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.
Reinder Vos de Wael - MICA Lab, Montreal Neurological Institute
Şeyma Bayrak - Max Planck Institute for Human Cognitive and Brain Sciences
Oualid Benkarim - MICA Lab, Montreal Neurological Institute
Sara Lariviere - MICA Lab, Montreal Neurological Institute
Raul Cruces - 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