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Feature attention graph neural network for estimating brain age and identifying important neural connections in mouse models of genetic risk for Alzheimer’s disease

2023-12-14

Abstract excerpt

<h4>ABSTRACT</h4> Alzheimer’s disease (AD) remains one of the most extensively researched neurodegenerative disorders due to its widespread prevalence and complex risk factors. Age is a crucial risk factor for AD, which can be estimated by the disparity between physiological age and estimated brain age. To model AD risk more effectively, integrating biological, genetic, and cognitive markers is essential. Here, w...

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Literature Corpus work
a9585802-008a-5427-8667-09b0398e252d
DOI
10.1101/2023.12.13.571574
Open publication

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Feature attention graph neural network for estimating brain age and identifying important neural connections in mouse models of genetic risk for Alzheimer’s diseaseDOI 10.1101/2023.12.13.571574
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