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Predicting brain amyloid-β PET phenotypes with graph convolutional networks based on functional MRI and multi-level functional connectivity

2021-08-29

Abstract excerpt

The detection of amyloid-β (Aβ) deposition in the brain provides crucial evidence in the clinical diagnosis of Alzheimer’s disease (AD). However, the efficiency of the current PET-based brain Aβ examination suffers from both coarse, visual inspection-based bi-class stratification and high scanning cost and risks. In this work, we explored the feasibility of using non-invasive functional magnetic resonance imaging...

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Literature Corpus work
ecadf370-6dee-5d9d-9c5a-05cab4ae6780
DOI
10.1101/2021.08.26.21262325
Open publication

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Predicting brain amyloid-β PET phenotypes with graph convolutional networks based on functional MRI and multi-level functional connectivityDOI 10.1101/2021.08.26.21262325
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