Andrew J Aschenbrenner1, David A Balota1, Brian A Gordon2, Roger Ratcliff3, John C Morris4. 1. Department of Psychology, Washington University in St. Louis. 2. Department of Radiology, Washington University in St. Louis. 3. Department of Psychology, The Ohio State University. 4. Department of Neurology, Washington University in St. Louis.
Abstract
OBJECTIVE: A family history of Alzheimer's disease (AD) increases the risk of developing AD and can influence the accumulation of well-established AD biomarkers. There is some evidence that family history can influence episodic memory performance even in cognitively normal individuals. We attempted to replicate the effect of family history on episodic memory and used a specific computational model of binary decision making (the diffusion model) to understand precisely how family history influences cognition. Finally, we assessed the sensitivity of model parameters to family history controlling for standard neuropsychological test performance. METHOD: Across 2 experiments, cognitively healthy participants from the Adult Children Study completed an episodic recognition test consisting of high- and low-frequency words. The diffusion model was applied to decompose accuracy and reaction time (RT) into latent parameters which were analyzed as a function of family history. RESULTS: In both experiments, individuals with a family history of AD exhibited lower recognition accuracy and this occurred in the absence of an apolipoprotein E (APOE) ε4 allele. The diffusion model revealed this difference was due to changes in the quality of information accumulation (the drift rate) and not differences in response caution or other model parameters. This difference remained after controlling for several standard neuropsychological tests. CONCLUSIONS: These results confirm that the presence of a family history of AD confers a subtle cognitive deficit in episodic memory as reflected by decreased drift rate that cannot be attributed to APOE. This measure may serve as a novel cognitive marker of preclinical AD. PsycINFO Database Record (c) 2016 APA, all rights reserved.
OBJECTIVE: A family history of Alzheimer's disease (AD) increases the risk of developing AD and can influence the accumulation of well-established AD biomarkers. There is some evidence that family history can influence episodic memory performance even in cognitively normal individuals. We attempted to replicate the effect of family history on episodic memory and used a specific computational model of binary decision making (the diffusion model) to understand precisely how family history influences cognition. Finally, we assessed the sensitivity of model parameters to family history controlling for standard neuropsychological test performance. METHOD: Across 2 experiments, cognitively healthy participants from the Adult Children Study completed an episodic recognition test consisting of high- and low-frequency words. The diffusion model was applied to decompose accuracy and reaction time (RT) into latent parameters which were analyzed as a function of family history. RESULTS: In both experiments, individuals with a family history of AD exhibited lower recognition accuracy and this occurred in the absence of an apolipoprotein E (APOE) ε4 allele. The diffusion model revealed this difference was due to changes in the quality of information accumulation (the drift rate) and not differences in response caution or other model parameters. This difference remained after controlling for several standard neuropsychological tests. CONCLUSIONS: These results confirm that the presence of a family history of AD confers a subtle cognitive deficit in episodic memory as reflected by decreased drift rate that cannot be attributed to APOE. This measure may serve as a novel cognitive marker of preclinical AD. PsycINFO Database Record (c) 2016 APA, all rights reserved.
Authors: Andrew J Aschenbrenner; David A Balota; Chi-Shing Tse; Anne M Fagan; David M Holtzman; Tammie L S Benzinger; John C Morris Journal: Neuropsychology Date: 2014-09-15 Impact factor: 3.295
Authors: David A Balota; Melvin J Yap; Michael J Cortese; Keith A Hutchison; Brett Kessler; Bjorn Loftis; James H Neely; Douglas L Nelson; Greg B Simpson; Rebecca Treiman Journal: Behav Res Methods Date: 2007-08
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