Dear Doug and experts
Using DODS model in QDEC, I've found 2 significant clusters in whole-brain cortical thickness analysis between controls and patients (2 group, 1 factor), controlling for the effect of age (one covariate). My question is how can I obtain p value for interaction term (group*age) in each cluster? Is it possible to do that analysis in FreeSurfer pipeline? Or should I extract individual cortical thickness of each cluster and test this interaction term using statistics software (e.g., SPSS)?
Thank you in advance for your help. Kim
depends on how you want to do it. You can create a contrast to test the interaction (probably 0 0 1 -1) then look for significant clusters. Or you can extract the thicknesses out of the clustter for each subject (already there with the y.ocn file), then do a post hoc test in SPSS, matlab, etc
doug
On 12/23/2013 03:39 AM, jh kim wrote:
Dear Doug and experts
Using DODS model in QDEC, I've found 2 significant clusters in whole-brain cortical thickness analysis between controls and patients (2 group, 1 factor), controlling for the effect of age (one covariate). My question is how can I obtain p value for interaction term (group*age) in each cluster? Is it possible to do that analysis in FreeSurfer pipeline? Or should I extract individual cortical thickness of each cluster and test this interaction term using statistics software (e.g., SPSS)?
Thank you in advance for your help. Kim
Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
Dear Doug
Thank you
Kim
2013/12/24 Douglas N Greve greve@nmr.mgh.harvard.edu
depends on how you want to do it. You can create a contrast to test the interaction (probably 0 0 1 -1) then look for significant clusters. Or you can extract the thicknesses out of the clustter for each subject (already there with the y.ocn file), then do a post hoc test in SPSS, matlab, etc
doug
On 12/23/2013 03:39 AM, jh kim wrote:
Dear Doug and experts
Using DODS model in QDEC, I've found 2 significant clusters in whole-brain cortical thickness analysis between controls and patients (2 group, 1 factor), controlling for the effect of age (one covariate). My question is how can I obtain p value for interaction term (group*age) in each cluster? Is it possible to do that analysis in FreeSurfer pipeline? Or should I extract individual cortical thickness of each cluster and test this interaction term using statistics software (e.g., SPSS)?
Thank you in advance for your help. Kim
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