Thank you so much!
This got me to the stage of having separate labels for each significant cluster, but I would like to extract the values from each subject to look at the raw data.
Do I have to use mri_label2label to move the label into each individual's space?
Can I use aparcstats2table to get a table of the individual values of the label? (It seems that this is set up for the segmentation data)
Thank you again!
On Mon, Jan 23, 2017 at 11:44 AM, Douglas N Greve <greve@nmr.mgh.harvard.edu
wrote:
Try mri_surfcluster. Run it with --help to get usage. You can set the threshold with --fdr. Make sure to use the --mask option passing it the mask.mgh from the qdec output
On 01/22/2017 07:56 PM, Katherine Damme wrote:
Hello Everyone,
Is there a way to extract the significant clusters as masks from significant group comparisons using qdec?
All I can seem to find is mri_glmfit-sim which doesn't quite replicate the QDEC FDR 0.05 output and doesn't seem to make anything that I could extract as a label, or hand drawing an ROI.
I am working with a longitudinal model of cortical thickness, and would like to extract the average thickness of each significant cluster to understand the change in thickness.
Thank you.
Kate Damme
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