Hi Mahshid,
Another approach might be for you to generate a 'foci' file based on the
coordinates of your vertices of interest. Workbench supports foci files and
projects them to the nearest surface vertices so that they stay 'glued' to the
surface when viewed in different configurations.
Unfo
Yes, though it takes a bit of doing currently. -metric-reduce with
INDEXMAX gets you close to what you want, but you also need to mask out
areas that are zero in all maps. We recently worked out how to do this for
our own purposes with the currently available commands:
-metric-reduce INDEXMAX on
Thanks Tim,
Everything worked, except putting all in one map. Even though I used
overlap-logic CLOSEST, I could not make them as a gifti file with one map
and the output is a gifti file with the same number of maps as the number
of ROIs. Is it possible to somehow convert or merge all of maps in the
You could try using wb_command -surface-geodesic-rois, it will draw
circular ROIs around vertices, as separate maps in a metric file. If you
want them all in one map, the -overlap-logic option to that command, and
the commands -metric-reduce, -metric-math and -metric-label-import may come
in handy
Thank you for your suggestions, The wb_command -cifti-seprate worked well.
I have another question which is related to my question regarding uniofrmly
spaced ROIs. I have saved the index of vertices in a text file which are
distanced uniformly from each other and I know these are the vetices on
wh
As to your first question, it may currently be easier to use wb_command
-cifti-separate to get the different hemispheres and voxels (either by
structure or all in a single file) as separate GIFTI/NIFTI files. The
GIFTI files made this way have direct correspondence to vertices in the
relevant .sur
the CIFTI coordinates.
Peace,
Matt.
From: Mahshid Najafi <mhs...@gmail.com>
Date: Tuesday, March 25, 2014 at 12:51 PM
To: "hcp-users@humanconnectome.org" <hcp-users@humanconnectome.org>
Subject: [HCP-Users] Grayordinate data
Hi,
I have some problem
Hi,
I have some problems in understanding the
rfMRI_REST2_RL_Atlas_hp2000_clean.dtseries.nii data. I used wb_command
-cifti-convert -to-gifti-ext rfMRI_REST2_RL_Atlas_hp2000_clean.dtseries.nii
rest_gifti to convert CIFTI to gifti and used gifti toolbox to load data
in the MATLAB.
Q1: The size of
