Hi Doug and others, I would like apply (Monte Carlo simulation) cluster correction (as opposed to the implemented vertex-wise FDR correction) on the results from a longitudinal study I analyzed using the LME toolbox. The design is unbalanced (different number of time points, from 1 to 4, per subject).
In this thread (http://www.mail-archive.com/freesurfer%40nmr.mgh.harvard.edu/msg35367.html) you, Doug, suggested, if I understand correctly: - concatenating the images using `mris_preproc --paired-diff` - smooth with the same kernel size as used in the lme analysis - running `mri_glmfit` on them with an fsgd file that uses the same covariates and the same contrast (excluding the interaction term with time) as used in the lme analysis - overwriting sig.mgh with the one from the lme analysis - running `mri_glmfit-sim --cache` How would I extend this to my case where I don't have pairwise images, but 1 image for some participants, for others up to 4? Thanks a lot, Janosch _______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer The information in this e-mail is intended only for the person to whom it is addressed. If you believe this e-mail was sent to you in error and the e-mail contains patient information, please contact the Partners Compliance HelpLine at http://www.partners.org/complianceline . If the e-mail was sent to you in error but does not contain patient information, please contact the sender and properly dispose of the e-mail.
