Talking during walking: the diagnostic potential of turn dynamics in Alzheimer's disease, mild cognitive impairment and cognitive aging.
Background: While gait analysis is well-documented, turn performance—which is a more complex task and involves multiple brain regions—has been less explored. This study aims to assess the diagnostic potential of turn dynamics as a novel tool for detecting cognitive decline. Methods: We recruited 75...
| Publicado en: | Frontiers in Aging Neuroscience pp. 1 - 15 |
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| Autores principales: | , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Frontiers Media S.A.
2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=183456682&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 183456682 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 16634365 BG2U jtl: Frontiers in Aging Neuroscience issn: 16634365 maglogo: N pubinfo: dt: 2025 pid: 40038 pub: Frontiers Media S.A. artinfo: ui: 183456682 183456682 183456682 10.3389/fnagi.2025.1533573 183456682 ppf: 1 ppct: 14 formats: tig: atl: Talking during walking: the diagnostic potential of turn dynamics in Alzheimer's disease, mild cognitive impairment and cognitive aging. aug: au: Mohammadi, Hedieh Maghsoudpour, Adel Noroozian, Maryam Mohammadian, Fatemeh affil: Department of Mechanical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran sug: subj: Alzheimer's Disease Mild Cognitive Impairment Cognitive Aging Gait Analysis Movement Task Performance and Analysis Human Male Female Aged Dementia Patients Academic Medical Centers Iran Clinical Assessment Tools Data Analysis Software Descriptive Statistics Analysis of Variance Linear Regression Memory Cognition Executive Function Aged: 65+ years Male Female ab: Background: While gait analysis is well-documented, turn performance—which is a more complex task and involves multiple brain regions—has been less explored. This study aims to assess the diagnostic potential of turn dynamics as a novel tool for detecting cognitive decline. Methods: We recruited 75 participants, including 26 neurotypical (NT) older adults, 25 with amnestic mild cognitive impairment (aMCI), and 24 with mild Alzheimer's disease (AD). Participants completed a dual-task walk and turn (DTWT) test using a dual Kinect setup while counting backwards by ones. Key measures analyzed included spatial-temporal parameters of gait and turn dynamics. Statistical analyses including analyses of variance and linear regression were performed to identify key features as well as to assess their correlation with cognitive performance. Results: Gait speed and stride time significantly differentiated among groups in DTWT conditions. More notably, turn dynamics, particularly segmental peak speeds and step length, displayed stronger discriminatory power with more significant p -values compared to gait features. Linear regression analysis indicated that turn dynamics had stronger correlations with executive function and working memory, suggesting a more pronounced relationship between cognitive performance and turn features than gait variables. Conclusion: In contrast to straight walk metrics, this study shows that DTWT turn dynamics are more sensitive to detect cognitive impairment. Consequently, incorporating turning movements into gait analysis techniques could enhance diagnostic protocols in clinical settings, offering a valuable tool for monitoring the progression of conditions associated with cognitive aging. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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