Predicting amyloid beta accumulation in cognitively unimpaired older adults: Cognitive assessments provide no additional utility beyond demographic and genetic factors.

Journal: Alzheimer's & dementia : the journal of the Alzheimer's Association
PMID: 40110649

Abstract

BACKGROUND: Integrating non-invasive measures to estimate abnormal amyloid beta accumulation (Aβ+) is key to developing a screening tool for preclinical Alzheimer's disease (AD). The predictive capability of standard neuropsychological tests in estimating Aβ+ has not been quantified.

Authors

  • Shu Liu
    Key Laboratory of Network Oriented Intelligent Computation, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen 518055, China. Electronic address: liushuhit@outlook.com.
  • Paul Maruff
    Florey Institute, The University of Melbourne, Parkville, VIC, 3052, Australia.
  • Martin Saint-Jalmes
    ARC Training Centre in Cognitive Computing for Medical Technologies, University of Melbourne, Carlton, Victoria, Australia.
  • Pierrick Bourgeat
    CSIRO Health and Biosecurity, The Australian e-Health & Research Centre, Herston, QLD, Australia. Electronic address: pierrick.bourgeat@csiro.au.
  • Colin L Masters
    Florey Institute, The University of Melbourne, Parkville, VIC, 3052, Australia.
  • Benjamin Goudey
    Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia.

Keywords

External Resources

Popular Topics
Recent Journals