Hi Tim.

Thanks for the detailed response.

So you're saying group-representative coordinates are a difficult issue.

For present purposes I would be ok with just individual subject native
space coordinates from this parcellation.

I'm still not clear how to get these.


By way of context, I have a set of ROIs from HCP resting fmri data that I
obtained using

wb_command -cifti-parcellate rfMRI_REST1_LR_Atlas.dtseries.nii
Gordon333_FreesurferSubcortical.32k_fs_LR.dlabel.nii COLUMN
 parc_ts.ptseries.nii

which gives me 352 time series.

What I'm after now are the coordinates of the vertices/voxels (and ideally
also text labels) that contributed to each of these time series ROIs.



The BALSA repository that I got the parcellation from included amongst
other things the following files

Gordon333_FreesurferSubcortical.32k_fs_LR.dlabel.nii
S900.L.inflated_MSMAll.32k_fs_LR.surf.gii
S900.R.inflated_MSMAll.32k_fs_LR.surf.gii

The dlabel file is size 1x91282

The surf gii files contain surfaces of with 32492

Am I to assume / supposed to know that something like the first 32492
elements of the dlabel file
correspond to the left hemisphere surface, the second 32492 to the right
hemisphere surface, and
the remaining to the subcortical voxels?

But actually I know this can't be the case because in the first 32492
elements of the dlabel file there are
194 unique values, and in the second 32492 elements there are 174 unique
values. That said, the first
two blocks have lots of shared entries, so the total number of unique
labels does sum up to the correct
number, more or less. But many are in both the first and second blocks.


So I'm stumped.


Please advise.


Much appreciated,


john








On 20 May 2017 at 15:01, Timothy Coalson <tsc...@mst.edu> wrote:

> You can get the subcortical parts of that label file using -cifti-separate
> with the -volume-all option, which outputs a nifti volume.
>
> As for the cortical data, no the problem isn't simple.  The cortical
> surface data doesn't really have meaningful "group coordinates" the way we
> see it, because volume registration doesn't fully align cortex across
> subjects.  If this were the HCP MMP 1.0, conversion to volume would be even
> more problematic, since it relies on registration based on areal features,
> and not folding patterns.  This is why we recommend that analysis of cortex
> data, especially group analysis, be done on surfaces (where intersubject
> correspondences don't rely on anatomical coordinates), rather than in the
> volume.
>
> If you still want to translate the cortical data to a group volume space,
> be aware that group average surfaces are not suitable to get to that volume
> space, because the averaging across subjects of cortical coordinates causes
> significant amounts of smoothing, reducing the amount of folding
> information in the group average surface.  This causes the average surfaces
> to slice through white matter and csf in regions with high folding and high
> subject variability.
>
> The problem of wanting group average cortical data in the volume doesn't
> have a particularly good solution.  Using individual surfaces from many
> subjects to map the data to volume will at least give an honest answer,
> though probably disappointing.
>
> Tim
>
>
> On May 20, 2017 11:49 AM, "John Griffiths" <j.davidgriffi...@gmail.com>
> wrote:
>
>
>
> Dear HCP peeps,
>
>
> I have a label file that I obtained from the BALSA database
>
> Gordon333_FreesurferSubcortical.32k_fs_LR.dlabel.nii
>
> ...and I would like to obtain the coordinates of the labels; and ideally
> convert it into a nifti volumetric image.
>
> I can't figure out what the correct wb_command calls are to do this.
>
> I assume this would need another file in addition, but I'm not sure which
> one is correct.
>
> The size of this label file is 91282, which I believe comprises ~30k
> vertices in left and right hemispheres, and ~30k subcortical voxels. But
> I'm not 100% sure for that.
>
> I know of gifti files in the HCP database with '32k' in the name that
> would seem to indicate the coordinates for the cortical surfaces. But I
> don't know about the additional 30k voxels (?).
>
> Simple problem; solution thus far escapes me.
>
> Could you please advise?
>
>
>
>
> Thanks,
>
>
> john
>
>
>
>
>
>
>
>
>
>
>
>
>
>
> --
>
> Dr. John Griffiths
>
> Post-Doctoral Research Fellow
>
> Rotman Research Institute, Baycrest
>
> Toronto, Canada
>
> and
>
> Honorary Associate
>
> School of Physics
>
> University of Sydney
>
> _______________________________________________
> HCP-Users mailing list
> HCP-Users@humanconnectome.org
> http://lists.humanconnectome.org/mailman/listinfo/hcp-users
>
>
>


-- 

Dr. John Griffiths

Post-Doctoral Research Fellow

Rotman Research Institute, Baycrest

Toronto, Canada

and

Honorary Associate

School of Physics

University of Sydney

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