CIFTI files in the 2mm standard CIFTI space (91282 grayordinates) already
have the medial wall masked out.

Peace,

Matt.

On 9/29/16, 4:29 PM, "[email protected] on behalf of
Dierker, Donna" <[email protected] on behalf of
[email protected]> wrote:

>Hi Andrew,
>
>Use the -m (mask) option for the ROI, where it labels good vertices 1,
>excluded 0, e.g.:
>
>palm -i ${MetricIn} -m ${AtlasROI} -s ${SurfaceGii} ${VertexAreas} Š
>
>This repository has atlas roi shape.gii for multiple resolutions:
>
>https://github.com/Washington-University/Pipelines/tree/master/global/temp
>lates/standard_mesh_atlases
>
>Š unless the course practicals list something later/greater.
>
>
>Donna
>
>
>> On Sep 29, 2016, at 2:25 PM, Andrew Poppe <[email protected]> wrote:
>>
>> Hello gurus,
>>
>> I have successfully run first- and second-level stats on a data set
>>that was collected with HCP-compliant parameters, and I am ready to run
>>group stats.
>>
>> I have looked at the HCP workshop materials (practicals) regarding
>>using PALM for group stats on dense data, and it does not mention
>>masking anything that I can see (I'm looking at practical 8 from the
>>2016 Course). However, I was told that it would be better to mask out
>>vertices on the medial wall of both hemispheres as they will increase
>>the number of tests being conducted but do not actually contain useful
>>data.
>>
>> Is this true? Should I be masking out zero voxels from cope images
>>prior to entering them into PALM?
>>
>>
>> Thanks for your help,
>>
>> Andrew Poppe, Ph.D.
>> Postdoctoral Researcher
>> Olin Neuropsychiatry Research Center
>> Institute of Living
>> Hartford Hospital
>> _______________________________________________
>> HCP-Users mailing list
>> [email protected]
>> http://lists.humanconnectome.org/mailman/listinfo/hcp-users
>>
>
>
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