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Analysing heterogeneity in Alzheimer Disease using multimodal normative modelling on ATN biomarkers
April 10, 2024, 4:42 a.m. | Sayantan Kumara, Thomas Earnest, Braden Yang, Deydeep Kothapalli, Tammie L. S. Benzinger, Brian A. Gordon, Philip Payne, Aristeidis Sotiras
cs.LG updates on arXiv.org arxiv.org
Abstract: Alzheimer Disease (AD) is a multi-faceted disorder, with each modality providing unique and complementary info about AD. In this study, we used a deep-learning based multimodal normative model to assess the heterogeneity in regional brain patterns for ATN (amyloid-tau-neurodegeneration) biomarkers. We selected discovery (n = 665) and replication (n = 430) cohorts with simultaneous availability of ATN biomarkers: Florbetapir amyloid, Flortaucipir tau and T1-weighted MRI (magnetic resonance imaging) imaging. A multimodal variational autoencoder (conditioned on …
abstract arxiv brain cs.lg discovery disease modelling multimodal patterns q-bio.nc regional study type
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