The WU-Minn HCP Consortium is pleased to announce that version 1.2.0 of Connectome Workbench (WB) brain visualization and analysis software is now available at http://humanconnectome.org/software/get-connectome-workbench.html for 64-bit Mac OSX, Windows, and Linux. The Workbench distribution includes wb_view, a GUI-based visualization platform, and wb_command, a command-line program for performing a variety of algorithmic tasks using volume, surface, and grayordinate data.
New features in WB v1.2.0 include:
wb_view:
Refinements to wb_command:
-surface-average now takes per-surface weights, uses much less memory
-spec-file-relocate changes the location of a spec file relative to its data files
-scene-file-relocate changes the location of a scene file relative to its data files
-label-to-volume-mapping – new command, uses ribbon mapping method
…plus many refinements to existing commands and also various bug fixes.
You will also notice in the Scenes window, some reference to BALSA Scene and Study IDs. These are WB features that will become useful in the soon to be released Brain Analysis Library of Spatial Maps and Atlases (BALSA) database (stay tuned!).
WB v1.2.0 is compatible with the WB v1.0 tutorial and the processed 900 Subjects Group Average Data available to download at http://humanconnectome.org/software/get-connectome-workbench.html and on the ConnectomeDB HCP project page. Access to both datasets require ConnectomeDB login and signature of the HCP Open Access Data Use Terms.
To download the WB v1.2.0 source code from GitHub: follow the link, click releases (near the top of the page), then under v1.2.0, click the “Source code (zip)” or “Source code (tar.gz)” button.
We encourage you to check out Connectome Workbench v1.2.0 for visualizing and performing analysis on imaging data from the HCP and elsewhere and for making scenes and figures. Discussion of Connectome Workbench usage, bugs, and features can be posted to the hcp-users discussion list. Sign up for hcp-users at http://humanconnectome.org/contact/#subscribe
The member universities of the Human Connectome Project take privacy very seriously, whether dealing with participant data or the data of those visiting this website.
The participant data from our research into the Human Connectome that is stored in our XNAT server is de-identified, and contains no personal health information (PHI).
Our website collects names and email addresses via our contact form. This information is used solely by the administrators and members of the HCP website and is not shared, traded or sold to third parties under any circumstances.
Our website may also collect non-personal data about site visits, sessions, and IP addresses. This information is only used for diagnostic or debugging purposes, to help us optimize our website's performance, and is not shared externally. This is a standard practice for most websites, and this data is never linked with personally identifiable information.
This website contains links to other websites whose content we think is relevant. However, the HCP website is not responsible for maintaining or updating the content of these other sites. If any of these sites are found to contain irrelevant or offensive information, please contact us.
By using humanconnectome.org, you signify your agreement to our privacy policy as stated above. Note that this policy may be revised periodically without notice. Please re-read this policy prior to submitting any personal information if you have concerns about how your information is being collected and used.