Mapping and plotting cerebellar fMRI data in Python
Project description
The package provides some basic functionality of the original SUIT toolbox for Matlab (https://github.com/jdiedrichsen/suit). Currently, only mapping of volume data to the flatmap and display of the flatmap are implemented.
Important links
SUIT website: http://diedrichsenlab.org/imaging/suit.htm
Official source code repository: https://github.com/SUITPy/
HTML documentation (latest release): https://suitpy.readthedocs.io/
Dependencies
The required dependencies to use the software are:
python >= 3.6
setuptools
numpy >= 1.16
nibabel >= 2.5
pandas >= 0.24
matplotlib >= 1.5.1
scipy >=1.0
Install
First make sure you have installed all the dependencies listed above. Then you can install SUITPy by running the following command in a command prompt:
pip install -U --user SUITPy
More detailed instructions are available at https://suitpy.readthedocs.io/en/latest/install.html
Licence and Acknowledgements
The Python version of the SUIT toolbox has been developed by the Diedrichsenlab including J. Diedrichsen, M. King, D. Zhi, C. Hernandez-Castillo, S. Witt and others. It is distributed under MIT License, meaning that it can be freely used and re-used, as long as proper attribution in form of acknowledgments and links (for online use) or citations (in publications) are given. The relevant references are:
SUIT normalisation and template:
Diedrichsen, J. (2006). A spatially unbiased atlas template of the human cerebellum. Neuroimage. 33(1), 127-138.
Surface-based representation and flatmap
Diedrichsen, J. & Zotow, E. (2015). Surface-based display of volume-averaged cerebellar data. PLOSOne.
Project details
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