Network rewiring algorithms for connectomes

COEX 

I will introduce and demonstrate connectome rewiring algorithms to generate null models. I will begin by describing the key requirements of a rewiring algorithm, including computational efficiency and preservation of basic topological properties, and introduce the Maslov-Sneppen rewiring method. I will then briefly overview advanced rewiring algorithms that are suited to weighted and directed connectivity measures. Examples will be provided to demonstrate the application of various rewiring algorithms to hypothesis testing on the connectome. I will conclude with key recommendations and best practices for the use of rewiring algorithms in network neuroscience and provide a summary of relevant computer codes and packages. My presentation is suited for newcomers to the field and researchers with basic experience.