Beatrijs Moerkerke

The paper discusses methods to standardize effect sizes in fMRI data and presents approaches for meta-analyzing results across studies.

The paper introduces a cluster-based inference method for fMRI data that improves stability and interpretation by incorporating data analytical stability measures and dual FWE thresholds.

The paper develops a tool to assess robustness against publication bias in fMRI meta-analyses by simulating noise studies and testing parameter effects.

This study evaluates how different factors affect the reliability and balance of false and true positives in coordinate-based fMRI meta-analyses.