CBIG is a comprehensive toolkit maintained by Thomas Yeo’s Computational Brain Imaging Group containing tools for processing and analyzing neuroimaging data—including fMRI preprocessing pipelines, brain parcellation algorithms, mental disorder subtyping models, fMRI dynamic models, registrations between brain spaces, and phenotypic prediction algorithms. After cloning/downloading this repository, please see README inside setup directory to see instructions on how to set up your local environment to be compatible with our repository. Brain parcellation tools (e.g., Yeo networks, Schaefer parcellations) for cortical mapping.

Features

  • fMRI preprocessing pipelines supporting standardized neuroimaging workflows
  • Brain parcellation tools (e.g., Yeo networks, Schaefer parcellations) for cortical mapping
  • Algorithms for subtype identification in mental disorders
  • Dynamic modeling tools such as neural mass models for brain dynamics
  • Registration utilities between MNI and fsaverage spaces for spatial alignment
  • Phenotypic prediction algorithms linking brain data with behavioral traits

Project Samples

Project Activity

See All Activity >

License

MIT License

Follow CBIG

CBIG Web Site

Other Useful Business Software
Full-stack observability with actually useful AI | Grafana Cloud Icon
Full-stack observability with actually useful AI | Grafana Cloud

Our generous forever free tier includes the full platform, including the AI Assistant, for 3 users with 10k metrics, 50GB logs, and 50GB traces.

Built on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
Create free account
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of CBIG!

Additional Project Details

Programming Language

MATLAB

Related Categories

MATLAB Scientific Engineering

Registered

2025-09-08