Hi Doug,

Thank you for such a prompt response. Just to be clear you are recommending that I manually create the matrix file right?

If so I want to ensure that I am understanding how to design the matrix file properly.

Let's imagine that the first participant is a control and is 13 and the second is a patient and is 15. My understanding is that the matrix file would be as follows:
0 0 0 0 0 0 0 0 13 0
0 0 0 0 0 0 0 0 0 15.

-Tim
Previous correspondences are below:

You'll need a regressor for each of the 8 classes you describe below. You can use mri_glmfit to generate this (Xg.dat file) You'll need two more regressors for age, one for each diagnosis. If a subject (ie, row) is a control then the two values will be AGE 0. If the subject of the row is a patient, then the two values will be 0 AGE. You can then set up a Controls-Patients age (ie, interaction between dx and age) contrast like [0 0 0 0 0 0 0 0 1 -1]
On 05/24/2016 02:30 PM, Timothy Hendrickson wrote:
>
> Freesurfer Support,
>
> I'd like to create a design matrix for a group analysis outside of the 
> DODS and DOSS models. I understand that in order to do this the -X 
> flag must be used. However, I have been unable to find examples of how 
> to do this.
>
> I am hoping to reveal a difference in thickness or gyrification 
> amongst a clinical population. The data set contains two factors: 
> diagnosis, and study site and one covariate: age. Diagnosis has two 
> levels: controls, and patients. Study site has four levels, one level 
> for each location the data has been collected from.
>
> What I would ideally like to do is:
>
> 1) Take into account offset differences amongst diagnosis and study site.
>
> 2) Allowing a difference in age slope amongst the diagnosis levels
>
> 3) Modeling the age slope as the same for the study site levels
>
> My FSGD file is designed as follows
>
> Class SITE 1-Control
> Class SITE 1-PATIENT
> Class SITE 2-Control
> Class SITE 2-PATIENT
> Class SITE 3-Control
> Class SITE 3-PATIENT
> Class SITE 4-Control
> Class SITE 4-PATIENT
> Variables age_at_scan
>
> study site levels = 1,2,3 and 4
> diagnosis levels = PATIENT and Control
> age_at_scan = covariate age
>
> Any advice would be greatly appreciated.
>
> Respectfully,
>
> Tim
>
> -- 
> Timothy Hendrickson
> Department of Psychiatry
> University of Minnesota
> Mobile: 507-259-3434 <tel:507-259-3434> (texts okay)
>
>
> _______________________________________________
> Freesurfer mailing list
> Freesurfer@nmr.mgh.harvard.edu
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-- 
Douglas N. Greve, Ph.D.
MGH-NMR Center
gr...@nmr.mgh.harvard.edu
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On Tue, May 24, 2016 at 1:30 PM, Timothy Hendrickson <hendr522@umn.edu> wrote:

Freesurfer Support,

I'd like to create a design matrix for a group analysis outside of the DODS and DOSS models. I understand that in order to do this the -X flag must be used. However, I have been unable to find examples of how to do this.

I am hoping to reveal a difference in thickness or gyrification amongst a clinical population. The data set contains two factors: diagnosis, and study site and one covariate: age. Diagnosis has two levels: controls, and patients. Study site has four levels, one level for each location the data has been collected from.

What I would ideally like to do is:

1) Take into account offset differences amongst diagnosis and study site.

2) Allowing a difference in age slope amongst the diagnosis levels

3) Modeling the age slope as the same for the study site levels

My FSGD file is designed as follows

Class SITE 1-Control   
Class SITE 1-PATIENT
Class SITE 2-Control   
Class SITE 2-PATIENT
Class SITE 3-Control   
Class SITE 3-PATIENT
Class SITE 4-Control   
Class SITE 4-PATIENT
Variables age_at_scan

study site levels = 1,2,3 and 4
diagnosis levels = PATIENT and Control
age_at_scan = covariate age

Any advice would be greatly appreciated.

Respectfully,

Tim

--
Timothy Hendrickson
Department of Psychiatry
University of Minnesota
Mobile: 507-259-3434 (texts okay)



--
Timothy Hendrickson
Department of Psychiatry
University of Minnesota
Mobile: 507-259-3434 (texts okay)