Network density significantly influences coefficient estimates in functional connectomes, posing challenges for consistent analysis. Here, the authors analyze multimodal neuroimaging data and synthetic networks, revealing that statistical approaches affect metric estimates, especially at varying densities, and caution against over-reliance on thresholding, impacting graph-based studies across neuroscience and related fields.
- Alessandra Corso
- Valeria d’Andrea
- Manlio De Domenico
