ArticleScientific reports2024
The feasibility of using the go/no-go task as a dementia screening test assessed with a cross-sectional design.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- A Novel Combined Audiovisual-Semantic Digital Tool for Early-Stage Cognitive Decline Detection: Development and Validation Study.JMIR aging · 2026Article
- Cognitive function predicts all-cause mortality independent of social engagement among community-dwelling elderly Japanese men: a 15-year prospective cohort study.Environmental health and preventive medicine · 2026Article
- Health education interventions across Thailand, the Philippines, and Japan: a multisite comparison in varying socio-environmental and policy contexts.BMC public health · 2025Article
- Early health education and cognitive inhibitory control in children: a 20-year pilot study using the go/no-go task in Japan.Frontiers in public health · 2025Article
- Prefrontal cortex activation patterns in age-related cognitive decline: insights from verbal fluency task.Frontiers in neurologyArticle
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9 authors.
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Abstract
The Mini Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), and Frontal Assessment Battery are screening tests for dementia. The go/no-go task offers an alternative approach for evaluating dementia patients. However, its role in screening for dementia remains unclear. We aimed to explore the feasibility of using the go/no-go task as a screening test for dementia via a cross-sectional design. Twenty-four Japanese individuals were evaluated using the go/no-go task, the MMSE, and the MoCA. The total MMSE and MoCA scores were correlated with the total number of errors in the go/no-go task (r=-0.699, p < 0.01; r=-0.756, p < 0.01). Moreover, When the MoCA cutoff value was 25 for MCI, the optimal cutoff score for the total number of error in the go/no-go task to detect MCI was 2, with an Area Under curve (AUC) of 0.98, a sensitivity of 0.94. When the MMSE cutoff value was 27 for MCI, the optimal cutoff score for the total number of error in the go/no-go task to detect MCI was 6, with an AUC of 0.89, a sensitivity of 0.76, showed respectively values close to 1. The go/no-go task is possible a practical screening test for dementia.
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