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Machine Learning for Missing Data Imputation in Alzheimer’s Research: Predicting Medial Temporal Lobe Flexibility

2025-05-27

Abstract excerpt

<h4>BACKGROUND</h4> Alzheimer’s disease (AD) begins years before symptoms appear, making early detection essential. The medial temporal lobe (MTL) is one of the earliest regions affected, and its network flexibility, a dynamic measure of brain connectivity, may serve as a sensitive biomarker of early decline. Cognitive (acquisition, generalization), genetic (APOE, ABCA7), and biochemical (P-tau217) markers may pr...

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Literature Corpus work
32b92e92-94d6-5df5-9fca-2e758b96d872
DOI
10.1101/2025.05.22.655574
Open publication

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Machine Learning for Missing Data Imputation in Alzheimer’s Research: Predicting Medial Temporal Lobe FlexibilityDOI 10.1101/2025.05.22.655574
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