On Mon, Jul 17, 2017 at 6:21 PM, Regner, Michael <
michael.reg...@ucdenver.edu> wrote:
> Hello Matt and HCP Community,
>
>
>
> Thank you for the helpful e-mail and words of encouragement. We are very
> encouraged by the data / results we can view in the Connectome Workbench;
> however,
Hello Matt and HCP Community,
Thank you for the helpful e-mail and words of encouragement. We are very
encouraged by the data / results we can view in the Connectome Workbench;
however, statistical analysis has proved challenging.
Just to reiterate what we are attempting to do: we are hoping
As Matt says, 32k is used to roughly match the acquisition resolution. The
7T data at 1.6mm is on a 59k mesh for the same reasons. If you want to
resample them, see the -cifti-resample command (or -metric-resample for a
simpler command that does the same surface operation on a different format).
Yes it does seem the first of four columns has 8 distinct numbers.
As a side note, is there any released HCP resting state data on a 164k mesh
or are they all 32k mesh?
Thank you,
David Hartman
On Mon, Jul 17, 2017 at 6:19 PM, Timothy Coalson wrote:
> You can get a text file
Since calling in MATLAB: “ciftiopen('RSN-networks.32k_fs_LR.dlabel.nii',
'workbench\bin_windows64\wb_command.exe')” gives me a matrix with 4 columns
whose range is beyond the 17 or 7 corresponding to their functional
grouping, I have resorted to using wb-command hoping to get right
labelling.
Hi,
There are actually 4 different maps in that file. If you load it into
Workbench, the name associated with each map tells you what each map is.
cheers,
-MH
--
Michael Harms, Ph.D.
---
Conte Center for the Neuroscience of Mental
Hi,
Is there a particular reason that you can’t provide all the dMRI scans at once,
and let the pipeline handle the merging for you?
If you process each dMRI run separately, then the individual runs will not be
in optimal alignment. (You would be relying on the registration of each run to
the
I am using the following function (and is looped through the pairs of
unique sets of gradient tables (i.e. loops twice for dir99 and dir98):
${HCPPIPEDIR}/DiffusionPreprocessing/DiffPreprocPipeline.sh \
--posData="{posData}" \
--negData="{negData}" \
--path="{path}" \
When I run DiffusionPreprocessing, I make the --dwiname=DWIName specific to
the diffusion scan (i.e. DWIName= Diffusion_dir-98_run-01) to prevent files
from being overwritten.
I end up with:
${StudyFolder}/${Subject}/T1w/Diffusion_dir-98_run-01/data.nii.gz
Look for the ${StudyFolder}/${Subject}/T1w/Diffusion/data.nii.gz file.
Peace,
Matt.
From:
>
on behalf of Yeun Kim >
Date: Monday, July 17, 2017 at 12:56 PM
To:
Hi,
You want the high-end recon computer with the GPU.
cheers,
-MH
--
Michael Harms, Ph.D.
---
Conte Center for the Neuroscience of Mental Disorders
Washington University School of Medicine
Department of Psychiatry, Box 8134
660 South
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