Hi Douglas,

Well, I usually use aparcstats2table with -m thickness, but what I get is
the thickness for all those 34 hemisphere regions, but not that measure of
mean thickness for the hemisphere. Could I be missing something?

thanks
Daniel

Message: 15
Date: Tue, 30 Oct 2012 11:17:56 -0400
From: Douglas N Greve <gr...@nmr.mgh.harvard.edu>
Subject: Re: [Freesurfer] average measure of cortical thickness
To: freesurfer@nmr.mgh.harvard.edu
Message-ID: <508fefa4.9070...@nmr.mgh.harvard.edu>
Content-Type: text/plain; charset=ISO-8859-1; format=flowed

You can get thickness with aparcastats2table with the -m thickness
option. This gives you a measure of mean thickness for the hemisphere as
well.
do8ug


2012/10/30 Daniel Ferreira <dani...@ull.es>

> Please, is there any automatic way to extract this "Mean Thickness" values
> for lh and rh for a big group of subjects? As for example aparcstats2table?
>
> thank you very much
>
> Daniel
>
>
> 2012/10/30 Bruce Fischl <fis...@nmr.mgh.harvard.edu>
>
>> yes, I think so
>>
>> Bruce
>> On Tue, 30 Oct 2012, Daniel Ferreira wrote:
>>
>>  So, as a measure of whole brain cortical thickness average is it better
>>> to
>>> "Mean Thickness" from aparc.stats file?
>>>
>>>
>>> 2012/10/30 Bruce Fischl <fis...@nmr.mgh.harvard.edu>
>>>       Hi Daniel
>>>
>>>       the parcellations are not uniform in size, and therefore the
>>>       average of them will not be the same as averaging over the
>>>       cortex.
>>>
>>>       cheers
>>>       Bruce
>>>       On Tue, 30 Oct 2012, Daniel Ferreira wrote:
>>>
>>>             Hi,
>>>             I was wondering what should I use as an average of
>>>             cortical thickness for
>>>             the whole cortex.
>>>
>>>             The aparc.stats output gives a value of "Mean
>>>             Thickness" for each
>>>             hemisphere. But this value does not coincide with
>>>             the one I get if I average
>>>             the 34 variables from aparc.stats. Do you know why?
>>>
>>>             thanks so much in advance
>>>
>>>             Daniel
>>>
>>>
>>>
>>>
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