Tom Montine

Network-based amyloid-beta pathology predicts subsequent cognitive decline in cognitively normal older adults

This study uses machine learning to show that integrating brain connectome data with amyloid-beta PET imaging improves prediction of cognitive decline in older adults.

Adversarial domain translation networks for fast and accurate integration of large-scale atlas-level single-cell datasets

Portal integrates large-scale single-cell datasets efficiently and accurately by preserving biological variation across samples, platforms, and species.

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.

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.

Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference

This paper introduces SuStaIn, a machine learning method that identifies disease subtypes and their temporal progression from cross-sectional data, improving prediction of diagnostic conversion in neurodegenerative diseases.

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.