BrainStat : A toolbox for statistical analysis of neuroimaging data
Welcome to BrainStat's documentation!
BrainStat is a toolbox for the statistical analysis and context decoding of neuroimaging data. It implements both univariate and multivariate linear models and interfaces with the BigBrain Atlas, Allen Human Brain Atlas and Nimare databases. BrainStat flexibly handles common surface, volume, and parcel level data formats, and provides a series of interactive visualization functions. The toolbox has been implemented in both Python and MATLAB, the two most widely adopted programming languages in the neuroimaging and neuroinformatics communities. It is openly available, and documented here.
- Sara Lariviere - MICA Lab, Montreal Neurological Institute
- Şeyma Bayrak - Max Planck Institute for Human Cognitive and Brain Sciences
- Reinder Vos de Wael - MICA Lab, Montreal Neurological Institute
- Oualid Benkarim - MICA Lab, Montreal Neurological Institute
- Raul Cruces - MICA Lab, Montreal Neurological Institute
- Jessica Royer - MICA Lab, Montreal Neurological Institute
- Peer Herholz - Montreal Neurological Institute
- Seok-Jun Hong - Sungkyunkwan University
- Sofie Valk - Max Planck Institute for Human Cognitive and Brain Sciences
- Boris Bernhardt - Montreal Neurological Institute
The BrainStat source code is available under the BSD (3-Clause) license.
If you have problems installing the software or questions about usage and documentation, or something else related to BrainStat, you can post to the Issues section of our repository.
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