Kim G. Johnson

This paper develops a calibration-aware graph learning framework for brain-age modeling across multiple cohorts, finding that recalibration improves performance but cohort-specific calibration is needed for external application.

The paper analyzes olfactory biopsy samples from AD patients and pre-clinical stages using scRNA-seq to identify neuroinflammatory changes detectable in early disease.

This study uses a multiscale bundle analysis to examine how age and APOE genotype affect brain connectivity and cognitive metrics in cognitively normal individuals.

This paper identifies vulnerable brain networks associated with Alzheimer's disease risk using connectome analysis and composite risk factors, finding age and genotype as significant predictors.