This workshop introduces faculty and students to brainlife.io for neuroimaging data management and analysis, focusing on datasets from the Center for Mesoscale Connectomics and analysis pipelines developed by projects across the NIH BRAIN CONNECTS program.

The lecture will introduce approaches to organizing datasets, running reproducible analyses, and sharing results. It will also demonstrate emerging AI agents being developed through BRAIN CONNECTS, illustrating how conversational interfaces can help researchers discover data, identify tools, and coordinate analysis workflows.

During the hands-on session, participants will follow updated brainlife.io tutorials to access and organize the Center’s datasets, learn how to upload their own data, and launch processing workflows. Examples will include established tools such as FreeSurfer, fMRIPrep, and QSIPrep, alongside specialized pipelines developed by BRAIN CONNECTS projects. Prepared outputs will support exploration of longer analyses. Participants will gain practical experience managing and analyzing connectomics data, supported by tutorials they can subsequently use in their research and teaching.