Try using the correction for multiple comparisons (mri_glmfit-sim). Set the CWP threshold to 1.0 to get all the clusters. It will create a table with GI values for each cluster. Run mri_glmfit-sim with --help and/or look on line to get more info
On 10/14/2020 3:55 PM, Basavaraju, Rakshathi wrote:
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I have run a vertex based gyrification index analysis. Now I want to create a mask/ROI from the cluster of vertices which are above the threshold of 3 in sig.mgh file (p<0.001). Which command should I use for this purpose? Is it mri_mask? or mri_vol2roi?
Next how do I extract the GI value (a numeric) from the above obtained ROI from individual scans?
If anyone has done anything similar with thickness or volume (which I am sure many would have done), it would be helpful if you guided me. Eagerly waiting for your response.
Thanks, Dr. Rakshathi Basavaraju (MD Psychiatry) Postdoctoral Research Scientist Taub Institute for Research on Alzheimer's Disease and the Aging Brain Columbia University Medical Centre 622 West, 168th Street, New York - 10032 E-Mail: rb3419@cumc.columbia.edu mailto:rb3419@cumc.columbia.edu _https://indiaalliance.org/fellow/rakshathi-basavaraju_
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