Integrating Connectomics Constraints in Event‐Based Modeling of Alzheimer's Disease Progression: An Analysis of ADNI PET Data
Mahdieh Vahdatian, Yuji Zhao, Anvar Kurmukov, Boris A Gutman · 2025
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Description
Mahdieh Vahdatian and co-authors model the order in which Alzheimer's disease changes unfold in the brain, in a 2025 paper. The disease does not strike every region at once, and patients differ in their path. The team used an event-based model, which treats each change as a step in a sequence. They added maps of how brain regions connect, drawn from connectomics, to sharpen the sequence.
The data came from the Alzheimer's Disease Neuroimaging Initiative, spanning healthy adults and patients at several stages of impairment. Three kinds of brain scan tracked amyloid, tau, and sugar use across regions. The model placed early amyloid buildup in regions matching the brain's default mode network. Sugar use dropped earliest in many of the same areas. The authors say the approach could support earlier diagnosis and more personal treatment planning.
Catalog record
| CREATOR | Mahdieh Vahdatian, Yuji Zhao, Anvar Kurmukov, Boris A Gutman |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 3 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |