Graph-theoretic comparisons of structural covariance networks: quantifying the false discovery rate
James Read‐Tannock, Andrew Reid, Etienne Farcot, Martin Schürmann, Christopher R. Madan
This study evaluates the reliability of structural covariance network analyses using MRI data, showing that small sample sizes and high-dimensional parcellations lead to unreliable graph-theoretic measures and inflated false discovery rates.
bioRxiv · Jun 29, 2026 · PreprintNeuroscience