Cortical gradients and beyond
Project description
BrainSpace is a lightweight cross-platform toolbox primarily intended for macroscale gradient mapping and analysis of neuroimaging and connectome level data. The current version of BrainSpace is available in Python and MATLAB, programming languages widely used by the neuroimaging and network neuroscience communities. The toolbox also contains several maps that allow for exploratory analysis of gradient correspondence with other brain-derived features, together with tools to generate spatial null models.
For installation instructions, examples and documentation of BrainSpace see our documentation.
Happy gradient analysis!
License
The BrainSpace source code is available under the BSD (3-Clause) license.
Support
If you have problems installing the software or questions about usage and documentation, or something else related to BrainSpace, you can post to the Issues section of our repository.
Paper
If you consider using BrainSpace, please cite our manuscript: Vos de Wael R, Benkarim O, Paquola C, Lariviere S, Royer J, Tavakol S, Xu T, Hong S, Langs G, Valk S, Misic B, Milham M, Margulies D, Smallwood J, Bernhardt B (2020). BrainSpace: a toolbox for the analysis of macroscale gradients in neuroimaging and connectomics datasets. Commun Biol 3, 103.
Core development team
Reinder Vos de Wael, MICA Lab - Montreal Neurological Institute
Oualid Benkarim, MICA Lab - Montreal Neurological Institute
Boris Bernhardt, MICA Lab - Montreal Neurological Institute
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Source Distribution
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