Installation • Examples • Cite us • License

An object-oriented software that provides pipelines for conventional brain connectivity analysis as well as more advanced methods, including multilayer networks and deep learning methods.

BRAPH 2 requires at least MATLAB R2021a. BRAPH 2 requires both Statistics and Machine Learning Toolbox and Parallel Computing Toolbox. For deep learning analysis, Deep Learning Toolbox and Deep Learning Toolbox Converter for ONNX Model Format are also needed.

To install BRAPH 2, first download BRAPH 2. From our GitHub repository, you can find the latest stable version in the branch master and the latest development version in the branch develop. You can also download BRAPH 2 from our website.

After unzipping the downloaded file into the desired directory and launching MATLAB, change the current folder to braph2genesis and run braph2genesis (you may have to add it to the path). This installation takes around 5 minutes. The installation will be only needed once. You can also follow the Installation section from our website.

BRAPH 2 is a powerful tool that transforms scripts to pipelines. We provide example data in order to test the different analyses and comparisons from the provided pipelines. Please check the Tutorials section from our website for the step-by-step instructions and more details.

If you use BRAPH 2 in your project, please cite us here:

Emiliano Gomez-Ruiz, Anna Canal-Garcia, Yu-Wei Chang, Daniel Vereb, 
Eric Westman, Mite Mijalkov, Joana Pereira, Giovanni Volpe
BRAPH 2: A software for brain connectivity analysis 
with multilayer graphs and deep learning.

See also:

https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0178798:

Mite Mijalkov, Ehsan Kakaei, Joana B Pereira, Eric Westman, Giovanni Volpe
BRAPH: A graph theory software for the analysis of brain connectivity.
PLOS ONE 12, e0178798 (2017).