David Geldmacher

The paper examines age-related GABA level changes in cognitively-intact oldest-old adults, finding that GABA decline flattens after age 80, suggesting a link between GABAergic function and successful cognitive aging.

This paper evaluates the polygenic risk score for Alzheimer's disease in Japanese individuals, showing its utility despite genetic differences from European populations.

The paper analyzes genomic data from early-onset and atypical dementia patients to show that both rare and common genetic variations contribute to dementia risk.

The paper examines the relationship between hippocampal structure and episodic memory in oldest-old adults, finding a significant correlation between hippocampal morphology and memory performance.

This study examines how network segregation in the brains of healthy oldest-old adults relates to cognitive performance and processing speed.

Genome sequencing for early-onset dementia identified genetic variants in 50% of patients, including pathogenic variants and moderate penetrance alleles, supporting an oligogenic model.

This paper develops a blood-based machine learning model to predict cerebral spinal fluid Aβ1-42 levels, showing high accuracy in identifying Alzheimer's disease risk.