Supporting “arbitrary” formats requires putting a whole system in place for 
describing the format, and making it queryable.   The good thing is that if the 
pconn’s are available, users could use those inputs to their own derived 
graph-theoretic measures.

Cheers,
-MH

--
Michael Harms, Ph.D.
-----------------------------------------------------------
Associate Professor of Psychiatry
Washington University School of Medicine
Department of Psychiatry, Box 8134
660 South Euclid Ave.                        Tel: 314-747-6173
St. Louis, MO  63110                          Email: [email protected]

From: <[email protected]> on behalf of Caio Seguin 
<[email protected]>
Date: Thursday, February 7, 2019 at 4:52 PM
To: NEUROSCIENCE tim <[email protected]>
Cc: hcp-users <[email protected]>
Subject: Re: [HCP-Users] Sharing HCP-derived brain networks and graph-theoric 
measures

Thanks Tim and Matt for the quick reply.

Most of the files are NxN connectivity matrices, where N could denote, for 
instance, ROIs from different parcellation schemes or resting-state functional 
networks.

Ok, so one option is to transform these matrices into cifti files and share 
them through BALSA. On the one hand, this is a nice solution for it solves the 
user term uses. On the other, it is a bit of a roundabout way to store these 
files in the context of my manuscript. The matrices are used to derive 
graph-theoretic measures about brain organization (rather than for 
visualization purposes), so researchers interested in that would need to 
convert the cifti files back to CSV.

More generally, do you suggest any methods to share HCP-derived files in an 
arbitrary format?

Thanks in advance for the help.

Best,
Caio


Em sex, 8 de fev de 2019 às 06:19, Timothy Coalson 
<[email protected]<mailto:[email protected]>> escreveu:
If your data is organized as a value per parcel/network, you should be able to 
turn it into parcellated cifti files, which can be displayed in wb_view (and 
therefore in scenes) as a matrix and/or as colored regions on the surfaces and 
in the volume.

See wb_command -cifti-parcellate (to make a template parcellated cifti file you 
can use to import data into), -cifti-label-import (to get your network ROIs 
into the format -cifti-parcellate wants), and -cifti-convert (and its 
-from-text option, to read csv or other text data and output cifti).

Tim


On Thu, Feb 7, 2019 at 7:05 AM Caio Seguin 
<[email protected]<mailto:[email protected]>> wrote:
Dear experts,

I have used diffusion and resting-state functional MRI data from the HCP to 
derive whole brain connectomes for individual participants. I used the 
connectomes to computed graph-theoretic measures that are part of a manuscript 
I am working on.

My question concerns the sharing of these connectomes and graph-theoretic 
measures. My current understanding is that sharing this data is ok as long as I 
make sure users abide to the HCP data usage terms. What are your suggestions on 
how to do this?

I've seen BALSA proposed to this end, since it provides a built-in mechanism of 
user terms, but my files are CSV or .mat files rather than WB scenes.

Thanks in advance for your help.

Best regards,
Caio Seguin


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