SUITPy Documentation

SUITPy is a Python toolbox for the analysis of imaging data from the human cerebellum. With the new version 2 release it will have most of the functionality of the SUIT toolbox for Matlab (https://github.com/jdiedrichsen/suit). The newest developments will be implemented in the Python version.

Contents:

• Installation
• Quick start tutorial for fMRI
• Quick start tutorial for anatomical analysis
• Isolation Module
• Normalization module
• Reslice Module
• Flatmap Module
• Cerebellar Atlases
• Module and Function reference

Important links

• SUIT website: http://diedrichsenlab.org/imaging/suit.htm

• Tutorial notebooks and data examples: https://github.com/diedrichsenlab/SUITPy/docs/source/tutorials

• Repository of the Python version: https://github.com/diedrichsenlab/SUITPy

• Repository of the Matlab version: https://github.com/jdiedrichsen/SUIT

Citation

If you use SUITPy in your research, please cite: Wang, Y., Li, Y., Arafat, B., Ashkanichenarlogh, V., Nettekoven, C., Pinho, A. L., Hernandez-Castillo, C. R., Marquand, A. F., & Diedrichsen, J. (2026). SUITPy: A Python-based toolbox for the analysis of cerebellar functional and anatomical imaging data across the human lifespan. Imaging Neuroscience, 4, IMAG.a.1323. doi: 10.1162/IMAG.a.1323

Acknowledgements

SUITPy is developed by the Diedrichsenlab and collaborators, including Carlos Hernandez-Castillo, Yao Li, Yaping Wang, Bassel Arafat, Caroline Nettekoven, Ladan Shahshahani, Da Zhi, Maedbh King, Jorn Diedrichsen, and many others.

Funding for this work was provided by:

Indices and tables

• Index

• Module Index

• Search Page