Evidence for age-associated cognitive decline from Internet game scores

Jason Geyer, Philip Insel, Faraz Farzin, Daniel Sternberg, Joseph L. Hardy, Michael Scanlon, Dan M Mungas, Joel Kramer, R. Scott Mackin, Michael W. Weiner

Research output: Contribution to journalArticlepeer-review

9 Scopus citations


Introduction: Lumosity's Memory Match (LMM) is an online game requiring visual working memory. Change in LMM scores may be associated with individual differences in age-related changes in working memory. Methods: Effects of age and time on LMM learning and forgetting rates were estimated using data from 1890 game sessions for users aged 40 to 79 years. Results: There were significant effects of age on baseline LMM scores (β=-.31, standard error or SE=.02, P<.0001) and lower learning rates (β=-.0066, SE=.0008, P<.0001). A sample size of 202 subjects/arm was estimated for a 1-year study for subjects in the lower quartile of game performance. Discussion: Online memory games have the potential to identify age-related decline in cognition and to identify subjects at risk for cognitive decline with smaller sample sizes and lower cost than traditional recruitment methods.

Original languageEnglish (US)
Pages (from-to)260-267
Number of pages8
JournalAlzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring
Issue number2
StatePublished - 2015


  • Alzheimer's disease
  • Cognitive decline
  • Internet game
  • Internet registry
  • Memory
  • Online cognitive assessments
  • Online games

ASJC Scopus subject areas

  • Psychiatry and Mental health
  • Clinical Neurology


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