Jun Young Park

The paper introduces CEIDR, a method to test individual differences in intermodal brain coupling, and demonstrates its application in neurodevelopmental studies.

The paper proposes a method to test causality between genetic variants and brain imaging modalities for Alzheimer's disease using summary statistics from GWAS data.

The paper introduces SAN, a method to harmonize cortical thickness data across scanners by normalizing spatial autocorrelation, improving data quality and reproducibility.

The paper introduces CLEAN-R, a method to test and localize intermodal correspondence in neuroimaging data, demonstrating high statistical power and nominal type I error levels.

CLEAN improves clusterwise inference in neuroimaging by accounting for spatial autocorrelation, enhancing sensitivity and reproducibility.