Shannon L. Risacher

Genetic architecture of the limbic white matter microstructure in aging and Alzheimer's Disease.

This study identifies genetic loci and pathways associated with limbic white matter microstructure in aging and Alzheimer's Disease using multi-cohort diffusion MRI and bulk RNA-seq data.

Predicting Autopsy-Confirmed Neuropathology across Clinical, Neuroimaging, and CSF Biomarkers using Machine Learning

The paper uses machine learning to predict autopsy-confirmed neuropathology from clinical, neuroimaging, and CSF biomarkers, finding that different modalities best predict specific pathologies.

Individualized Mapping of Functional Brain Networks in Older Adulthood

This study shows that individualized functional brain network mapping in older adults reveals more heterogeneity and improves network fidelity compared to group-averaged approaches.

A multi-ancestry polygenic risk score for Alzheimer disease is associated with cognitive decline, hippocampal atrophy and neuropathological hallmarks in diverse populations

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.

Sex, racial, and APOE-ϵ4 allele differences in longitudinal white matter microstructure in multiple cohorts of aging and Alzheimer's disease

The paper examines how sex, race, and APOE-ε4 allele status affect white matter microstructure across multiple aging and Alzheimer's disease cohorts.

Leveraging longitudinal diffusion MRI data to quantify differences in white matter microstructural decline in normal and abnormal aging

Genome-wide association study of brain biochemical phenotypes reveals distinct genetic architecture of Alzheimer's Disease related proteins

This study performs a genome-wide association study of brain biochemical phenotypes in Alzheimer's patients, identifying novel genetic loci and highlighting distinct genetic architectures for AD-related proteins.

Deep trans-omic network fusion reveals altered synaptic network in Alzheimer's Disease

The paper introduces MoFNet, a deep neural network that integrates multi-omic data to identify functional subnetworks associated with Alzheimer's Disease, showing replication in an independent cohort.

Genome Wide Analysis Across Alzheimer's Disease Endophenotypes: Main Effects and Stage Specific Interactions

The paper performs genome-wide association analysis on Alzheimer's disease endophenotypes to identify main effects and stage-specific genetic interactions.

Deep learning detection of informative features in tau PET for Alzheimer' s disease classification

This paper develops a deep learning framework using tau PET scans to classify Alzheimer's disease and identifies key brain regions associated with the disease.

Serum Metabolites Associate with Brain Amyloid Beta Deposition, Cognitive Dysfunction, and Alzheimers Disease Progression

The paper identifies serum metabolites associated with brain amyloid-beta deposition, cognitive dysfunction, and progression to Alzheimer's disease.

Differential brain atrophy and neurogenetic profiles in cognitively-defined Alzheimer's disease subgroups

The paper identifies cognitive subgroups in Alzheimer's disease based on MRI-derived atrophy patterns and links them to specific biological pathways using transcriptomic data.

Elevated plasma cortisol associated with larger ventricles and smaller hippocampal volumes, a study in 2 independent elderly cohorts

The paper investigates the association between elevated plasma cortisol and brain volume changes in elderly cohorts, finding larger ventricles and smaller hippocampal volumes.

Functional biological paths altered in Alzheimer's disease: from genes to bile acids

The paper integrates genomic and metabolomic data with biological networks to identify genetic variants and bile acids associated with Alzheimer's disease, revealing functional biological paths across multiple-omics layers.

Serum triglycerides in Alzheimer’s disease: Relation to neuroimaging and CSF biomarkers

The paper investigates the association between triglyceride principal component scores and Alzheimer's disease biomarkers in the ADNI cohort, finding significant links with MCI, AD, and specific brain structures.

Neuropathological correlates and genetic architecture of microglial activation in elderly human brain

The paper examines microglial activation in elderly brains, finding strong associations with neuropathology and cognitive decline, and identifies genetic overlaps with Alzheimer's disease.

Altered Bile Acid Profile Associates with Cognitive Impairment in Alzheimer’s Disease – An Emerging Role for Gut Microbiome

The paper identifies altered bile acid profiles in Alzheimer's disease, linking them to cognitive impairment and genetic variants through a large study.

Altered Bile Acid Profile in Mild Cognitive Impairment and Alzheimer’s Disease: Relationship to Neuroimaging and CSF Biomarkers

The paper identifies associations between serum bile acid metabolites and AD biomarkers in the A/T/N framework, suggesting a potential role for bile acid pathways in AD pathophysiology.