ArticleComputers in biology and medicine2020
Can motor function uncertainty and local instability within upper-extremity dual-tasking predict amnestic mild cognitive impairment and early-stage Alzheimer's disease?
Article in Computers in biology and medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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20 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.
- Effects of Dance Interventions on Cognition, Psycho-Behavioral Symptoms, Motor Functions, and Quality of Life in Older Adult Patients With Mild Cognitive Impairment: A Meta-Analysis and Systematic Review.Frontiers in aging neuroscience · 2021Pooled it
- Multimodal Signatures of Brain Aging: From Descriptive Analyses to Machine Learning-Based Integration.International journal of molecular sciences · 2026Article
- Identifying cognitive impairment in older adults using machine learning on combined fNIRS and motion data during an upper extremity dual task function.Research square · 2026Article
- A systematic review and meta-analysis on dual-task sensor-based motion analysis for dementia detection.Frontiers in digital health · 2026Review
- EEG-motor correlation as early Alzheimer's disease index in herpes simplex virus type-1-infected mice.Brain communications · 2026Article
- Differences in brain function entropy due to cognitive impairment: Application of functional near infrared spectroscopy measures during dual-tasking.International journal of psychophysiology : official journal of the International Organization of Psychophysiology · 2025Article
- Anticipatory reaching motor behavior characterizes patients within the Alzheimer's disease continuum in a virtual reality environment.Alzheimer's research & therapy · 2025Article
- The Application of Digital Frailty Screening to Triage Nonhealing and Complex Wounds.Journal of diabetes science and technology · 2024Article
- Investigating the associations between upper limb motor function and cognitive impairment: a scoping review.GeroScience · 2023Article
- A computational musculoskeletal arm model for assessing muscle dysfunction in chronic obstructive pulmonary disease.Medical & biological engineering & computing · 2023Article
- Synergy through integration of digital cognitive tests and wearable devices for mild cognitive impairment screening.Frontiers in human neuroscience · 2023Article
- Association between upper limb movements during drumming and cognition in older adults with cognitive impairment and dementia at a nursing home: a pilot study.Frontiers in rehabilitation sciences · 2023Article
- Hyper-acute effects of sub-concussive soccer headers on brain function and hemodynamics.Frontiers in human neuroscience · 2023Article
- Physical and Cognitive Function Assessment to Predict Postoperative Outcomes of Abdominal Surgery.The Journal of surgical research · 2021Article
- Nonlinear analysis of the movement variability structure can detect aging-related differences among cognitively healthy individuals.Human movement science · 2021Article
- Dual-task performance is associated with brain MRI Morphometry in individuals with mild cognitive impairment.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2021Article
- Deterioration, Compensation and Motor Control Processes in Healthy Aging, Mild Cognitive Impairment and Alzheimer's Disease.Geriatrics (Basel, Switzerland) · 2021Review
- Fractal motor activity regulation and sex differences in preclinical Alzheimer's disease pathology.Alzheimer's & dementia (Amsterdam, Netherlands) · 2021Article
- Remote Physical Frailty Monitoring-The Application of Deep Learning-Based Image Processing in Tele-Health.IEEE access : practical innovations, open solutions · 2020Article
- Virtual reality-based cognitive-motor training in middle-aged adults at high Alzheimer's disease risk improves frontal cortex cerebral blood flow: A randomized controlled trial.Alzheimer's & dementia (New York, N. Y.)Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
In this study, we examined the uncertainty and local instability of motor function for cognitive impairment screening using a previously validated upper-extremity function (UEF). This approach was established based upon the fact that elders with an impaired executive function have trouble in the simultaneous execution of a motor and a cognitive task (dual-tasking). Older adults aged 65 years and older were recruited and stratified into 1) cognitive normal (CN), 2) amnestic MCI of the Alzheimer's type (aMCI), and 3) early-stage Alzheimer's Disease (AD). Participants performed normal-paced repetitive elbow flexion without counting and while counting backward by ones and threes. The influence of cognitive task on motor function was measured using uncertainty (measured by Shannon entropy), and local instability (measured by the largest Lyapunov exponent) of elbow flexion and compared between cognitive groups using ANOVAs, while adjusting for age, sex, and BMI. We developed logistic ordinal regression models for predicting cognitive groups based on these nonlinear measures. A total of 81 participants were recruited, including 35 CN (age = 83.8 ± 6.9), 30 aMCI (age = 83.9 ± 6.9), and 16 early AD (age = 83.2 ± 6.6). Uncertainty of motor function demonstrated the strongest associations with cognitive impairment, with an effect size of 0.52, 0.88, and 0.51 for CN vs. aMCI, CN vs. AD, and aMCI vs. AD comparisons, respectively. Ordinal logistic models predicted cognitive impairment (aMCI and AD combined) with a sensitivity and specificity of 0.82. The findings accentuate the potential of employing nonlinear dynamical features of motor functions during dual-tasking, especially uncertainty, in detecting cognitive impairment.
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Registered trials
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.