Hi - If I would like to try to perform mass-univariate statistics at the vertex
level (thickness, area, vol at each vertex) without using the mri_glmfit, is
this order a sound step (in general) for mapping stats parameter of choice
(p-val or t s or weights for example) to the surface?
1. Use
Hi Yoonho,
the steps look good. Take a look at
https://surfer.nmr.mgh.harvard.edu/fswiki/LinearMixedEffectsModels
which basically describes exactly these steps for the case of linear
mixed effects models. Note that we have dedicated code for that as part
of FreeSurfer (see also the references e
That looks fine. If you are going to use the monte carlo sim, then
you'll need an estimate of the FWHM. In mri_glmfit, we get that by
running mris_fwhm on the residuals. So, assuming that your analysis has
residuals, then you should save those out too.
On 05/24/2016 01:55 PM, Chung, Yoonho wrot
Yes - I am interested in applying the monte carlo sim to my own model fit. Doug
can you walk me through the steps I need to get this part done? When you say
residuals, I am assuming that I need to supply a vector file of residuals after
I fit my model to the smoothed data (eg. using mri_surf2sur
Please include previous correspondence
On 06/01/2016 11:39 AM, Chung, Yoonho wrote:
>
> Yes - I am interested in applying the monte carlo sim to my own model
> fit. Doug can you walk me through the steps I need to get this part
> done? When you say residuals, I am assuming that I need to supply
esurfer functions (e.g.,
> FDR or monte carlo sim)
>
> 7. view corrected maps using tksufer?
>
>
> Any steps I should consider adding or avoid?
>
> Thank you!
>
>
From: Douglas N Greve
Sent: Wednesday, June 1, 2016 12:47:53 PM
To: Chung, Yoon
