Colloquium: Increasing robustness and reproducibility in network neuroscience through multiverse analysis – The Comet toolbox

5 November 2024

Colloquium by Micha Burkhardt, University of Oldenburg

Abstract:

The analysis of dynamic functional connectivity (dFC) offers exciting insights into the evolving networks of the brain. However, this area faces challenges in achieving robust and reproducible results due to the variety of methods and analyses needed for complex workflows. The intricate nature of brain networks, combined with diverse methodological choices, highlights the need for unified frameworks to systematically test and validate dFC approaches within network neuroscience.

To address this need, we introduce the Comet toolbox, an open-source Python package designed for network neuroscience, dFC, and multiverse analysis. Comet integrates a wide range of dFC methods with graph-based analysis tools, allowing researchers to explore the dynamic organization of brain networks. By incorporating multiverse analysis, Comet helps assess the robustness of network findings across different analytical paths. Built with researchers in mind, Comet features an intuitive interface and extensive demo scripts, making it easy to incorporate into diverse workflows. Our work aims to enhance transparency and generalizability in neuroimaging studies, providing a platform for rigorous exploration of brain dynamics.

Date and time: 05 Nov 2024, 15:00 p.m., zoom webinar (link mailed to list)