Adam M. Brickman

This paper develops an APOE-independent polygenic risk score for Alzheimer's disease that shows associations with cognitive decline and neuropathological markers across diverse populations.

The paper investigates two neuroinflammatory markers, YKL-40 and GFAP, and their associations with cerebrovascular injury, amyloid-beta, and downstream neurodegeneration in older adults without dementia.

This study identifies three novel genetic loci associated with brain arterial diameters through a genome-wide association analysis across diverse populations.

This study examines the relationship between white matter hyperintensities, medial temporal lobe volumes, and memory in older adults, finding that occipital hyperintensities are linked to reduced subregional volumes and worse memory performance.

The paper uses PET scans to identify brain amyloid patterns in individuals with Down syndrome that predict future dementia conversion.

This study compares imputation accuracy for rare and ultra-rare variants in an admixed Caribbean Hispanic population using different reference panels and tools, finding that larger reference panels improve imputation quality.

The paper uses MRI and machine learning to predict consciousness recovery and functional outcomes after haemorrhagic stroke by analyzing deep brain lesions.

The paper investigates how low white matter microstructure in young adults correlates with white matter hyperintensities in older adults, finding that normatively low fractional anisotropy regions are more prone to damage.

The paper uses whole exome sequencing in 20,197 individuals to identify rare variants associated with Alzheimer's disease, finding significant associations with SORL1 loss-of-function variants.