Cris S. Constantinescu

The paper introduces a new coordinate-based meta-analysis method for neuroimaging studies that aims to be more interpretable by reducing empirical assumptions and linking statistical thresholds to effect replication.

This paper performs a coordinate-based meta-analysis to identify consistent grey matter loss in MS and CIS patients, finding significant clusters and correlations with disease duration.

This paper introduces CBMAN, a method that extends coordinate-based meta-analysis to estimate networks of correlated clusters in neuroimaging data.

This paper performs a coordinate-based meta-analysis of whole-brain voxel-based morphometry studies in PTSD and finds no consistent grey matter changes specific to PTSD.

The paper introduces ClusterZ, a method for coordinate-based random effect size meta-analysis and meta-regression in neuroimaging, which improves statistical significance determination by using false cluster discovery rate control.