This repository holds code to demo how to run a connectivity analysis pipeline with EBRAINS atlases using siibra-python and Nilearn.
Note
You can run this notebook on EBRAINS
Otherwise see instructions below for running the notebook locally.
- Python
- Jupyter notebook to edit and run the notebook interactively
- nilearn >= 0.9.0
- siibra == 0.4a77
- matplotlib
You can simply run pip install -r requirements.txt in a python virtual
environment (recommended) to install the dependencies.
Nilearn is a Python package providing statistical and machine-learning tools to enable analyses of brain volumes.
The documentation is available here.
The source code is available on GitHub here.
Siibra is a Python client for interacting with brain atlases defined across multiple scales and modalities.
The documentation is available here.
The source code is available on Github here.
Make sure you have the requirements installed and run the following notebook.
For any question you can contact Yasmin Mzayek at yasmin.mzayek@inria.fr.