Clinical and pathologic correlations of machine learning quantification of Aβ deposits across three brain regions of decedents with Alzheimer's disease

The advent of machine learning enables scalable quantification of neuropathology, offering deeper phenotyping of Alzheimer's disease (AD). In this study, we quantified amyloid-beta (Aβ) deposits across multiple brain regions and examined their associations with clinical, demographic, and genetic factors in persons pathologically diagnosed with AD. We analyzed densities (#/mm2) of cored plaques, diffuse plaques, and cerebral amyloid angiopathy (CAA) in 273 individuals from three Alzheimer’s Disease Research Centers. Formalin-fixed paraffin-embedded sections of frontal, temporal, and parietal cortices were immunostained and digitized, generating 799 whole slide images (WSIs). Following log transformation, mixed-effects modeling revealed that the parietal cortex had the highest cored plaque densities (p < 0.001), while the temporal cortex had the highest diffuse plaque densities (p < 0.001); CAA showed no regional differences. Wilcoxon rank-sum tests and covariate-adjusted linear mod..., , # Data from: Clinical and pathologic correlations of machine learning quantification of Aβ deposits across three brain regions of decedents with Alzheimer's disease

Dataset DOI: [10.5061/dryad.7h44j107j](https://doi.org/10.5061/dryad.7h44j107j)

## Description of the data and file structure

# **UC Davis ADRC RO1 Whole Slide Image (WSI) Dataset (Part 1)**

## **Dataset Description**

This dataset contains whole slide images (WSIs) of Aβ-immunostained human brain tissue used in the study:

**Clinical and Pathologic Correlations of Machine Learning Quantification of Aβ Deposits Across Three Brain Regions of Decedents with Alzheimer's Disease.**

Because of file size constraints, the full WSI dataset is provided in **two parts**:

* **Part 1**
* **Part 2**

The content of each part is non-overlapping. Users should download **both Part 1 and Part 2** to access the complete WSI collection.

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## **Whole Slide Image Details**

* **Total WSIs:** 799
* **Tissue source:** 273 decedents with ..., We kept de-identification as a necessity by design for generating the data for this study.