ArticleFrontiers in aging neuroscience2022
Accounting for retest effects in cognitive testing with the Bayesian double exponential model via intensive measurement burst designs.
Article in Frontiers in aging neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 17 citations in OpenAlex.
- The effects of the Multicultural Healthy Diet on cognitive decline and Alzheimer's disease risk: a phase II randomized controlled trial in middle-aged adults.The American journal of clinical nutrition · 2025Trial
- Cognitive Health Benefits of Everyday Physical Activity in a Diverse Sample of Middle-Aged Adults.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2025Trial
- Observational
- Exploring epigenetic aging and cognitive change in middle adulthood.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026Article
- Daily Negative Affect and Reaction Time Inconsistency in Emerging Adults: Ecological Momentary Assessment Study.JMIR mHealth and uHealth · 2026Article
- Associations among response time inconsistency, attention switching, and cognitive status: A measurement burst approach.Neuropsychology · 2026Article
- Optimizing the Color Shapes Task for Ambulatory Assessment and Drift Diffusion Modeling: A Factorial Experiment.JMIR formative research · 2025Article
- American Life in Realtime: Benchmark, publicly available person-generated health data for equity in precision health.PNAS nexus · 2025Article
- Computational Phenotyping of Cognitive Decline With Retest Learning.The journals of gerontology. Series B, Psychological sciences and social sciences · 2025Article
- Partially Observable Predictor Models for Identifying Cognitive Markers.Computational brain & behavior · 2025Article
- Remote Digital Technologies for the Early Detection and Monitoring of Cognitive Decline in Patients With Type 2 Diabetes: Insights From Studies of Neurodegenerative Diseases.Journal of diabetes science and technology · 2024Review
- Perceived but not objective measures of neighborhood safety and food environments are associated with longitudinal changes in processing speed among urban older adults.BMC geriatrics · 2024Article
- Cognotoxemia: endotoxemia and gender predict changes in working memory performance in healthy adults.Frontiers in neuroscience · 2024Article
- Utilizing Technology to Enhance the Ecological Validity of Cognitive and Functional Assessments in Schizophrenia: An Overview of the State-of-the-Art.Schizophrenia bulletin open · 2024Article
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
Monitoring early changes in cognitive performance is useful for studying cognitive aging as well as for detecting early markers of neurodegenerative diseases. Repeated evaluation of cognition via a measurement burst design can accomplish this goal. In such design participants complete brief evaluations of cognition, multiple times per day for several days, and ideally, repeat the process once or twice a year. However, long-term cognitive change in such repeated assessments can be masked by short-term within-person variability and retest learning (practice) effects. In this paper, we show how a Bayesian double exponential model can account for retest gains across measurement bursts, as well as warm-up effects within a burst, while quantifying change across bursts in peak performance. We also highlight how this approach allows for the inclusion of person-level predictors and draw intuitive inferences on cognitive change with Bayesian posterior probabilities. We use older adults' performance on cognitive tasks of processing speed and spatial working memory to demonstrate how individual differences in peak performance and change can be related to predictors of aging such as biological age and mild cognitive impairment status.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.