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4 October 2022 BRAPH 2.0: brain connectivity software with multilayer network analyses and machine learning (Conference Presentation)
Pablo Emiliano Gomez Ruiz, Anna Canal Garcia, Yu-Wei Chang, Mite Mijalkov, Daniel Vereb, Joana B. Pereira, Giovanni Volpe
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Proceedings Volume PC12204, Emerging Topics in Artificial Intelligence (ETAI) 2022; PC122040V (2022) https://doi.org/10.1117/12.2632349
Event: SPIE Nanoscience + Engineering, 2022, San Diego, California, United States
Abstract
Implementation of graph theory for novel approaches to analyze the brain in an easy, accurate, and reproducible manner requires a modern solution tool. Here, we present BRAPH 2.0 (BRain Analysis using graPH theory version 2.0, www.braph.org), a comprehensive extension of the first version of this software that includes these novel approaches. The MatLab-based BRAPH 2.0 uses object-oriented programming and a completely new software engine to provide clear, robust, clean, modular, maintainable, and testable code. The core of BRAPH 2.0 consists of a set of functions that can automatically transform a user-provided script into an object that is intertwined with the rest of the code. In this way, BRAPH 2.0 provides a scaffold on which users can define custom analysis pipelines with alternative network measures, additional statistical tests, or different options for network visualization.
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Pablo Emiliano Gomez Ruiz, Anna Canal Garcia, Yu-Wei Chang, Mite Mijalkov, Daniel Vereb, Joana B. Pereira, and Giovanni Volpe "BRAPH 2.0: brain connectivity software with multilayer network analyses and machine learning (Conference Presentation)", Proc. SPIE PC12204, Emerging Topics in Artificial Intelligence (ETAI) 2022, PC122040V (4 October 2022); https://doi.org/10.1117/12.2632349
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KEYWORDS
Brain
Machine learning
Network security
Statistical analysis
Diffusion tensor imaging
Algorithm development
Object oriented programming
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