Hi Gari

they overlap as the labels represent every location that could possibly 
be in either label. Unless we could predict them perfectly they have to 
overlap, since they share a border. With 5.2 we will include different 
default thresholds, but at the moment you have to do it yourself. You could 
do a max probability in matlab, or load them in tksurfer and threshold them 
manually to remove overlap.

cheers
Bruce


On Mon, 6 Aug 2012, Garikoitz Lerma Usabiaga wrote:

> Hi Bruce,
> thanks for your answer.
>
> I am mapping a volume ROI (BA45) from SPM in MNI 152 space to fsaverage (the 
> result is the red ROI).  The problem is that:
> - when I load the BA45.label from FS in order to compare, they are not quite 
> similar. My main problem is to know if the differences are acceptable or not 
> and what method should I use to check the validity.
> - Secondary problem: when I load both the lh.BA45.label and lh.BA44.label, 
> they overlap. I didn't create those labels, they are the ones that come in 
> fsaverage/label. I don't understand how can they overlap (in the 
> lh.aparc.annot or lh.aparc.a2009s.annot those areas don't overlap at all).
>
>
> Thanks again for your help,
> Gari
>
>
>
>
>
>
> On 2012-08-06, at 15:27, Bruce Fischl <fis...@nmr.mgh.harvard.edu> wrote:
>
>> Hi Gari
>>
>> sorry, I'm a bit confused. Are you using the individual subject estimates of 
>> 44 and 45 generated by FreeSurfer, or mapping them from MNI space? In either 
>> case you can get overlap unless you pick the most probably label at each 
>> point.
>>
>> cheers
>> Bruce
>>
>>
>> On Mon, 6 Aug 2012, Garikoitz Lerma Usabiaga wrote:
>>
>>> Hi freesurfers experts,
>>> this is (please check attached image) the best I got when trying to map a 
>>> volume ROI (BA45 in MarsBar = MNI_Frontal_Inf_Tri_L_roi) to freesurfer 
>>> using mri_vol2surf.
>>> I used /freesurfer/average/mni152.register.dat instead of spmregister since 
>>> the ROI was already in mni152 2mm, the registration was perfect -checked 
>>> with tkregister2.
>>>
>>> - I obtained the red area of the image, which is outside of the 
>>> ROI45.label. Considering that the source was not exactly the same, could I 
>>> consider it acceptable for cortical thickness analysis?
>>> - Why are the 44 and 45 overlapping?
>>>
>>> Thank you very much and sorry for the multiple questions,
>>> Gari
>>>
>>>
>>>
>>>
>>>
>>
>>
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