Machine learning prediction of tau-PET in Alzheimer's disease using plasma, MRI, and clinical data.

Journal: Alzheimer's & dementia : the journal of the Alzheimer's Association
PMID:

Abstract

INTRODUCTION: Tau positron emission tomography (PET) is a reliable neuroimaging technique for assessing regional load of tau pathology in the brain, but its routine clinical use is limited by cost and accessibility barriers.

Authors

  • Linda Karlsson
    Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.
  • Jacob Vogel
    Department of Clinical Sciences, SciLifeLab, Lund University, Lund, Sweden.
  • Ida Arvidsson
    Centre for Mathematical Sciences, Lund University, Lund, Sweden.
  • Kalle Åström
    Centre for Mathematical Sciences, Lund University, Lund, Sweden.
  • Olof Strandberg
    Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden.
  • Jakob Seidlitz
    Penn/CHOP Lifespan Brain Institute, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
  • Richard A I Bethlehem
    University of Cambridge, Department of Psychology, Cambridge Biomedical Campus, Cambridge, UK.
  • Erik Stomrud
    Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden.
  • Rik Ossenkoppele
    Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.
  • Nicholas J Ashton
    Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden.
  • Henrik Zetterberg
    Clinical Neurochemistry Laboratory, Institute of Neuroscience and Physiology, Sahlgrenska University Hospital, University of Gothenburg, Mölndal, Sweden.
  • Kaj Blennow
    Clinical Neurochemistry Laboratory, Institute of Neuroscience and Physiology, Sahlgrenska University Hospital, University of Gothenburg, Mölndal, Sweden.
  • Sebastian Palmqvist
    Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden.
  • Ruben Smith
    Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.
  • Shorena Janelidze
    Clinical Memory Research Unit, Department of Clinical Sciences, Faculty of Medicine, Lund University, Lund, Sweden.
  • Renaud La Joie
    Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, California, USA.
  • Gil D Rabinovici
    Department of Neurology, Memory and Aging Center, Weill Institute for Neurosciences, University of California, San Francisco, California, USA.
  • Alexa Pichet Binette
    Clinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.
  • Niklas Mattsson-Carlgren
    Clinical Memory Research Unit, Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden. niklas.mattsson-carlgren@med.lu.se.
  • Oskar Hansson
    Clinical Memory Research Unit, Department of Clinical Sciences, Faculty of Medicine, Lund University, Lund, Sweden.