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Assessing Brain Involvement in Fabry Disease with Deep Learning and the Brain-Age Paradigm

2023-04-04

Abstract excerpt

<h4>Background</h4> While neurological manifestations are core features of Fabry disease (FD), quantitative neuroimaging biomarkers allowing to measure brain involvement are lacking. We used deep learning and the brain-age paradigm to assess whether FD patients’ brains appear older than normal and to validate brain-predicted age difference (brain-PAD) as a possible disease severity biomarker. <h4>Methods</h4> MRI...

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Literature Corpus work
dbaaa5ed-4c4a-5b2c-88e1-b87237aeafc8
DOI
10.1101/2023.04.04.23288000
Open publication

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Assessing Brain Involvement in Fabry Disease with Deep Learning and the Brain-Age ParadigmDOI 10.1101/2023.04.04.23288000
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