Mapping amyloid beta predictors of entorhinal tau in preclinical Alzheimer's disease.

ABSTRACT:

Introduction

Amyloid beta (Aβ) plaques and hyperphosphorylated tau in the entorhinal regions are key Alzheimer's disease (AD) markers, but the spatial Aβ pathways influencing tau pathology remain unclear.

Methods

We applied predictive modeling to identify Aβ standardized uptake value ratio (SUVR) spatial patterns that predict entorhinal tau levels, future hippocampal volume, and Preclinical Alzheimer's Cognitive Composite (PACC) scores at 5-year follow-up. The model was trained on Alzheimer's Disease Neuroimaging Initiative (ADNI) (N = 237), incorporating amyloid-PET (positron emission tomography), tau-PET, magnetic resonance imaging (MRI), and cognitive data, and validated on Harvard Aging Brain Study (HABS) (N = 276).

Results

The model accurately predicted entorhina

SUBMITTER: Zamani J 

PROVIDER: S-EPMC11848422 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature