The cleanest way to do it is to use -cifti-create-dense-from-template to
put the vertex area metrics into a cifti file (this may have already been
done, look at what files exist with "va" in the name), and then use
-cifti-parcellate on that with -method SUM.
Tim
On Fri, Apr 12, 2019 at 4:30 PM
This wasn’t done on any of the released HCP data. When we released temporal
ICA cleaned fMRI data I plan to include this.
The version of the HCP pipelines that has this correction was coded up after
the HCP data were processed, so it is not in the 3T HCP data. I believe the 7T
data do have
Dear HCP Users,
Regarding bias field correction of fMRI data, in Glasser et al.
(Supplementary Methods For
A Multi-modal Parcellation of Human Cerebral Cortex), it states:
"The scaled [bias] field was used as a reference BOLD intensity image when
computing bias free beta effect size maps"
Was
wb_command -cifti-weighted-stats with the areas as binary ROIs and the
appropriate surfaces in the case of individuals or group average vertex areas
in the case of the group will give the surface areas. I don’t know that you
can do it directly from a dlabel, but can convert a dlabel to binary
Hey HCP users,
I was wondering if you all knew of a quick method of getting the surface area
of a cifti file (dlabel). I noticed there was a cifti-label-adjacency which
gets you the boundary length between two areas, which is pretty neat and was
hoping maybe there is a easy command that would
