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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