https://github.com/MIPLabCH/nigsp

NiGSP: a module for graph signal processing on neuroimaging data
https://github.com/MIPLabCH/nigsp

brain hacktoberfest mri neuroimaging python

Last synced: about 1 year ago
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NiGSP: a module for graph signal processing on neuroimaging data

• Host: GitHub
• URL: https://github.com/MIPLabCH/nigsp
• Owner: MIPLabCH
• License: apache-2.0
• Created: 2022-01-11T12:09:44.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2024-10-08T08:46:45.000Z (over 1 year ago)
• Last Synced: 2024-11-06T07:05:44.848Z (over 1 year ago)
• Topics: brain, hacktoberfest, mri, neuroimaging, python
• Language: Python
• Homepage: https://nigsp.readthedocs.io/en/latest/
• Size: 2.56 MB
• Stars: 18
• Watchers: 3
• Forks: 12
• Open Issues: 12
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • License: LICENSE

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README

          



NiGSP

=====

[![Latest version](https://img.shields.io/github/v/release/MIPLabCH/nigsp?style=flat&logo=github&sort=semver)](https://github.com/MIPLabCH/nigsp/releases)

[![Release date](https://img.shields.io/github/release-date/MIPLabCH/nigsp?style=flat&logo=github)](https://github.com/MIPLabCH/nigsp/releases)

[![Auto Release](https://img.shields.io/badge/release-auto.svg?style=flat&colorA=888888&colorB=9B065A&label=auto&logo=data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABQAAAAUCAYAAACNiR0NAAACzElEQVR4AYXBW2iVBQAA4O+/nLlLO9NM7JSXasko2ASZMaKyhRKEDH2ohxHVWy6EiIiiLOgiZG9CtdgG0VNQoJEXRogVgZYylI1skiKVITPTTtnv3M7+v8UvnG3M+r7APLIRxStn69qzqeBBrMYyBDiL4SD0VeFmRwtrkrI5IjP0F7rjzrSjvbTqwubiLZffySrhRrSghBJa8EBYY0NyLJt8bDBOtzbEY72TldQ1kRm6otana8JK3/kzN/3V/NBPU6HsNnNlZAz/ukOalb0RBJKeQnykd7LiX5Fp/YXuQlfUuhXbg8Di5GL9jbXFq/tLa86PpxPhAPrwCYaiorS8L/uuPJh1hZFbcR8mewrx0d7JShr3F7pNW4vX0GRakKWVk7taDq7uPvFWw8YkMcPVb+vfvfRZ1i7zqFwjtmFouL72y6C/0L0Ie3GvaQXRyYVB3YZNE32/+A/D9bVLcRB3yw3hkRCdaDUtFl6Ykr20aaLvKoqIXUdbMj6GFzAmdxfWx9iIRrkDr1f27cFONGMUo/gRI/jNbIMYxJOoR1cY0OGaVPb5z9mlKbyJP/EsdmIXvsFmM7Ql42nEblX3xI1BbYbTkXCqRnxUbgzPo4T7sQBNeBG7zbAiDI8nWfZDhQWYCG4PFr+HMBQ6l5VPJybeRyJXwsdYJ/cRnlJV0yB4ZlUYtFQIkMZnst8fRrPcKezHCblz2IInMIkPzbbyb9mW42nWInc2xmE0y61AJ06oGsXL5rcOK1UdCbEXiVwNXsEy/6+EbaiVG8eeEAfxvaoSBnCH61uOD7BS1Ul8ESHBKWxCrdyd6EYNKihgEVrwOAbQruoytuBYIFfAc3gVN6iawhjKyNCEpYhVJXgbOzARyaU4hCtYizq5EI1YgiUoIlT1B7ZjByqmRWYbwtdYjoWoN7+LOIQefIqKawLzK6ID69GGpQgwhhEcwGGUzfEPAiPqsCXadFsAAAAASUVORK5CYII=)](https://github.com/intuit/auto)

[![See the documentation at: https://nigsp.readthedocs.io](https://img.shields.io/badge/docs-read%20latest-informational?style=flat&logo=readthedocs)](https://nigsp.readthedocs.io/en/latest/?badge=latest)

[![Latest DOI](https://zenodo.org/badge/446805866.svg?style=flat&logo=zenodo)](https://zenodo.org/badge/latestdoi/446805866)

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[![Documentation Status](https://img.shields.io/readthedocs/nigsp?style=flat&label=readthedocs&logo=readthedocs)](https://nigsp.readthedocs.io/en/latest/?badge=latest)

[![Latest version](https://img.shields.io/pypi/v/nigsp?style=flat&logo=pypi&logoColor=white)](https://pypi.org/project/nigsp/)

[![Supports python version](https://img.shields.io/pypi/pyversions/nigsp?style=flat&logo=python&logoColor=white)](https://pypi.org/project/nigsp/)

[![All Contributors](https://img.shields.io/badge/all_contributors-5-orange.svg?style=flat)](#contributors)

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

Full documentation [on ReadTheDocs](https://nigsp.readthedocs.io/en/latest)

**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](https://github.com/all-contributors/all-contributors) specification. Contributions of any kind welcome!

Cite

====

If you use `nigsp` in your work, **please cite either the all-time Zenodo DOI** [![general Zenodo DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.6373436.svg)](https://zenodo.org/badge/latestdoi/446805866) **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.