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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 <https://brainspace.readthedocs.io>_.
Happy gradient analysis!
The BrainSpace 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 BrainSpace,
you can post to the Issues section of our repository <https://github.com/MICA-MNI/BrainSpace/issues>_.
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.
FAQs
Cortical gradients and beyond
We found that brainspace demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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