Eric M. Reiman

Interpretable deep learning framework for understanding molecular changes in human brains with Alzheimer's disease: implication for microglia activation and sex differences

This paper uses an interpretable deep learning framework to analyze transcriptomic data from Alzheimer's disease brain tissues, identifying gene signatures and sex-specific modules associated with microglia activation and neuronal loss.

Phenome-Wide Association of APOE Alleles in the All of Us Research Program

This study performs a phenome-wide association analysis of APOE alleles in the All of Us Research Program, identifying significant associations with various health outcomes and highlighting sex and ancestry differences.

Deciphering Distinct Genetic Risk Factors for FTLD-TDP Pathological Subtypes via Whole-Genome Sequencing

This study identifies genetic risk factors for FTLD-TDP subtypes using whole-genome sequencing and meta-analysis across multiple cohorts.

A public resource of single cell transcriptomes and multiscale networks from persons with and without Alzheimer's disease

The paper provides a public resource of single nucleus RNA sequencing data and multiscale networks from Alzheimer's disease and non-disease individuals, linking genetic variants to molecular features and revealing novel disease biology.

Combining Blood-Based Biomarkers and Structural MRI Measurements to Distinguish Persons With and Without Significant Amyloid Plaques

This paper develops and validates an integrated model combining MRI and blood-based biomarkers to predict brain amyloid PET positivity with high accuracy.

The frequency of pathogenic variation in the All of Us cohort reveals ancestry-driven disparities

The paper analyzes pathogenic variant frequencies in the All of Us cohort by ancestry, revealing disparities and potential biases in genomic data.

Upregulation of the Proto-Oncogene Src Kinase in Alzheimer's Disease: From Molecular Interactions to Therapeutic Potential

This study shows Src kinase is upregulated and phosphorylated in Alzheimer's disease, interacts with Tau, and may be a therapeutic target.

APOE4/4 is linked to damaging lipid droplets in Alzheimer's microglia

The paper links APOE4/4 genotype to lipid droplet accumulation in Alzheimer's microglia, showing its role in neurotoxicity through triglyceride synthesis and Tau phosphorylation.

Deep Learning-Based Brain Transcriptomic Signatures Associated with the Neuropathological and Clinical Severity of Alzheimer's Disease

The paper uses deep learning to analyze RNA-seq data from Alzheimer's disease brain donors, identifying transcriptomic signatures linked to neuropathology and clinical severity.

FEDERATED MORPHOMETRY FEATURE SELECTION FOR HIPPOCAMPAL MORPHOMETRY ASSOCIATED BETA-AMYLOID AND TAU PATHOLOGY

This paper introduces FMFS, a framework for selecting hippocampal morphometry features linked to Aβ/tau pathology, showing it outperforms existing methods and identifies key subregions for biomarker development.

Predicting Brain Amyloid using Multivariate Morphometry Statistics, Sparse Coding, and Correntropy: Validation in 1,101 Individuals from the ADNI and OASIS Databases

This paper develops a method to predict brain amyloid burden using MRI-based morphometry statistics and sparse coding, achieving high accuracy in ADNI and OASIS cohorts.

Genetic control of the human brain proteome

The paper identifies pQTLs for brain proteins and finds they differ from eQTLs, suggesting distinct genetic control of mRNA and protein abundance.

Spread of pathological tau proteins through communicating neurons in human Alzheimer’s disease

This study uses an epidemic spreading model to show that tau spreads through neuronal connections in Alzheimer's disease, with beta-amyloid accelerating this process in some brain regions.

Severe Hyposmia Distinguishes Neuropathologically Confirmed Dementia with Lewy Bodies from Alzheimer’s Disease Dementia

This study finds that severe hyposmia (reduced sense of smell) is a distinguishing feature between dementia with Lewy bodies and Alzheimer’s disease dementia, based on neuropathological confirmation.

A Consensus Proteomic Analysis of Alzheimer's Disease Brain and Cerebrospinal Fluid Reveals Early Changes in Energy Metabolism Associated with Microglia and Astrocyte Activation

The paper identifies protein network modules in Alzheimer's disease brains and cerebrospinal fluid that are associated with energy metabolism and neuroinflammation, suggesting potential biomarkers and therapeutic targets.

Multimodal Hippocampal Subfield Grading For Alzheimer’s Disease Classification

This study compares whole hippocampus and subfield biomarkers for Alzheimer’s disease detection and prediction using multimodal MRI data, finding subiculum biomarkers improve prediction accuracy.

Faster Cognitive Decline in Dementia due to Alzheimer Disease with Clinically Undiagnosed Lewy Body Disease

This study compares cognitive decline rates in Alzheimer's disease with and without clinically undiagnosed Lewy body disease, finding faster decline in those with undiagnosed Lewy body disease.

Large-scale proteomic analysis of human prefrontal cortex identifies proteins associated with cognitive trajectory in advanced age

The paper identifies 579 proteins associated with cognitive trajectory in aging using proteomic analysis of human prefrontal cortex, highlighting mitochondrial and synaptic processes linked to cognitive stability.

Heritability of regional brain volumes in large-scale neuroimaging and genetic studies

The paper examines the heritability of regional brain volumes using genetic and neuroimaging data from multiple cohorts, finding high heritability and consistent patterns across populations.