ArticleFrontiers in aging neuroscience2024
Dual-task turn velocity - a novel digital biomarker for mild cognitive impairment and dementia.
Article in Frontiers in aging neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 6 citations in OpenAlex.
- Turning as a single and dual task-associations with Alzheimer's and vascular pathologies in cognitively healthy older people.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026Article
- Multimodal Integration of Gait Dysfunction, Amyloid PET, and Plasma Biomarkers for Differentiating Etiological Subtypes in Mild Cognitive Impairment.CNS neuroscience & therapeutics · 2026Article
- Passive digital health technologies for Alzheimer's disease screening and diagnosis: a systematic review.NPJ digital medicine · 2026Article
- Turning versus straight walking under dual-task conditions: a preliminary study for identifying mild cognitive impairment and Alzheimer's disease.BMC neurology · 2026Article
- Gait variability as a dual-pathway marker of cognitive-motor dysfunction in older adults with type 2 diabetes mellitus.Frontiers in endocrinology · 2026Article
- A systematic review and meta-analysis on dual-task sensor-based motion analysis for dementia detection.Frontiers in digital health · 2026Review
- Association Between Turn Impairments and Cognitive Function in Parkinson Disease.Aging medicine (Milton (N.S.W)) · 2025Article
- Talking during walking: the diagnostic potential of turn dynamics in Alzheimer's disease, mild cognitive impairment and cognitive aging.Frontiers in aging neuroscience · 2025Article
- Global research landscape, hotspots, and emerging trends of digital biomarkers: A bibliometric analysis.Digital healthArticle
- Feasibility of assessing cognitive impairment via distributed camera network and privacy-preserving edge computing.Alzheimer's & dementia (Amsterdam, Netherlands)Article
- AI-assisted screening for mild cognitive impairment using routine EHR data: a Gradient Boosting approach.Frontiers in neurologyArticle
- Review
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Disorders associated with cognitive impairment impose a significant burden on both families and society. Previous studies have indicated that gait characteristics under dual-task as reliable markers of early cognitive impairment. Therefore, digital gait detection has great potential for future cognitive screening. However, research on digital biomarkers based on smart devices to identify cognitive impairment remains limited. The aim of this study is to explore digital gait biomarkers by utilizing intelligent wearable devices for discriminating mild cognitive impairment and dementia. Methods: This study included 122 subjects (age: 74.7 ± 7.7 years) diagnosed with normal cognition (NC, Results: Our results demonstrated that dual-task could significantly improve the ability to predict cognitive impairment based on gait parameters such as gait speed (GS) and stride length (SL). Additionally, we discovered that turn velocity (TV and DT-TV) can be a valuable novel digital marker for predicting MCI and dementia, for identifying MCI (DT-TV: AUC = 0.801, sensitivity 0.738, specificity 0.842), and dementia (DT-TV: AUC = 0.923, sensitivity 0.857, specificity 0.842). The correlation analysis and linear regression analysis revealed a robust association between DT-TV and memory function, as well as the hippocampus atrophy. Conclusion: This study presents a novel finding that DT-TV could accurately identify varying degrees of cognitive impairment. DT-TV is strongly correlated with memory function and hippocampus shrinkage, suggests that it can accurately reflect changes in cognitive function. Therefore, DT-TV could serve as a novel and effective digital biomarker for discriminating cognitive impairment.
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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.