>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 wrote:
>
> 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 mris_preproc and surf2surf to get the data to common space and 
> smooth.
>
> 2. Load the data to matlab using fs_read_Y() or MRIread
>
> 3. Perform stats at each vertex using stats toolbox to apply modeling 
> approach of your choice (e.g., machine learning, linear mixed model etc.)
>
> 4. Extract P-values (or other parameters) for each vertex for the 
> variable of primary interest
>
> 5. Use MRIwrite to create mgh file
>
> 6. Perform multiple comparison using freesurfer functions (e.g., 
> FDR or monte carlo sim)
>
> 7. view corrected maps using tksufer?
>
>
> Any steps I should consider adding or avoid?
>
> Thank you!
>
>