A dual-task gait test detects mild cognitive impairment with a specificity of 91.2%

Wang, Yuxin; Yang, Qing; Tian, Chong; Zeng, Jing; Yang, Mengshu; Li, Jie; Mao, Jing

doi:10.3389/fnins.2022.1100642

Cited by 5 publications

(2 citation statements)

References 37 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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“…The cognitive task may be the recital of the months in reverse order [12] or naming animals shown randomly on a screen, which solves the memorization issue in the cognitive task [13]. The assessment takes only minutes to perform and yields a wealth of data.…”

Section: Introductionmentioning

confidence: 99%

PPGCN: Phase-Aligned Periodic Graph Convolutional Network for Dual-Task-Based Cognitive Impairment Detection

Godó,

Wu,

Okura

et al. 2024

IEEE Access

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Early detection methods for cognitive impairment are crucial for its effective treatment. Dualtask-based pipelines that rely on skeleton sequences can detect cognitive impairment reliably. Although such pipelines achieve state-of-the-art results by analyzing skeleton sequences of periodic stepping motion, we propose that their performance can be improved by decomposing the skeleton sequence into representative phase-aligned periods and focusing on them instead of the entire sequence. We present the phase-aligned periodic graph convolutional network, which is capable of processing phase-aligned periodic skeleton sequences. We trained it with a cross-modality feature fusion loss using a representative dataset of 392 samples annotated by medical professionals. As part of a dual-task cognitive impairment detection pipeline that relies on two-dimensional skeleton sequences extracted from RGB images to improve its general usability, our proposed method outperformed existing approaches and achieved a mean sensitivity of 0.9231 and specificity of 0.9398 in a four-fold cross-validation setup.

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An Augmented Reality Rifle Qualification Test for Return-to-Duty Assessment in Service Members

Kaya,

Hastilow,

Owen

et al. 2024

Military Medicine

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Introduction Variability in return-to-duty (RTD) decision-making following mild traumatic brain injury (mTBI) is a threat to troop readiness. Current RTD assessments lack military-specific tasks and quantitative outcomes to inform stakeholders of a service member’s (SM) capacity to successfully perform military duties. Augmented reality (AR), which places digital assets in a user’s physical environment, provides a technological vehicle to deliver military-relevant tasks to a SM to be used in the RTD decision-making process. In addition to delivering digital content, AR headsets provide biomechanical data that can be used to assess the integrity of the central nervous system in movement control following mTBI. The objective of this study was to quantify cognitive and motor performance on an AR rifle qualification test (RQT) in a group of neurologically healthy military SMs. Materials and Methods Data were collected from 111 healthy SMs who completed a basic (single-task) and complex (dual-task) RQT with a simulated M4 rifle. The complex scenario required the SM to perform the RQT while simultaneously answering arithmetic problems. Position data from the AR headset were used to capture postural sway, and the built-in microphone gathered responses to the arithmetic problems. Results There were no differences in the number of targets hit, trigger pull reaction time, and transition time from kneeling to standing between the basic and complex scenarios. A significant worsening in postural sway following kneel-to-stand transition was observed in the complex scenario. The average reaction time to answer the arithmetic problems was nearly 2 times slower than the average reaction time to pull the trigger to a displayed target in the complex scenario. Conclusion The complex scenario provoked dual-task interference in SMs as evidenced by worsening postural sway and reaction time differences between the cognitive and motor tasks. An AR RQT provides objective and quantitative outcomes during a military-specific task. Greater precision in evaluating cognitive and motor performance during a military-relevant task has the potential to aid in the detection and management of SMs and their RTD following MTBI.

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A dual-task gait test detects mild cognitive impairment with a specificity of 91.2%

Cited by 5 publications

References 37 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

PPGCN: Phase-Aligned Periodic Graph Convolutional Network for Dual-Task-Based Cognitive Impairment Detection

An Augmented Reality Rifle Qualification Test for Return-to-Duty Assessment in Service Members

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