I would map from volume to surface from the regular volume data without
smoothing and then do the smoothing on the surface (which is what we do for the
cerebral cortex). What structures do you have surfaces of subcortically?
It might make the most sense to use the ICA+FIX cleaned data for this.
Peace,
Matt.
From:
<hcp-users-boun...@humanconnectome.org<mailto:hcp-users-boun...@humanconnectome.org>>
on behalf of Reinder Vos de Wael
<reinder.vosdew...@gmail.com<mailto:reinder.vosdew...@gmail.com>>
Date: Monday, April 17, 2017 at 12:05 PM
To: "hcp-users@humanconnectome.org<mailto:hcp-users@humanconnectome.org>"
<hcp-users@humanconnectome.org<mailto:hcp-users@humanconnectome.org>>
Subject: [HCP-Users] Subcortical surface sampling outside borders of CIFTI
Hi HCP,
I am extracting resting state data from subcortical surfaces. Initially, I had
planned to do this based on the subcortical voxels included in the CIFTI file
(i.e. rfMRI_REST1_LR_Atlas_MSMAll_hp2000_clean.dtseries.nii), however, some
parts of my surfaces fall slightly outside the boundaries of grayordinate
subcortical voxels. To resolve this, I tried sampling from the NIFTI file (i.e.
rfMRI_REST1_LR_hp2000_clean.nii.gz), but I noticed that the voxels in the
volumetric file don't necessarily contain the exact same timeseries as their
counterparts in CIFTI.
As far as I have found in the HCP Pipeline code, the only difference between
the NIFTI voxels and the CIFTI subcortical voxels is that the latter have
undergone a parcel-based smoothing. Is this correct? If yes, should I resolve
this by applying a parcel-based smooth on my slightly-deviating ROIs, run
ICA-FIX, and sample from the resulting volume? If not, what would be the
HCP-recommended way of dealing with this?
Many thanks,
Reinder
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