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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
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Categories
Scientific/EngineeringLicense
MIT LicenseFollow CBIG
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