Differential cued-Stroop performance in cognitively asymptomatic older adults with biomarker-identified risk for Alzheimer’s disease: A pilot study

Ryan Van Patten, Anne M. Fagan, David A.S. Kaufman

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Background: There exists a need for more sensitive measures capable of detecting subtle cognitive decline due to Alzheimer’s disease. Objective: To advance the literature in Alzheimer’s disease by demonstrating that performance on a cued-Stroop task is impacted by preclinical Alzheimer’s disease neuropathology. Method: Twenty-nine cognitively asymptomatic older adults completed a computerized, cued-Stroop task in which accuracy rates and intraindividual variability in reaction times were the outcomes of interest. Cerebrospinal fluid biomarkers of Aβ 42 and tau were measured and participants were then grouped according to a published p-tau/Aβ 42 cutoff reflecting risk for Alzheimer’s disease (preclinical Alzheimer’s disease = 14; control = 15). Results: ANOVAs indicated that accuracy rates did not differ between the groups but 4-second delay incongruent color-naming Stroop coefficient of variation reaction times were higher in the preclinical Alzheimer’s disease group compared to the control group, reflecting increased within-person variability. Moreover, partial correlations showed no relationships between cerebrospinal fluid biomarkers and accuracy rates. However, increases in coefficient of variation reaction times correlated with decreased Aβ 42 and increases in p-tau and the p-tau/Aβ 42 ratio. Conclusion: Results supported the ability of the computerized, cued-Stroop task to detect subtle Alzheimer’s disease neuropathology using a small cohort of cognitively asymptomatic older adults. The ongoing measurement of cued-Stroop coefficient of variation reaction times has both scientific and clinical utility in preclinical Alzheimer’s disease.

Original languageEnglish
Pages (from-to)820-827
Number of pages8
JournalCurrent Alzheimer Research
Volume15
Issue number9
DOIs
StatePublished - 2018

Keywords

  • Aging
  • Alzheimer’s disease
  • Biomarkers
  • Cognitive decline
  • Cognitive neuroscience
  • Intraindividual variability
  • Neuropsychology
  • Stroop test

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