Dear Doug,
Thank you very much!
I will try what you suggested, although I am not sure if Jorge's stream outputs the FMHM, or if I would need to run the statistics from the beggining using in the terminal, and not in MatLab.
Do you think Jorge could
comment on this issue?
Regards,
Pedro Rosa.
On Mar 24, 2014, at 12:44 PM, Douglas Greve <
greve@nmr.mgh.harvard.edu> wrote:
In theory, it should be possible. I have not used Jorge's stream, so I
don't know that much about it. Does it save an estimate of the FWHM? If
so, then you can run mri_surfcluster passing it the p-value (ie,
-log10(p)) map, the FWHM, the mask, and a voxel-wise threshold. This is
what mri_glmfit-sim does, so you might check that script for
mri_surfcluster command line options
doug
> On 3/22/14 11:03 PM, Pedro Rosa wrote:
> Dear
list,
> I ran the recon-all and the Freesurfer 5.1 longitudinal pipeline in a structural MRI dataset and I would like to use Monte Carlo as the method for correction for multiple comparisons. However, the longitudinal LME tutorial includes only FDR correction (lme_mass_FDR2).
> Is it possible to use Monte Carlo correction for longitudinal data? Can I input the outputs from MatLab (fstats = lme_mass_F(?h,CM): stats.F / pval / sgn / df) into mri_glmfit and then run Monte Carlo?
> If not, do you have any other suggestions of how I use Monte Carlo in longitudinal analyses?
> Thanks in advance,
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