Analysing heterogeneity in Alzheimer Disease using multimodal normative modelling on ATN biomarkers

arXiv:2404.05748v1 Announce Type: cross
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