Hi Doug,
thank you for your reply. It is unusual as I also get a significant result in SPSS for a non-significant cluster in mri-glmfit. Just to make sure I am doing things correctly - I am interpreting each column in the xxx.y.ocn.dat file as a cluster in the xxx.sig.cluster.summary file (in numerical order) so the first column in the y.ocn.dat file corresponds to cluster 1 in the sig.cluster.summary file. I do have matlab so if you have the code, that would be great.
Thanks so much again for your help,
Sinead
On 9 December 2013 19:52, Douglas Greve greve@nmr.mgh.harvard.edu wrote:
That is the right file to use, and one would expect to see significant results. Are you sure you are using exactly the same model? If you have matlab, I can give you some code to do the analysis using the exact model that mri_glmfit uses.
doug
On 12/9/13 10:43 PM, Sinead Kelly wrote:
Dear Freesurfer users,
I have just ran mri-glmfit on cortical thickness data and corrected for multiple comparisons using Monte Carlo Simulation. I have significant clusters (cwp < .05), however, when I analyse the average thickness measures from the xxx.y.ocn.dat file in SPSS, there are no significant differences between my groups. I'm not sure if I am using the correct approach to extract thickness values for the significant clusters.
Thank you for your help,
Sinead
-- Sinead Kelly Neuropsychiatric Genetics Group Trinity Centre St. James's Hospital Dublin 8
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