Gait Indicators Contribute to Screening Cognitive Impairment: A Single- and Dual-Task Gait Study

Wang, Xiaoqin; Yu, Wuhan; Huang, Lihong; Yan, Mengyu; Zhang, Wenbo; Song, Jiaqi; Liu, Xintong; Yu, Weihua; Yang, Lü

doi:10.3390/brainsci13010154

Cited by 4 publications

(1 citation statement)

References 58 publications

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“…Specifically, our study found that DT-GS, DT-SL, and DT-TV parameters showed approximately a 10% improvement in predicting MCI and dementia compared to single-task (in terms of AUC). This improvement is higher than what has been reported in other studies, where typically only about a 6% improvement is observed ( Wang X. et al, 2023 ; Wang Y. et al, 2023 ). Moreover, our study demonstrated that dual-task gait parameters collected using smart gait devices achieved a dementia prediction rate of up to 90%, highlighting the potential of wearable devices in screening for dementia.…”

Section: Discussioncontrasting

confidence: 76%

Dual-task turn velocity – a novel digital biomarker for mild cognitive impairment and dementia

Wang,

Zhou,

Cheng

et al. 2024

Front. Aging Neurosci.

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BackgroundDisorders 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.MethodsThis study included 122 subjects (age: 74.7 ± 7.7 years) diagnosed with normal cognition (NC, n = 38), mild cognitive impairment (MCI, n = 42), or dementia (n = 42). All subjects underwent comprehensive neuropsychological assessments and cranial Magnetic Resonance Imaging (MRI). Gait parameters were collected using validated wearable devices in both single-task and dual-task (DT). We analyzed the ability of gait variables to predict MCI and dementia, and examined the correlations between specific DT-gait parameters and sub-cognitive functions as well as hippocampal atrophy.ResultsOur 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.ConclusionThis 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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Section: Discussioncontrasting

confidence: 76%

Dual-task turn velocity – a novel digital biomarker for mild cognitive impairment and dementia

Wang,

Zhou,

Cheng

et al. 2024

Front. Aging Neurosci.

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A Comparative Study of Cognitive and Motor Performance in Liver Recipients

Ergene,

Akay,

Karadibak

et al. 2024

Prog Transpl

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Introduction: Neurocognitive and motor impairments are often observed both before and after liver transplantation, resulting in inefficiencies in dual-task performance. Specific aim: The aim of this study was to evaluate the motor-cognitive dual-task performance in liver recipients, with a particular emphasis on cognition, performance status, and the impact of the COVID-19 pandemic. Design: A prospective, cross-sectional, web-based design with a control group was used. The study included 22 liver transplant recipients and 23 controls. Participants completed a motor-cognitive dual-task test (timed up and go test, TUG), a cognitive assessment (mini mental state examination), and a physical performance test (5-repetition sit-to-stand test). The study also used a functional performance status scale (The Karnofsky performance status) and assessed fear of coronavirus disease (fear of COVID-19 scale). Dual-task interference was assessed and the rate of correct responses per second was calculated to assess cognitive performance. Results: The results indicated no statistically significant difference in TUG time and TUG correct responses per second between the groups (group × condition interactions; P > 0.05). There was no significant difference in cognitive and motor dual-task interference during the TUG test between the two groups (P > 0.05). The Karnofsky Performance Status score was significantly correlated with TUG motor dual-task interference (r = −0.424 and P = 0.049). Conclusion: This study suggests that dual-task performance does not differ in cognitive or motor performance between liver recipients and healthy controls under the same dual-task condition. However, further controlled studies are needed to improve the generalizability of these findings.

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Extracted step parameters during the Timed Up and Go test discriminate between groups with different levels of cognitive ability - A cross-sectional study.

Löfgren,

Berglund,

Giedraitis

et al. 2024

Preprint

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Background Identifying cognitive impairment at an early stage is important to enable preventive treatment and lifestyle changes. As gait deviations precede cognitive impairment, the aim of this study was to investigate if step parameters during different Timed Up and Go (TUG) conditions could discriminate between people with different cognitive ability. Methods Participants (N = 304) were divided into the following groups: (1) controls, n = 50, mean age:73, 44% women; (2) Subjective cognitive Impairment (SCI), n = 71, mean age:67, 45% women; (3) Mild Cognitive Impairment (MCI), n = 126, mean age: 73, 42% women; and (4) dementia disorders, n = 57, mean age: 78, 51% women. Participants conducted TUG and two motor-cognitive TUG-conditions: TUG while naming animals (TUGdt-NA) and reciting months in reverse order (TUGdt-MB). Tests were video recorded for data extraction of valid spatiotemporal parameters: step length, step width, step duration, single step duration and double step duration. Step length was investigated with the step length/body height ratio (step length divided by body height). Logistic regression models (adjusted for age, sex and education) investigated associations between step parameters and dichotomous variables of groups adjacent in cognitive ability: dementia disorders vs. MCI, MCI vs. SCI, and SCI vs. controls. Results were presented as standardized odds ratios (sORs), with 95% confidence intervals (CI95) and p-values (significance level: p < 0.05). The areas under the Receiver Operating Characteristic curves were presented for the step parameters/conditions with the highest sORs and, where relevant, optimal cutoff values were calculated. Results Step length showed greatest overall ability to significantly discriminate between adjacent groups (sOR≤. 67, CI95: .45-.99, p=≤. 047) during all group comparisons/conditions except three. The highest sOR for step-length was obtained when discriminating between SCI vs controls during TUGdt-MB (sOR = .51, CI95:.29- .87, p = .014), whereby the area under the curve was calculated (c-statistics = .700). The optimal cut-off indicated a step length of less than 32.9% (CI95 = 22.1–43.0) of body height to identify SCI compared with controls. Conclusions The results indicate that step length may be important to assess during TUG, for discrimination between groups with different cognitive ability; and that the presented cut-off has potential to aid early detection of cognitive impairment. Trial registration number: NCT05893524 (retrospectively registered 08/06/23).

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Gait Indicators Contribute to Screening Cognitive Impairment: A Single- and Dual-Task Gait Study

Cited by 4 publications

References 58 publications

Dual-task turn velocity – a novel digital biomarker for mild cognitive impairment and dementia

Dual-task turn velocity – a novel digital biomarker for mild cognitive impairment and dementia

A Comparative Study of Cognitive and Motor Performance in Liver Recipients

Extracted step parameters during the Timed Up and Go test discriminate between groups with different levels of cognitive ability - A cross-sectional study.

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