BrainAGE latent representation clustering is associated with longitudinal disease progression in early-onset Alzheimer's disease.

Journal: Journal of neuroradiology = Journal de neuroradiologie
Published Date: Jul 3, 2025

Abstract

INTRODUCTION: Early-onset Alzheimer's disease (EOAD) population is a clinically, genetically and pathologically heterogeneous condition. Identifying biomarkers related to disease progression is crucial for advancing clinical trials and improving therapeutic strategies. This study aims to differentiate EOAD patients with varying rates of progression using Brain Age Gap Estimation (BrainAGE)-based clustering algorithm applied to structural magnetic resonance images (MRI).

Authors

  • Dorian Manouvriez
    UAR 2014-US 41-PLBS-Plateformes lilloises en Biologie & Santé, University of Lille, Lille, France; SIEMENS HEALTHCARE SAS, Courbevoie, France. Electronic address: dorian.manouvriez@gmail.com.
  • Grégory Kuchcinski
    Department of Neuroradiology, CHU Lille, Salengro Hospital, Lille 59000, France; INSERM, U1172-LilNCog-Lille Neuroscience & Cognition, Université de Lille, Lille 59000, France.
  • Vincent Roca
    UAR 2014-US 41-PLBS-Plateformes lilloises en Biologie & Santé, University of Lille, Lille, France.
  • Adeline Rollin Sillaire
    Memory Center, DISTALZ, Lille, France; Neurology Department, Lille University Medical Center, Lille, France.
  • Maxime Bertoux
    INSERM, U1172-LilNCog-Lille Neuroscience & Cognition, University of Lille, Lille, France; Memory Center, DISTALZ, Lille, France.
  • Xavier Delbeuck
    UAR 2014-US 41-PLBS-Plateformes lilloises en Biologie & Santé, University of Lille, Lille, France; INSERM, U1172-LilNCog-Lille Neuroscience & Cognition, University of Lille, Lille, France; Department of Neuroradiology, CHU Lille, F-59000 Lille, France.
  • Jean-Pierre Pruvo
    From the Department of Neuroradiology (B.L.G., A.L., C.B., J.P.P., G.K.), Department of Public Health (B.L.G., P.A., A.H.), and INclude Health Data Warehouse (C.G., L.S.), CHU Lille-Université Lille, Rue Emile Laine, 59000 Lille, France; Department of Radiology, UC Davis Health, Sacramento, Calif (L.H.B.); Université Lille, INSERM, CHU Lille, Institut Pasteur de Lille, U1167-RID-AGE - Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, Lille, France (P.A., A.H.); INSERM, U1172-LilNCog-Lille Neuroscience & Cognition, Université Lille, Lille, France (J.P.P., G.K.); and UAR 2014-US 41-PLBS-Plateformes Lilloises en Biologie & Santé, Université Lille, Lille, France (J.P.P., G.K.).
  • Simon Lecerf
    INSERM, U1172-LilNCog-Lille Neuroscience & Cognition, University of Lille, Lille, France; Memory Center, DISTALZ, Lille, France; Neurology Department, Lille University Medical Center, Lille, France.
  • Florence Pasquier
    INSERM, U1172-LilNCog-Lille Neuroscience & Cognition, University of Lille, Lille, France; Memory Center, DISTALZ, Lille, France; Neurology Department, Lille University Medical Center, Lille, France.
  • Thibaud Lebouvier
    INSERM, U1172-LilNCog-Lille Neuroscience & Cognition, University of Lille, Lille, France; Memory Center, DISTALZ, Lille, France; Neurology Department, Lille University Medical Center, Lille, France.
  • Renaud Lopes
    Imaging Dpt., Neuroradiology unit, CHU Lille, Lille, F-59000, France.

Keywords

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