T. Jason Druzgal

This study shows that FreeSurfer's eTIV estimates are inaccurate in developmental cohorts and proposes solutions with newer versions.

The paper introduces a novel metric, estimated axonal latency, to measure neuronal processing speed in autism spectrum disorder using MRI and EEG data.

This study uses 3T-CSD to analyze diffusion MRI microstructure across the lifespan, finding age-related changes in signal fractions across brain regions.

This paper introduces a novel FOD-based registration method using the NTU-DSI-122 template, showing improved reliability and accuracy compared to intensity-based registration for dMRI data.

This study identifies widespread associations between behavioral metrics and brain microstructure in ASD, suggesting age-related changes may drive different behavioral subtypes.

This study links accelerated epigenetic age (GrimAge) to white matter degeneration in the human brain using diffusion MRI and longitudinal data.

This study uses MRI metrics to identify microstructural differences in myelin and axons between ASD and neurotypical adolescents, finding increased extracellular water and decreased g-ratio and conduction velocity.

This study examines how screen time affects neural maturation in adolescents using brain MRI data, finding mixed effects on brain structure and microstructure.

This study evaluates the reliability and long-term stability of 3-tissue constrained spherical deconvolution methods for diffusion MRI across different test-retest intervals and acquisition parameters.