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.
- nigsp package
- nigsp.blocks module
- nigsp.io module
- nigsp.objects module
- nigsp.operations package
- nigsp.operations.graph module
- nigsp.operations.laplacian module
- nigsp.operations.metrics module
- nigsp.operations.nifti module
- nigsp.operations.surrogates module
- nigsp.operations.timeseries module
- nigsp.utils module
- nigsp.viz module
- nigsp.workflow module