Tank you very much.
A-Do you mean the partial correlation coeff (PCC) at each voxel averaged over 
region? Finally a linear regression is done between cortical thickness of a 
composite region and NPS. However the authors discuss every individual region 
as related to disease. So a table with partials correlations of individuals 
ROIs with NPS seems useful to support the discussion. B- I'd like to obtain the 
covariance matrix of the regression made between cortical thickness, group and 
covariates. How can I do it?I'm not sure what you mean. Would this be a 
different matrix for each  vertex?I cite the referee: "The authors must provide 
the covariance matrix of the regression made between cortical thickness, group 
and covariates as supplementary information in order to increase the value of 
the results."
I don't have Matlab for mri_glmfit_pcc matlab.
Stefano





----Messaggio originale----
Da: [email protected]
Data: 2-dic-2013 20.47
A: <[email protected]>
Ogg: Re: [Freesurfer] Linear regression


On 12/02/2013 02:22 PM, [email protected] wrote:
> Hi list,
>
> I have some questions, please.
>
> I performed linear regression by qdec to find the regions where the 
> cortical thinning correlates with neuropsychological test (NPS), 
> taking in account 3 nuisance factors.
>
> A- I individuated some posterior regions and now I'd like to build a 
> table with partials correlations of individuals ROIs with NPS. How can 
> I obtain the values for each region?
Do you mean the partial correlation coeff (PCC) at each voxel averaged 
over region? You can get PCC maps using the mri_glmfit_pcc matlab 
command. You can then do the averaging over region using mri_segstats.
>
> B- I'd like to obtain the covariance matrix of the regression made 
> between cortical thickness,  group and covariates. How can I do it?
I'm not sure what you mean. Would this be a different matrix for each 
vertex?
>
> C- Is there a specific reference for qdec?
No, it is just a GLM so any GLM reference will do.
>
> Thank you very much,
>
>
> Stefano
>
>
>
>
>
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