Hi Heidi, I think this is what you need:
csdbase.sig.cluster.mgh - the sig volume corrected for multiple comparisons on a cluster-wise basis. The value at each voxel is the -log10(p), where p is the pvalue of the cluster at that voxel. If that voxel does not belong to a cluster, its value will be 0.
This info can be found by running mri_glmfit-sim with the --help option
doug
Jacobs H (NP) wrote:
Hi FreeSurfers,
This is more a visualization question. I did the cortical thickness analyses on my data and compared my two groups statistically. After that I ran the mri_glmfit-sim to correct for multiple comparisons using the cluster correction. When I visualize the results, each cluster has its own color. However, I would like to present the original sig.mgh file (where each vertex has received a significance value according to the color table) minus the clusters that did not survive the correction. How should I do that?
Thank you very much!
Best regards Heidi
*Heidi Jacobs, MSc.* /PhD student Faculty of Health, Medicine and Life Sciences/ /School for Mental Health and Neurosciences/ /Alzheimer Center Limburg/ /Division Cognitive Neuropsychiatry and Clinical Neurosciences /_h.jacobs@maastrichtuniversity.nl mailto:h.jacobs@maastrichtuniversity.nl _www.maastrichtuniversity.nl http://www.maastrichtuniversity.nl/
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