Angela Lee Jefferson

The paper generates lifespan normative charts for cervical spinal cord morphometry using MRI data, revealing non-linear changes and sex differences across ages 0-100.

The paper develops an automated pipeline for segmenting and parcellating brainstem and subcortical white matter pathways using diffusion MRI data.

This study identifies genetic loci and pathways associated with limbic white matter microstructure in aging and Alzheimer's Disease using multi-cohort diffusion MRI and bulk RNA-seq data.

This study characterizes white matter asymmetry across the lifespan using a large dataset, revealing dynamic changes in asymmetry patterns with age.

The paper develops normative reference charts for white matter microstructure and macrostructure across the lifespan using diffusion MRI data from 50 studies.

The paper evaluates the variability of GAMLSS-based brain charts using analytic and empirical methods, finding low coefficient of variation across most white matter features.

The paper examines sex-specific gene expression associations with Alzheimer's disease neuropathology and cognitive performance using bulk transcriptomic data from 767 individuals.

This study shows that intermediate substrate stiffness promotes inflammation in human brain microvascular endothelial cells, which is reduced by fluid shear stress.

The paper identifies sex-specific genetic loci associated with memory, executive functioning, and language performance in older adults through genome-wide meta-analyses.

This study examines the association between APOE genotype and cognitive resilience in SuperAgers, finding lower APOE-ε4 and higher APOE-ε2 frequencies in non-Hispanic White SuperAgers compared to controls and Alzheimer's cases.

MidRISH harmonizes diffusion imaging data by projecting sites to a mid-space, reducing reference bias compared to LinearRISH.

The paper examines how sex, race, and APOE-ε4 allele status affect white matter microstructure across multiple aging and Alzheimer's disease cohorts.

The paper develops a variational autoencoder to harmonize multi-site diffusion MRI connectomes by isolating site-invariant features and preserving age-related modularity correlations.

This study identifies four novel genetic loci associated with soluble TREM2 levels in CSF through GWAS and provides functional validation of their roles in Alzheimer's disease.

This paper uses deep learning to predict brain age from MRI data and finds it correlates with cognitive impairment and decline.

The paper analyzes longitudinal MRI data from 1,293 subjects to study age-related changes in superficial white matter microstructure and U-fiber volume and length.

This study analyzes diffusion MRI data from 1184 participants to quantify age-related changes in white matter microstructure and macrostructure, finding that macrostructural features show more heterogeneous age-related decline.

This study identifies genetic variants and pathways associated with cognitive resilience to Alzheimer's disease, finding a novel locus linked to bile acid metabolism and methylation changes.

The paper investigates how free-water metrics in medial temporal lobe white matter tracts relate to cognitive decline, finding they add unique predictive value beyond hippocampal volume.