Robert T. Schultz

This study examines subcortical brain development in infants with Down syndrome compared to controls from 6 to 12 months, finding reduced volumes and slower growth in most structures.

This paper introduces a self-supervised method to measure dependencies between biological signals and highlights its limitations in capturing extraneous dependencies.

The paper links early cell cycle gene expression in cortical organoids to interindividual variability in infant brain growth trajectories.

This paper introduces a Finsler geometry-based method for analyzing brain structural connectivity, showing improved accuracy compared to previous geodesic methods using HCP and autism data.

The paper identifies clinically relevant genetic dysfunction in ASD risk genes by analyzing whole-exome data from 2,381 individuals, finding associations between specific variants and cognitive symptoms.

This paper shows that diffusion tensor imaging data are site-specific and demonstrates that ComBat effectively harmonizes them while preserving biological variability.