dat
Oftentimes, the SPSS analysis is not doing exactly the same thing as the mri_glmfit analysis.
On 12/6/2019 11:25 AM, Gwang-Won Kim wrote:
External Email - Use Caution
Hi there,
I obtained results for right thickness using aparcstats2table.
Then, ANCOVA was used to compared right thickness between two group (age, sex, edu, ICV as covariates)using SPSS.
A group showed higher right thickness in the superior frontal gyrus compared with B group (p=0.001).
To see voxel-wise map in same data, I tried to process "mris_preporc", "mri_surf2surf", and "mri_glmfit"
But the group showed higher right thickness in the middle frontal gyrus compared with B group (p<0.005).
I don't understand why data is different.
In ROI analysis, the group showed higher right thickness in the superior frontal gyrus compared with B group, but the group showed higher right thickness in the middle frontal gyrus compared with B group in the voxel-wise map (p<0.005).
Please recommend me about it.
mris_preproc --fsgd g1v4.fsgd --target fsaverage --hemi rh --meas thickness --out rh.g1v4.thickness.00.mgh
mri_surf2surf --hemi rh --s fsaverage --sval rh.g1v4.thickness.00.mgh --fwhm 10 --cortex --tval rh.g1v4.thickness.10B.mgh
itmri_glmfit --y lh.g1v4.thickness.10B.mgh --fsgd g1v4.fsgd --C group.diff.mtx --surf fsaverage rh --cortex --glmdir rh.g1v4.glmdir
g1g4.fsgd (subjects 50)
Class Group1
Class Group2
Variables age sex edu ICV
Input eewe Group1 34 1 13 1753213
Input ffds Group2 32 1 13 1753213
Input erfg Group2 33 1 13 1753213
Input gdds Group1 31 2 12 1753213
group.diff.mtx
1 -1 0 0 0 0 0 0 0 0
mri_glmfit --table table.dat --fsgd g1v4.fsgd --C group.diff.mtx --glmdir table.g1v4.glmdir
where table.dat is the result of aparcstats2table
Then look at the sig.table.dat
Oftentimes, the SPSS analysis is not doing exactly the same thing as the mri_glmfit analysis.
On 12/6/2019 11:25 AM, Gwang-Won Kim wrote:
External Email - Use Caution
Hi there,
I obtained results for right thickness using aparcstats2table.
Then, ANCOVA was used to compared right thickness between two group (age, sex, edu, ICV as covariates)using SPSS.
A group showed higher right thickness in the superior frontal gyrus compared with B group (p=0.001).
To see voxel-wise map in same data, I tried to process "mris_preporc", "mri_surf2surf", and "mri_glmfit"
But the group showed higher right thickness in the middle frontal gyrus compared with B group (p<0.005).
I don't understand why data is different.
In ROI analysis, the group showed higher right thickness in the superior frontal gyrus compared with B group, but the group showed higher right thickness in the middle frontal gyrus compared with B group in the voxel-wise map (p<0.005).
Please recommend me about it.
mris_preproc --fsgd g1v4.fsgd --target fsaverage --hemi rh --meas thickness --out rh.g1v4.thickness.00.mgh
mri_surf2surf --hemi rh --s fsaverage --sval rh.g1v4.thickness.00.mgh --fwhm 10 --cortex --tval rh.g1v4.thickness.10B.mgh
itmri_glmfit --y lh.g1v4.thickness.10B.mgh --fsgd g1v4.fsgd --C group.diff.mtx --surf fsaverage rh --cortex --glmdir rh.g1v4.glmdir
g1g4.fsgd (subjects 50)
Class Group1
Class Group2
Variables age sex edu ICV
Input eewe Group1 34 1 13 1753213
Input ffds Group2 32 1 13 1753213
Input erfg Group2 33 1 13 1753213
Input gdds Group1 31 2 12 1753213
group.diff.mtx
1 -1 0 0 0 0 0 0 0 0
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