Great, thanks!

Claude


On 18.08.2017 16:08, Glasser, Matthew wrote:
> For the 32k 2mm average spacing surfaces you can find the standard medial
> wall definitions here:
>
> https://github.com/Washington-University/Pipelines/blob/master/global/templ
> ates/91282_Greyordinates/L.atlasroi.32k_fs_LR.shape.gii
> https://github.com/Washington-University/Pipelines/blob/master/global/templ
> ates/91282_Greyordinates/R.atlasroi.32k_fs_LR.shape.gii
>
> These are the same as are used to produce the CIFTI files.  These are the
> definitions of cortex, so you will need to subtract 1 and multiply by -1
> to get a medial wall ROI with ones inside the ROI and zeros for the
> cortex.
>
> Peace,
>
> Matt.
>
> On 8/18/17, 8:55 AM, "hcp-users-boun...@humanconnectome.org on behalf of
> Claude Bajada" <hcp-users-boun...@humanconnectome.org on behalf of
> c.baj...@fz-juelich.de> wrote:
>
>> Hi all,
>>
>> I had asked a question on this forum a while ago related to medial wall
>> structures in cifti and gifti files and I have a follow-up question.
>>
>> I have been going through the gifti file format and have learned that
>> the medial wall structures are labeled as ???
>>
>> Unfortunately, it seems that most programmes do not output these vertex
>> indices easily (or at least this is my impression). I tend to use the
>> matlab gifti library by Guillaume Flandin
>> (https://www.artefact.tk/software/matlab/gifti/)
>>
>> I need to know the medial wall indices in order to exclude them from
>> some tractography seeds that I am generating.
>>
>> The way I have been retrieving these indices so far is:
>>
>> 1) locate the file ${side}.aparc.32k_fs_LR.label.gii in folder
>> MNINonLinear/fsaverage_LR32k/
>>
>> 2) load it in matlab > aparc = gifti('${side}.aparc.32k_fs_LR.label.gii');
>>
>> 3) identify the data (aparc.cdata) that are associated with label ???
>> and store the indices
>>
>> My questions are:
>>
>> a) are these vertices standard across all of the brain? eg one
>> participant has 2425 midline vertices. Should all HCP participants have
>> the same vertices or do these differ slightly across subjects?
>>
>> b) can I just map these indices onto the T1 (32k resampled) vertices, in
>> order to exclude these areas from my tractography?
>>
>> Regards,
>>
>> Claude
>>
>>
>>
>>
>>
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