there is a mistake in the graph, hippocampal volume is TIV2
I apologize for that!

Angela Favaro <angela.fav...@unipd.it> ha scritto:

> Hi Bruce,
> please find attached the graph of the correlation between the two time
> point. I did not find outliers or failures. However the discrepancy
> between TIVs is particularly high in few cases. Obviously these data
> are those before running longitudinal streaming
> This is a sample of adolescents with low body weight (anorexia nervosa).
> In my previous study (on young adults with low weight) I found no
> correlation between TIV and body weight and high correlations between
> fs estimated TIV and manually segmented TIV (r=0.94 in the whole
> sample and r=0.93 in the underweight sample (n=38)).
> Do you think that the young age can be a factor? or patients who are
> more acutely underweight?
> Thank you for any suggestion
>
> Angela
>
>
> Bruce Fischl <fis...@nmr.mgh.harvard.edu> ha scritto:
>
>> Hi Angel
>>
>> the time1/time2 correlation of eTIV is pretty worrisome. Are you sure
>> that there aren't outliers/failures in that set?
>>
>> Bruce
>>
>>
>> On Sun, 14 Feb 2016, angela.fav...@unipd.it wrote:
>>
>>> Dear Freesurfer experts,
>>> I have a question about eTIV (FS 5.3) which I use as a covariate where
>>> appropriate. Is it in some way influenced by the presence of brain
>>> atrophy?
>>> I have a new sample of subjects in a longitudinal study: at time 1 they
>>> have some atrophy (due to low body weight) that improves in time 2 (4
>>> months). I observed that eTIV-time1 is slightly correlated with weight
>>> (r=0.3) whereas no correlation is present at time 2. The correlation
>>> between eTIV-time1 and eTIV-time2 is somewhat lower than expected (r=0.53)
>>> and is lower than correlation between SegBrain_Vol_1 and SegBrain_Vol_2
>>> (0.65).
>>>
>>> Do you suggest in these cases to perform manual segmentation to obtain
>>> TIV? or is there any other method (in freesurfer) to obtain an estimate of
>>> TIV not influenced by brain atrophy? What about using BrainMask_to_TIV?
>>>
>>> Thank you for any suggestion
>>>
>>> Angela
>>>
>>>
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