Robert J. Anderson

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.

This study examines how voluntary and enforced exercise affect brain structure, function, and behavior in Alzheimer's disease models using neuroimaging techniques.

This study identifies network biomarkers of Alzheimer's disease risk in mouse models by analyzing joint volume and texture covariance patterns influenced by genetic, dietary, and immune factors.

This study identifies olfactory deficits as early biomarkers of Alzheimer's disease risk by linking behavior, brain networks, and blood transcriptomics in humanized APOE mice.

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 predicts brain age in mouse AD models using FAGNN, identifying key neural connections and showing APOE2's neuroprotective role against aging.

This study investigates how APOE, immune factors, sex, and diet interact to shape brain networks in mouse models of aging, identifying shared vulnerabilities in key circuits.

This study investigates how APOE2 alleles affect brain vulnerability and resilience in aging mice, identifying age-related brain atrophy, sex differences, and gene expression changes.

This study examines structural brain changes and connectivity differences in AMD patients compared to controls using MRI diffusion data over two years.

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.

The paper introduces a new metric, absolute winding number, to differentiate spatial navigation strategies in mice with different APOE alleles, revealing genotype and sex differences linked to Alzheimer's disease risk.

This study examines the heritability of mouse brain connectomes using high-resolution MRI and finds high heritability in brain volumes and diffusion metrics.