mne-nodes 0.1.0a4

A GUI with Node-Layout for data analysis MNE-Python

mne-nodes

A Node-GUI for MNE-Python

This is a GUI to facilitate offline MEG/EEG data processing with MNE-python. To visualize the data-flow a node-based approach is used.

Installation

1. Install MNE-python as instructed in the documentation

2. Open the command prompt and activate the conda-environment where you installed mne-python (or just open the command prompt when you installed mne-python with an installer)

3. Install mne-nodes:

   • Install the latest release with pip install mne-nodes

   or

   • Install the development version with pip install git+https://github.com/marsipu/mne-nodes.git@main

Update

Run pip install --upgrade --no-deps --force-reinstall git+https://github.com/marsipu/mne-nodes.git@main for an update to the development version or pip install --upgrade mne-nodes for the latest release.

Start

Run mne_nodes in the terminal of your conda-environment where you installed mne-python and mne-nodes

or

run __main__.py from the terminal or an IDE like PyCharm, VSCode, Atom, etc.

Bug-Report/Feature-Request

Please report bugs on GitHub as an issue. And if you got ideas on how to improve the pipeline or some feature-requests, you are welcome to open an issue as well.

Contribute

Contributions on bug fixes and implementation of new features are very welcome. Have a look at the contributing guidelines for more information on how to contribute.

Acknowledgments

• This application serves as a GUI for MNE-Python

A. Gramfort, M. Luessi, E. Larson, D. Engemann, D. Strohmeier, C. Brodbeck, L. Parkkonen, M. Hämäläinen, MNE software for processing MEG and EEG data, NeuroImage, Volume 86, 1 February 2014, Pages 446-460, ISSN 1053-8119, DOI

• mne-bids is used to read and write data in BIDS format and the tiny-bids-dataset is used for testing.
• mne-bids-pipeline served as inspiration for the processing steps and their implementation of bids-derivatives.
• Code from NodeGraphQt was used to implement the node-gui.
• The colorpalettes for light and dark theme are inspired from PyQtDarkTheme.
• The development was supported by Code Completion and Coding Agents (e.g. GitHub Copilot)

License

The mne-nodes project is licensed under the BSD-3-Clause license. It uses PySide6, which is licensed under the LGPL. When using qtpy with alternative Qt backends (e.g. PyQt6), the applicable licensing obligations are determined by the chosen backend.