Douglas Dean

The paper estimates age-related changes in metabolite relaxation times in pediatric thalamus using MRS and provides linear equations for age-specific correction.

The paper analyzes age-related changes in neurometabolite concentrations in infants using 1H-MRS data from the HBCD study, finding significant increases in some metabolites and decreases in others.

The paper introduces STRATA, a machine learning framework that estimates cell type proportions from MRI data, validated across disease models and species.

This paper develops a water relaxation atlas to correct metabolite concentrations in MRS by integrating age and region-specific relaxation values into the analysis workflow.

This study compares the test-retest reproducibility of DESPOT and QALAS for T1 and T2 mapping in healthy volunteers, finding QALAS provides better reproducibility and reduced acquisition time.

This study examines the development of amygdala functional networks in infants and young children using resting-state fMRI, finding that key networks are already present at 3 months and evolve with age.