index.rst

NiGSP (NeuroImaging Graph Signal Processing)

A python library (and toolbox!) to run Graph Signal Processing on multimodal MRI data.

The project is currently under development stage alpha. Any suggestion/bug report is welcome! Feel free to open an issue.

This project follows the all-contributors specification. Contributions of any kind welcome!

Cite

If you use nigsp in your work, please cite either the all-time Zenodo DOI or the Zenodo DOI related to the version you are using. Please cite the following paper(s) too:

Preti, M.G., Van De Ville, D. Decoupling of brain function from structure reveals regional behavioral specialization in humans. Nat Commun 10, 4747 (2019). https://doi.org/10.1038/s41467-019-12765-7.

If you are using the Couple/Decoupled Functional Connectivity, please cite also:

Griffa, A., et al. Brain structure-function coupling provides signatures for task decoding and individual fingerprinting. NeuroImage 250, 118970 (2022). https://doi.org/10.1016/j.neuroimage.2022.118970.

.. toctree::
   :titlesonly:
   :maxdepth: 0

   NiGSP <self>

.. toctree::
   :caption: Usage
   :maxdepth: 5

   Installation <usage/installation>
   User Guide <usage/user_guide>
   Command Line Interface (CLI) <usage/cli>
   Output <usage/output>
   Licence <usage/licence>

.. toctree::
   :caption: API
   :maxdepth: 5
   :glob:

   api/*

.. toctree::
   :caption: Graph Signal Processing
   :maxdepth: 5

   About GSP <about_gsp>

.. toctree::
   :caption: Developers
   :maxdepth: 5

   How to Contribute <developers/how_to_contribute>
   Contributor Guide <developers/contributor_guide>
   Code of Conduct <developers/code_of_conduct>