Sorry, I meant to say that you cannot use QDEC with more than 2 discrete 
variables (you have 3). You do not need to extract data from the 
smoothed thickness files, but the results you get from your ROI analysis 
may then differ a bit from that you get from the QDEC analysis.
doug

krista kelly wrote:
> Thanks Doug! Just a few more things:
>
> I only have two groups, so my contrast was wrong. Should it only be 1 
> -1, even if I have other variables I want to control for? Or should I 
> have a contrast file for each discrete variable?
>
> How would I extract the smoothed data using mri_anatomical_stats?
>
> I realize the importance of smoothing data while doing a 
> vertex-by-vertex analysis in QDec, but if I'm doing an ROI analysis by 
> extracting the average thickness in a certain label (i.e. v1), is it 
> necessary to do the stats on the smoothed data from each participant?
>
> Thanks!
>
>
> On Tue, Oct 18, 2011 at 2:23 PM, Douglas N Greve 
> <gr...@nmr.mgh.harvard.edu <mailto:gr...@nmr.mgh.harvard.edu>> wrote:
>
>
>
>     krista kelly wrote:
>
>         Hi, just wondering if anyone has any advice on the following
>         questions:
>
>         I'm using QDEC to analyze cortical thickness differences
>         between groups and I have a few questions:
>
>         1) There are a few variables that I need to control for. First
>         variable is scanner - I used two different scanners of
>         different field strengths (1.5T GE and 3T Siemens) so I wanted
>         to control for scanner. I also wanted to control for age and
>         gender. Here's my ideal design setup:
>
>         discrete variables - groups, scanner, gender
>         nuisance variable - age
>
>         contrast would be 1 -1 0 0 0 0
>         I realize that scanner, gender, and group are all discrete
>         variables, and that age would be a continuous one. However, in
>         the design tab, I am not able to select all 3 discrete
>         variables (groups, scanner, and gender). Should I designate
>         scanner or gender as a nuisance variable instead? Would it
>         matter which one I use as the nuisance variable? Possible setup:
>
>         discrete vars - groups, scanner
>         nuisance vars - age, gender
>
>         contrast - 1 -1 0 0 (Correct?)
>
>     Unfortunately, you cannot use QDEC if you have three groups.
>     You'll have to create an FSGD file and contrasts by hand, then run
>     mri_glmfit. Do a search for FSGD on our wiki and go to the
>     examples page. I think there is an example there for what you want
>     to do.
>
>
>         2) If I use DODS, should I demean the ages if age is a
>         nuisance variable?
>
>     You should actually test whether there is an interaction between
>     age and your group contrast of interest (using the DODS model). If
>     there is not interaction, then switch to a DOSS where demeaning
>     does not matter.
>
>
>         3) If I use a smoothing kernel during the analysis, then
>         create an ROI and map that ROI to each individual subject,
>         will the resulting .stats file in each subjects stats folder
>         reflect the smoothed data or does mapping onto each ROI just
>         extract the raw unsmoothed data from each vertex?
>
>     It depends on how you do the extraction. If you are using
>     mris_anatomical_stats on each individual's unsmoothed data, then
>     it will reflect the unsmoothed.
>
>     doug
>
>
>         Thanks!
>         Krista
>         
> ------------------------------------------------------------------------
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>
>     -- 
>     Douglas N. Greve, Ph.D.
>     MGH-NMR Center
>     gr...@nmr.mgh.harvard.edu <mailto:gr...@nmr.mgh.harvard.edu>
>     Phone Number: 617-724-2358 <tel:617-724-2358> Fax: 617-726-7422
>     <tel:617-726-7422>
>
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>
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-- 
Douglas N. Greve, Ph.D.
MGH-NMR Center
gr...@nmr.mgh.harvard.edu
Phone Number: 617-724-2358 
Fax: 617-726-7422

Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting
FileDrop: www.nmr.mgh.harvard.edu/facility/filedrop/index.html

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