yes. Surface area will be the affected much more than thickness (and volume 
of course scales with area)

On Fri, 22 Mar 2013, _andre...@sapo.pt wrote:

> Hi Bruce,
>
> Thank you for the quick response!
>
> In the meanwhile, does that also apply to cortical thickness and volume?
>
> Thank you!
>
> Andreia
>
> Quoting Bruce Fischl <fis...@nmr.mgh.harvard.edu>:
>
>> Hi Andreia
>> 
>> the issue is that the BA labels contain every point that has any non-zero
>> probability (no matter how small!) of being in that label. So the total
>> label area is almost certainly always bigger than the actual BA. Anastasia
>> has some scripts for automatically computing the correct threshold, and I
>> believe she and Nick integrated them into 5.2 so that the stats are
>> computed both thresholded and unthresholded, hopefully they can comment.
>> Bruce
>> 
>> 
>> 
>> On Fri, 22 Mar 2013, _andre...@sapo.pt
>> wrote:
>> 
>>> Hi all,
>>> 
>>> I'm using FS 5.0 and some time ago I was told by Bruce that I had to
>>> threshold the BA in order to have an approximate area when overlaying
>>> in the inflated surface. To get surface area values I also need to use
>>> the label_area and put a threshold
>>> having the possibility to choose the surface that I want, either white
>>> or pial.
>>> 
>>> But I can also get the BA stats in a table for all subjects and areas
>>> using either mris_anatomical_stats (on each label) or usinga script by
>>> Jamaan to get the table (since I already have the ?.BA.stats files),
>>> right?
>>> 
>>> My question is, which is the better/correct way to get the thickness
>>> and surface area values of the BA to export for statistical analysis
>>> since there are the thresolds issue.
>>> 
>>> I want to study mainly cortical thickness and surface area but also
>>> look also at the volume (which is surface-based, thus
>>> thickness*surface are will not be = volume since they are an average
>>> from each label, right?).
>>> 
>>> I' not sure of which approach to follow now... Does it depend on the
>>> measure I'll be using?
>>> 
>>> Thank you!
>>> 
>>> Andreia
>>> 
>>> 
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>>> 
>>> 
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