Andraž Matkovič

QuNex Recipes provide a framework for creating executable, human-readable workflows to ensure reproducibility in neuroimaging research.

This study shows that changes in aperiodic EEG activity, not just oscillations, reflect cognitive state changes during working memory tasks, suggesting a need to include aperiodic components in EEG analysis.

The paper investigates brain-behavior associations using resting-state functional connectivity edges, finding that diverse edges are more informative than uniform ones, but using all edges provides the best generalizability.

QuNex provides a platform for reproducible neuroimaging analytics, integrating multi-modal tools and enabling scalable, high-throughput processing across species and datasets.

The paper compares static and dynamic functional connectivity methods in fMRI, finding that dynamic estimates capture similar information to static ones.