Ali Mahzarnia

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.

The paper extends gene set enrichment analysis using likelihood ratio tests to identify VEGF as a pathway associated with Alzheimer's disease biomarkers and cognitive status.

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 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.