Hi Jingwei,
You’ll want to use a mechanism similar to that discussed in this thread:
http://www.mail-archive.com/hcp-users@humanconnectome.org/msg04448.html
You can use the XNAT REST protocol to iterate over sessions and resources.
The files you’re wanting are structural preprocessing file
Hi,
I was trying to do gradient nonlinearity correction as part of the structural
pre-processing pipeline, which failed. Calling gradient_unwarp.py independently
produces the same error:
gradient_unwarp.py T1w.nii.gz trilinear.nii.gz siemens -g coeff.grad -n
gradient_unwarp.py fails to read
There is a bug in that command in the current release (1.2.3). Try the
"dev_latest" version matching your operating system here:
http://brainvis.wustl.edu/workbench/
You might also consider using -cifti-parcellate to get the average values
within all subcortical structures at the same time. If
Dear HCP teams,
I am now trying to use Amazon S3 on NITRC-CE, and I stucked with mounting
data from hcp-openaccess bucket to my instance. After I filled in blanks, the
system told me I had mount it successfully. But when I check the folder though
terminal, it shows nothing below.
I
hi Tim,
I tied to mount data using terminal, and I entered command: sudo s3fs
hcp-openaccess /s3mnt, and still, I got nothing under s3mnt folder.
And then I tried to use command: sudo mount hcp-openaccess /s3mnt
I think I input the bucket's name correctly,and I have entered the
Hi, Tim,
Thank you very much for your help! -cifti-parcellate and -cifti-convert
-to-text works. What is the easiest way to output label names (i.e.
PUTAMEN_RIGHT) into txt file using this approach?
Best regards,
Serguei Astafiev
From: Timothy Coalson [mailto:tsc...@mst.edu]
Sent: Tuesday, May
Unfortunately there isn't a particularly easy way to do this. There is
-cifti-label-export-table, from which you'd need to strip out the color
information (every other line). The label table of a dlabel file is also
shown in -file-information. These will work as long as all of the labels
have
