BRAPH 2.0: Software for the analysis of brain connectivity with graph theory

Pablo Emiliano Gomez Ruiz; Anna Canal Garcia; Mite Mijalkov; Joana B. Pereira; Giovanni Volpe

doi:10.1117/12.2570668

20 August 2020 BRAPH 2.0: Software for the analysis of brain connectivity with graph theory

Pablo Emiliano Gomez Ruiz, Anna Canal Garcia, Mite Mijalkov, Joana B. Pereira, Giovanni Volpe

Proceedings Volume 11469, Emerging Topics in Artificial Intelligence 2020; 114691V (2020) https://doi.org/10.1117/12.2570668
Event: SPIE Nanoscience + Engineering, 2020, Online Only

Conference Poster

Abstract

There is increasing evidence showing that graph theory is a promising tool to study the human brain connectome. By representing brain regions and their connections as nodes and edges, it allows assessing properties that reflect how well brain networks are organized and how they become disrupted in neurological diseases such as Alzheimer’s disease, Parkinson’s disease, epilepsy, schizophrenia, multiple sclerosis and autism. Here, we present BRAPH 2.0 (BRain Analysis using graPH theory version 2.0), which is a major update of the first object-oriented open source software written in Matlab for graph-theoretical analysis that also implements a graphical interface (GUI). BRAPH utilizes the capability of object-oriented programming paradigm to provide clear, robust, clean, modular, maintainable, and testable code.

Conference Presentation

Citation Download Citation

Pablo Emiliano Gomez Ruiz, Anna Canal Garcia, Mite Mijalkov, Joana B. Pereira, and Giovanni Volpe "BRAPH 2.0: Software for the analysis of brain connectivity with graph theory", Proc. SPIE 11469, Emerging Topics in Artificial Intelligence 2020, 114691V (20 August 2020); https://doi.org/10.1117/12.2570668

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