Skip to main content

Functional brain network analysis protocol developed by Varga et al., 2024

Project description

BrainDynamics protocol

This protocol is based on our method: Varga, L. et al. Brain dynamics supported by a hierarchy of complex correlation patterns defining a robust functional architecture. Cell Systems, Volume 15, Issue 8, 770 - 786.e5 (2024). DOI: https://doi.org/10.1016/j.cels.2024.07.003

Requirements

  • Python (tested for 3.12 and later versions)

    • igraph (0.11.6 or later)
    • pandas (2.2.2 or later)
    • scipy (1.14.0 or later)
    • matplotlib (3.9.2 or later)
    • cliffs_delta (1.0.0 or later)
  • C/C++ compiler (e.g. gcc on Linux, Xcode Developer Tools for MacOS or Visual C++ Build Tools on Windows)

Setting up

1) Set up virtual python environment using python or conda.

For example:

python -m venv braindynamics_env

OR via Anaconda:

conda create --name braindynamics_env python=3.12

2) Install package from PyPi

 pip install braindynamics-starprotocol

3) Usage

For an example of the pipeline, check examples/pipeline_example.ipynb notebook, or run the .py file with the same name.

For more details, you can also refer to the documentation available on ReadTheDocs

Link to the PyPi project site for release history: https://pypi.org/project/braindynamics-starprotocol

4) Citation

Please cite our publication when using our code: Varga, L. et al. Protocol to study brain dynamics of mammals through the hierarchy of complex correlation patterns defining a robust functional architecture. STAR Protocols, Volume 6, Issue 2, 103693 (2025). DOI: https://doi.org/10.1016/j.xpro.2025.103693

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

braindynamics_starprotocol-1.0.2.tar.gz (166.4 kB view details)

Uploaded Source

File details

Details for the file braindynamics_starprotocol-1.0.2.tar.gz.

File metadata

File hashes

Hashes for braindynamics_starprotocol-1.0.2.tar.gz
Algorithm Hash digest
SHA256 fcc54aedba53e7380b44ff42f8ad83c8327c3bc27fcc7fac6cda75579337927f
MD5 06fccd5733355196ed9259aaa5d53d26
BLAKE2b-256 69eb7f56b672de8aff7b8b47c357e7a9e6f1e1335e865557dd7e81a601684f46

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page