ArticleThe journals of gerontology. Series B, Psychological sciences and social sciences2020
A Large-Scale Semantic Analysis of Verbal Fluency Across the Aging Spectrum: Data From the Canadian Longitudinal Study on Aging.
Article in The journals of gerontology. Series B, Psychological sciences and social sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Item-Level Analysis of Category Fluency Test Performance: A Systematic Review and Meta-Analysis of Studies of Normal and Neurologically Abnormal Ageing.Neuropsychology review · 2025Pooled it
- The association of sociodemographic factors with total and item-level semantic fluency metrics.Neuropsychology · 2024Article
- Contextual dynamics in lexical encoding across the ageing spectrum: A simulation study.Quarterly journal of experimental psychology (2006) · 2023Article
- A Semantic Relatedness Model for the Automatic Cluster Analysis of Phonematic and Semantic Verbal Fluency Tasks Performed by People With Parkinson Disease: Prospective Multicenter Study.JMIR neurotechnology · 2023Article
- Bear in mind: the role of personal background in semantic animal fluency - The SMART-MR study.Frontiers in psychology · 2023Article
- Differential effects of ageing on the neural processing of speech and singing production.Frontiers in aging neuroscience · 2023Article
- Prediction in the Aging Brain: Merging Cognitive, Neurological, and Evolutionary Perspectives.The journals of gerontology. Series B, Psychological sciences and social sciences · 2022Article
- Visualizing and Quantifying Longitudinal Changes in Verbal Fluency Using Recurrence Plots.Frontiers in aging neuroscience · 2022Article
- Using big data to understand bilingual performance in semantic fluency: Findings from the Canadian Longitudinal Study on Aging.PloS one · 2022Article
- Using Network Science to Understand the Aging Lexicon: Linking Individuals' Experience, Semantic Networks, and Cognitive Performance.Topics in cognitive science · 2022Review
- Serial Recall Order and Semantic Features of Category Fluency Words to Study Semantic Memory in Normal Ageing.Frontiers in aging neuroscience · 2021Article
- Semantic diversity in paired-associate learning: Further evidence for the information accumulation perspective of cognitive aging.Psychonomic bulletin & review · 2020Article
- What Drives Task Performance During Animal Fluency in People With Alzheimer's Disease?Frontiers in psychology · 2020Article
- Improving the Assessment of Mild Cognitive Impairment in Advanced Age With a Novel Multi-Feature Automated Speech and Language Analysis of Verbal Fluency.Frontiers in psychology · 2020Article
- Mining a Crowdsourced Dictionary to Understand Consistency and Preference in Word Meanings.Frontiers in psychology · 2019Article
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3 authors.
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Abstract
objectivesThe present study aimed to characterize changes in verbal fluency performance across the lifespan using data from the Canadian Longitudinal Study on Aging (CLSA).
methodsWe examined verbal fluency performance in a large sample of adults aged 45-85 (n = 12,686). Data are from the Tracking cohort of the CLSA. Participants completed a computer-assisted telephone interview that included an animal fluency task, in which they were asked to name as many animals as they could in 1 min. We employed a computational modeling approach to examine the factors driving performance on this task.
resultsWe found that the sequence of items produced was best predicted by their semantic neighborhood, and that pairwise similarity accounted for most of the variance in participant analyses. Moreover, the total number of items produced declined slightly with age, and older participants produced items of higher frequency and denser semantic neighborhood than younger adults. DISCUSSION: These findings indicate subtle changes in the way people perform this task as they age. The use of computational models allowed for a large increase in the amount of variance accounted for in this data set over standard assessment types, providing important theoretical insights into the aging process.
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