no, that is fine too
On 03/15/2017 04:49 PM, Mihaela Stefan wrote:
> I was thinking to use lme_mass_FDR2 to correct for multiple
> comparisons. Is there a reason not to use it in this case?
>
> Thank you!
> Mihaela
>
> On Wed, Mar 15, 2017 at 3:55 PM, Douglas N Greve
>
I was thinking to use lme_mass_FDR2 to correct for multiple comparisons. Is
there a reason not to use it in this case?
Thank you!
Mihaela
On Wed, Mar 15, 2017 at 3:55 PM, Douglas N Greve
wrote:
> No, there is not. You can do it that way if you want to. The problem is
No, there is not. You can do it that way if you want to. The problem is
that you then end up with stuff outside of the ROI smoothing into the
ROI. Also note that either way, you will need to generate new tables for
correction of multiple comparisons (use use permutation)
On 03/15/2017 03:52
Is there a way or reference this smoothing detail in a paper? There are
people who believe that the soothing should be done at the whole brain
level and then apply the mask (--label), during the GLM analysis.
Thanks again!
Mihaela
On Wed, Mar 15, 2017 at 3:12 PM, Douglas N Greve
yes, that is the right way to do it
On 03/15/2017 01:18 PM, Mihaela Stefan wrote:
> Hello FreeSurfers,
>
> I would like to run a group analysis on cortical thickness using
> existing Desikan labels.
>
> When I run the command for smoothing, should I replace *--cortex* with
> *--label-trg*? In
Hello FreeSurfers,
I would like to run a group analysis on cortical thickness using existing
Desikan labels.
When I run the command for smoothing, should I replace *--cortex* with
*--label-trg*? In other words, for ROI analysis, should we smooth *only*
the target mask?
mri_surf2surf --hemi lh \