Predicting sporadic Alzheimer's disease progression via inherited Alzheimer's disease-informed machine-learning.

Journal: Alzheimer's & dementia : the journal of the Alzheimer's Association
Published Date:

Abstract

INTRODUCTION: Developing cross-validated multi-biomarker models for the prediction of the rate of cognitive decline in Alzheimer's disease (AD) is a critical yet unmet clinical challenge.

Authors

  • Nicolai Franzmeier
    Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany.
  • Nikolaos Koutsouleris
    Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom.
  • Tammie Benzinger
    Department of Radiology, Washington University in St. Louis, St. Louis, Missouri, USA.
  • Alison Goate
    Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Celeste M Karch
    Knight Alzheimer's Disease Research Center, Washington University in St. Louis, St. Louis, Missouri, USA.
  • Anne M Fagan
    Knight Alzheimer's Disease Research Center, Washington University in St. Louis, St. Louis, Missouri, USA.
  • Eric McDade
    Knight Alzheimer's Disease Research Center, Washington University in St. Louis, St. Louis, Missouri, USA.
  • Marco Duering
    Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany.
  • Martin Dichgans
    Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany.
  • Johannes Levin
    Munich Cluster for Systems Neurology, Munich, Germany.
  • Brian A Gordon
    Department of Radiology, Washington University in St. Louis, School of Medicine, 510 S. Kingshighway, MC 8131, Saint Louis, MO 63110, USA; Knight Alzheimer's Disease Research Center, Washington University in St. Louis, School of Medicine, 510 S. Kingshighway, MC 8131, Saint Louis, MO 63110, USA.
  • Yen Ying Lim
    The Florey Institute, The University of Melbourne, Parkville, Victoria, Australia.
  • Colin L Masters
    Florey Institute, The University of Melbourne, Parkville, VIC, 3052, Australia.
  • Martin Rossor
    Dementia Research Centre, University College London, Queen Square, London, UK.
  • Nick C Fox
    Dementia Research Centre, University College London, Queen Square, London, UK.
  • Antoinette O'Connor
    Dementia Research Centre, University College London, Queen Square, London, UK.
  • Jasmeer Chhatwal
    Massachusetts General Hospital, Department of Neurology, Harvard Medical School, Boston, Massachusetts, USA.
  • Stephen Salloway
    Department of Neurology, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA.
  • Adrian Danek
    Clinic of Neurology, Ludwig Maximilian University of Munich, Germany.
  • Jason Hassenstab
    Department of Neurology, Washington University in St. Louis, MO, USA; Psychological & Brain Sciences, Washington University in St. Louis, MO, USA.
  • Peter R Schofield
    Neuroscience Research Australia, Randwick, New South Wales, Australia.
  • John C Morris
    Knight Alzheimer Disease Research Center, Washington University in St. Louis, St. Louis, MO, USA.
  • Randall J Bateman
    Knight Alzheimer's Disease Research Center, Washington University in St. Louis, St. Louis, Missouri, USA.
  • Michael Ewers
    Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany.