Using Human Connectome Project (HCP) data
Monday, December 11, 2017, 9:30am - 12:30 pm
Workshop Overview: This 3-hour hands-on workshop introduces attendees to practical tools and strategies for navigating, and working with Human Connectome Project (HCP) neuroimaging data (T1-, T2-, Diffusion-weighted MRI; fMRI; MEG) and cognitive tasks (memory, motor, language, decision-making, resting-state), from over 1000 healthy young individuals. The workshop also covers advanced neuroimaging data analysis and visualization tools (CIFTI, connectome workbench).
Attendees should bring their own laptops for the hands-on components of the workshop
Workshop Objectives attendees should:
- Be able to browse, search, and download HCP data thru browser-based and command-line tools
- Have a broad overview of the HCP analysis pipelines code base and how to query + adapt it
- Have gained exposure to connectome workbench software for manipulation of neuroimaging data
- Understand how to use the ciftify library to convert their own data to HCP-style cifti file format
In order to follow all hands-on demonstrations, attendees will need IN ADVANCE to:
- Have a working local installation of connectome workbench -
- Have a python installation. Ideally - https://conda.io/docs/user-guide/install/download.html
- Create a connectomeDB account - https://db.humanconnectome.org/
- Create a BALSA account (using connectomeDB details): https://balsa.wustl.edu/
- Obtain a scinet account - https://www.scinethpc.ca/getting-a-scinet-account/
Dr. Erin Dickie (PhD) is a Project Scientist in the Kimel Family Translational Imaging-Genetics (TIGR) Laboratory at the Centre for Addiction and Mental Health, Toronto
Dr. John Griffiths (PhD) is a Post-doctoral Fellow in the McIntosh Lab at the Rotman Research Institute
To attend the McGill broadcast please register here.
To attend the Rotman presentation please register here.