ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2024
A detection model of cognitive impairment via the integrated gait and eye movement analysis from a large Chinese community cohort.
Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.
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Who cites it
34 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Advances in gait research related to Alzheimer's disease.Frontiers in neurology · 2025Pooled it
- Community-based assisted screening for mild cognitive impairment using gait and handwriting kinematic parameters analysis.World journal of psychiatry · 2025Trial
- AI-Based Measurement Tools for Intrinsic Capacity in Older Adults: Scoping Review.Journal of medical Internet research · 2026Article
- Mapping the evolution of dual-task paradigms in cognitive aging: A bibliometric analysis of research landscapes and translational applications.GeroScience · 2026Review
- Advanced Eye Movement Features Measured by Quantitative Oculography as Candidate Biomarkers for Progressive Supranuclear Palsy.Diagnostics (Basel, Switzerland) · 2026Review
- Utility of Tablet-Based Eye Tracking for Early Screening of Poststroke Cognitive Impairment: Diagnostic Cohort Study.JMIR mHealth and uHealth · 2026Article
- Wearable sensing for quantifying cognitive and balance functions in naturalistic movements of older adults with mild cognitive impairment in therapeutic environments.medRxiv : the preprint server for health sciences · 2026Article
- Multidimensional modeling of biological aging: integrating gait, eye movement, rest-state functional connectivity, and plasma biomarkers in non-dementia older adults.The journal of prevention of Alzheimer's disease · 2026Article
- A novel eye-tracking digital marker outperforms plasma biomarkers in detecting cognitive impairment.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- VR-based quantitative oculomotor analysis and association with regional brain atrophy in MSA.Journal of Parkinson's disease · 2026Article
- Tracking the eyes to track decline: Global eye movement similarity as a novel neuropsychological marker of mild cognitive impairment.GeroScience · 2026Article
- Diagnostic value of saccades in mild cognitive impairment: a community-based study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026Article
- Integrating memory-guided saccades and EEG for MCI screening: a multimodal LASSO modeling approach.Frontiers in aging neuroscience · 2026Article
- Advances in ocular motor and pupil biomarkers for neurological disorders.Brain communications · 2026Review
- Predictive Value of Digital Neuropsychological and Gait Assessments on Shunt Outcome in Patients With Idiopathic Normal Pressure Hydrocephalus: Prospective Cohort Study.Journal of medical Internet research · 2025Article
- Construction of a mild cognitive impairment prediction model for Parkinson's disease patients on the basis of multimodal data.NPJ Parkinson's disease · 2025Article
- The Impact of Bulbar and Upper Motor Neuron Involvement on Oculomotor Movement in Amyotrophic Lateral Sclerosis.Brain and behavior · 2025Article
- The effect of cognition on the association between cerebral small vessel disease burden and motor function: a cross-sectional study.European journal of medical research · 2025Article
- Article
- Association between high plasma p-tau181 level and gait changes in patients with mild cognitive impairment.Scientific reports · 2025Article
Corrections and comments
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Authors and funding
19 authors.
Funding
Abstract
introductionWhether the integration of eye-tracking, gait, and corresponding dual-task analysis can distinguish cognitive impairment (CI) patients from controls remains unclear.
methodsOne thousand four hundred eighty-one participants, including 724 CI and 757 controls, were enrolled in this study. Eye movement and gait, combined with dual-task patterns, were measured. The LightGBM machine learning models were constructed.
resultsA total of 105 gait and eye-tracking features were extracted. Forty-six parameters, including 32 gait and 14 eye-tracking features, showed significant differences between two groups (P < 0.05). Of these, the Gait_3Back-TurnTime and Dual-task cost-TurnTime patterns were significantly correlated with plasma phosphorylated tau 181 (p-tau181) level. A model based on dual-task gait, dual-task smooth pursuit, prosaccade, and anti-saccade achieved the best area under the receiver operating characteristics curve (AUC) of 0.987 for CI detection, while combined with p-tau181, the model discriminated mild cognitive impairment from controls with an AUC of 0.824. DISCUSSION: Combining dual-task gait and dual-task eye-tracking analysis is feasible for the detection of CI. HIGHLIGHTS: This is the first study to report the efficiency of integrated parameters of dual-task gait and eye-tracking for cognitive impairment (CI) detection in a large cohort. We identified 46 gait and eye-tracking features associated with CI, and two were correlated to plasma phosphorylated tau 181. We constructed the model based on dual-task gait, smooth pursuit, prosaccade, and anti-saccade, achieving the best area under the curve of 0.987 for CI detection.
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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.