Hi all.
I'm using Qdec to compare two groups of patients, and I'm wondering why the vertex with the highest p-value in the clusters changes when the threshold is changed? When lowering the threshold, the significant area should increase, but intuitively, the vertex corresponding to the area with the maximum p-value should remain the same inside the cluster? I'm using the Monte Carlo z-simulation method to remove false positive.
Regards, Nikolas
the results of the monte carlo z-simulation methods produces clusters where each vertex within a cluster has the same p-value, so in this case there is no single vertex with the highest value, but the code which is used to find the vertex with the highest value (which is valid to run in cases where blobs are present) still finds something (not sure why it changes, i'd have to look at the finding algorithm, but it doesnt matter in any case).
n.
On Fri, 2011-09-30 at 08:25 +0200, Nikolas Borrel-Jensen wrote:
Hi all.
I'm using Qdec to compare two groups of patients, and I'm wondering why the vertex with the highest p-value in the clusters changes when the threshold is changed? When lowering the threshold, the significant area should increase, but intuitively, the vertex corresponding to the area with the maximum p-value should remain the same inside the cluster? I'm using the Monte Carlo z-simulation method to remove false positive.
Regards, Nikolas _______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
Thanks for the reply! Is it then possible in Qdec to compute the average thickness of the gray matter in the significant areas, and can the data be exported? Right now, I'm copying the data (for a single vertex) from the shell and parsing it in Matlab, which is cumbersome.
Kind regards, Nikolas
freesurfer@nmr.mgh.harvard.edu