Mark A. Eckert

The paper creates morphology-specific templates to study structural covariance of single and duplicated Heschl's gyrus, finding similar covariance patterns across different morphologies.

The paper examines cerebral asymmetries using deformation-based methods, showing that tuning parameters improves the precision of asymmetry measurements in specific brain regions.

The paper shows that reading disability profiles can be reliably identified from incomplete behavioral data using Random Forest classification after multiple imputation with missForest.