A Python package for publication-ready brain surface plots
Example Neurosynth association maps; see Example 1</figcaption> </figure>
surfplot is a flexible and easy-to-use package that makes publication-ready brain surface plots. Users can easily set the plot views and layout, add multiple data layers, draw outlines, and further customize their figure directly using matplotlib.
At its core, surfplot is simply a high-level interface to Brainspace’s excellent surface plotting and manipulation capabilities, which are built on top of Visualization Toolkit (VTK). Surfaces are rendered with Brainspace and then embedded into a matplotlib figure for easy integration with typical plotting workflows.
surfplot is designed around common use-cases for surface plotting and popular surface plotting software (e.g., Connectome Workbench). surfplot also provides some additional utility functions to streamline the plotting process.
If you encounter problems or bugs with surfplot, or have questions or improvement suggestions, please feel free to get in touch via the Github issues.
A big thank you to the Brainspace developers:
Vos de Wael R, Benkarim O, Paquola C, Lariviere S, Royer J, Tavakol S, Xu T, Hong S-J, Langs G, Valk S, Misic B, Milham M, Margulies D, Smallwood J, Bernhardt BC. 2020. BrainSpace: a toolbox for the analysis of macroscale gradients in neuroimaging and connectomics datasets. Communications Biology. 3:103.
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