NiGSP

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

The project is currently under development stage beta. 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.

Stefano Moia 🤔 💻 🚇 📖 📆

Nawal Kinani 🎨

Mathieu Scheltienne 🚇 📦

Maria Giulia Preti 🧑‍🏫 🤔 💻 🖋

Dimitri Van De Ville 🧑‍🏫 🤔 🖋 💵

License

Copyright 2022, Stefano Moia, EPFL.

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.