John H. Gilmore

The paper introduces dGAMLSS, a distributed algorithm for fitting GAMLSS models to construct population reference charts without sharing patient data.

The paper examines the impact of perinatal factors on white matter microstructure in children aged 8-10 years using diffusion tensor imaging.

This study identifies two ASD subgroups with distinct brain morphology using cross-cultural datasets, highlighting key brain regions associated with subgroup characteristics and autistic traits.

The paper identifies age-specific brain-behavior sex differences in infants using functional connectivity and behavioral outcomes.

TwinEQTL provides a fast and powerful method for eQTL and GWAS analysis in twin studies by splitting twin samples and combining results with minimal power loss.

The paper introduces brain charts as a standardized resource for benchmarking brain morphology across the human lifespan using MRI data from a large and diverse cohort.