-MMP1 Parcellation to individual brain for stats
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Thank you for the quick answer! For the archive and my understanding…the
pscalar gives out a column with 360 values, these values are the average
thickness of my one subject and finally, the data I was searching
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Thank you for the quick answer! For the archive and my understanding…the
pscalar gives out a column with 360 values, these values are the average
thickness of my one subject and finally, the data I was searching for: cortical
thickness values from my
the results with wb_command -cifti-convert -to-text.
Matt.
From: on behalf of Alina Rojas
Reply-To: Freesurfer support list
Date: Monday, July 20, 2020 at 4:32 AM
To: Freesurfer support list
Subject: Re: [Freesurfer] HCP-MMP1 Parcellation to individual brain for stats
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Thank you, the ciftify was run successfully! But now I have questions to the
wb-command -cifti-parcellate:
wb_command -cifti-parcellate
- the cifti file to parcellate
- a cifti label file to use for the parcellation
- which mapping
individual subjects). So I would use with caution.
Matt.
From: on behalf of Álvaro Deleglise
Reply-To: Freesurfer support list
Date: Tuesday, July 14, 2020 at 10:01 AM
To: Freesurfer support list
Subject: Re: [Freesurfer] HCP-MMP1 Parcellation to individual brain for stats
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*Date: *Tuesday, July 14, 2020 at 9:49 AM
> *To: *Freesurfer support list
> *Subject: *Re: [Freesurfer] HCP-MMP1 Parcellation to individual brain for
> stats
>
>
>
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>
> Hi Alina and Matthew,
>
> I think there is a simple
Reply-To: Freesurfer support list
Date: Tuesday, July 14, 2020 at 9:49 AM
To: Freesurfer support list
Subject: Re: [Freesurfer] HCP-MMP1 Parcellation to individual brain for stats
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Hi Alina and Matthew,
I think there is a simple solution to the problem. You
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Hi Alina and Matthew,
I think there is a simple solution to the problem. You can use the .gcs
files of the parcellation you are interested in! You have to run the
mris_ca_label command to apply the parcellation in individual subject space
and get de .an
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I would find using something like ciftify (https://github.com/edickie/ciftify)
potentially more straightforward (and then you can just use wb_command
-cifti-parcellate on
${StudyFolder}/${Subject}/MNINonLinear/fsaverage_LR32k/${Subject}.thickness.32k
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Hello Freesurfer support list,
I’m attempting to map the HCP-MMP1-Atlas to the individual brains of my
subjects to get the values of the parcellation, like aparc.stats but aparc
being HCP-MMP1. The aim ist to compare the cortical thickness of the
Pa
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