Thank you.

Regards,
Nabin

On Sat, Jun 25, 2016 at 5:36 PM, Bruce Fischl <fis...@nmr.mgh.harvard.edu>
wrote:

> the mean across both lh.cortex.label and rh.cortex.label should be pretty
> close. If you want it to be exact you should weight by area then normalize
>
> On Sat, 25 Jun 2016, Nabin Koirala wrote:
>
> Dear Bruce,
>> Thank you for the response. So, I more thing if I want to get the mean
>> cortical thickness for whole brain I could simply take the mean between
>> both
>> hemisphere ? If I understood right from the FAQ.
>>
>>   Q. I am trying to measure the global mean cortical thickness (i.e
>>   combined across hemispheres), how would I do this?
>>
>> A: One suggestion is to use the surface area of each hemisphere as the
>> weighting factor. In which case the global mean thickness including both
>> hemispheres would be given by:
>>
>> bh.thickness = ( (lh.thickness * lh.surfarea) + (rh.thickness *
>> rh.surfarea)
>> ) / (lh.surfarea + rh.surfarea)
>>
>> If you use the values in the ?h.aparc.stats, it already factors out the
>> 'unknown' region, so you don't have to do it yourself.
>>
>>
>> Regards,
>>
>> Nabin
>>
>>
>> On Sat, Jun 25, 2016 at 3:29 PM, Bruce Fischl <fis...@nmr.mgh.harvard.edu
>> >
>> wrote:
>>       Hi Nabin
>>
>>       unless the areas are the same size, the mean of the areal means
>>       won't equal the overall mean.
>>
>>       cheers
>>       Bruce
>>       On Sat, 25 Jun 2016, Nabin Koirala wrote:
>>
>>             Hi freesurfer team,
>>             I extracted the cortical thickness values using
>>             aparcstats2table command and
>>             I got the cortical thickness values for 34 regions
>>             and mean cortical
>>             thickness for each hemisphere. But when I averaged
>>             the cortical thickness
>>             from those 34 regions regions it was different than
>>             the mean cortical
>>             thickness obtained by aparcstats2table. I would
>>             expect it to be the same or
>>             very close but I checked it for more than 100
>>             subjects and they are
>>             significantly different. Am I missing something
>>             silly here ?
>>
>>             Thank you.
>>
>>             Regards,
>>             Nabin
>>
>>
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