Article

Aging as an active player in Alzheimer’s Disease Classification: Insights from feature selection in BrainAge Models

2025-04-17

Abstract excerpt

<h4>Background</h4> BrainAge models estimate the biological age of the brain using neuroimaging or clinical features, making them promising tools for studying neurodegenerative diseases like Alzheimer’s disease. However, the reliance of BrainAge models on neuroimaging features such as grey matter volume and hippocampal atrophy, can introduce biases linked to individuals’ ages as these features are influenced both...

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Literature Corpus work: 70570f6e-e57f-5b81-a39a-7f5019bc7964
DOI: 10.1101/2025.04.16.25325953

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