Thank you very much, Michael!
I have just an other important question, please.
I'm performing cortical thickness analysis on three groups. One of this is a 
control group and I'm using it as support because I'm interested only to 
difference between the two groups of disease.
These are my questions:
1- Is correct if I'm applying qdec, testing before a) disease 1 vs disease 2; 
b) controls vs disease 1 and c) controls vs disease 2.
2- Addictionally to cortical thickness that I'm reporting always as nuisance 
factor in qdec,  I'd test some covariates. 
Taking in account my study design, could I test each covariates separately on 
my model using qdec?
Thanks,

Stefano


----Messaggio originale----

Da: mha...@conte.wustl.edu

Data: 4-apr-2013 15.45

A: <std...@virgilio.it>, <freesurfer@nmr.mgh.harvard.edu>

Ogg: Re: [Freesurfer] cortical thickness normalization



If you're studying thickness, I'm a fan of using mean cortical thickness as the 
covariate (since thickness is what you're studying).  I've posted on this in 
the past.
cheers,-MH
-- Michael Harms, 
Ph.D.-----------------------------------------------------------Conte Center 
for the Neuroscience of Mental DisordersWashington University School of 
MedicineDepartment of Psychiatry, Box 8134660 South Euclid Ave.          Tel: 
314-747-6173St. Louis, MO  63110                   Email: mha...@wustl.edu
From:  <std...@virgilio.it>
Reply-To:  <std...@virgilio.it>
Date:  Thursday, April 4, 2013 7:21 AM
To:  <freesurfer@nmr.mgh.harvard.edu>
Subject:  [Freesurfer] cortical thickness normalization

Hi list,
I'm reading a lot of post on this list about cortical thickness normalization. 
I' m noting very different results on my data when I use mean thickness or ICV 
as nuisance factor than no factor. 
I'm confuse on this topic, could you advise the best way, please? 
Thanks,

Stefano _______________________________________________
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