ArticleFrontiers in neuroscience2023
Eye movement changes as an indicator of mild cognitive impairment.
Article in Frontiers in neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 20 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed, 27 citations in OpenAlex.
- The Association between Saccadic Eye Movement Parameters and Mild Cognitive Impairment: The Nagahama Study.Ophthalmology science · 2026Article
- Evaluating digital cognitive tests for clinical use in Alzheimer's disease: A novel framework and scoping review.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Linking eye movements, pupil responses, and brain networks in early cognitive decline.Alzheimer's research & therapy · 2026Article
- Advances in ocular motor and pupil biomarkers for neurological disorders.Brain communications · 2026Review
- Optical coherence tomography artefact burden predicts cognitive decline and incident dementia.Frontiers in aging neuroscience · 2026Article
- Multimodal data-driven eye-movement subtypes and their cerebral glucose metabolic patterns in Parkinson's disease.Frontiers in aging neuroscience · 2026Article
- Combining Cognitive and Sensorimotor Assessments to Facilitate Detection of Age-Related Cognitive Decline.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2026Article
- An accessible and efficient mobile eye-tracking application for community-based cognitive impairment screening in China.Alzheimer's research & therapy · 2025Article
- A Comparative Analysis of Eye Movement Accuracy for Locating Items Held in Visual Short-Term Memory Among Young Healthy Adults, Older Adults With Normal Cognition, and Older Adults Indicative of Mild Cognitive Impairment.Brain and behavior · 2025Article
- Entorhinal grid-like codes for visual space during memory formation.Nature communications · 2025Article
- Alzheimer's disease digital biomarkers multidimensional landscape and AI model scoping review.NPJ digital medicine · 2025Article
- Quantifying Mild Cognitive Impairments in Older Adults Using Multi-modal Wearable Sensor Data in a Kitchen Environment.medRxiv : the preprint server for health sciences · 2025Article
- Altered GABAergic signaling and chloride homeostasis in eye movement circuits during late neurodevelopment: implications for Alzheimer's disease therapy.Frontiers in pharmacology · 2025Review
- Age- and Sex-Based Developmental Biomarkers in Eye Movements.Brain sciences · 2024Article
- Tests of abnormal gaze behavior increase the accuracy of mild cognitive impairment assessments.Scientific reports · 2024Article
- Integrating Biomarkers From Virtual Reality and Magnetic Resonance Imaging for the Early Detection of Mild Cognitive Impairment Using a Multimodal Learning Approach: Validation Study.Journal of medical Internet research · 2024Article
- Optimizing Machine Learning Models for Accessible Early Cognitive Impairment Prediction: A Novel Cost-effective Model Selection Algorithm.IEEE access : practical innovations, open solutions · 2024Article
- Abnormal eye movements: relationship with clinical symptoms and predictive value for Alzheimer's disease.Frontiers in aging neuroscience · 2024Article
- Consensus on rapid screening for prodromal Alzheimer's disease in China.General psychiatry · 2024Review
- Eye tracking as a diagnostic tool in Alzheimer's disease, mild cognitive impairment, and related dementias: a systematic review.Alzheimer's & dementia (Amsterdam, Netherlands)Review
Corrections and comments
- Erratum issued
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Early identification of patients at risk of dementia, alongside timely medical intervention, can prevent disease progression. Despite their potential clinical utility, the application of diagnostic tools, such as neuropsychological assessments and neuroimaging biomarkers, is hindered by their high cost and time-consuming administration, rendering them impractical for widespread implementation in the general population. We aimed to develop non-invasive and cost-effective classification models for predicting mild cognitive impairment (MCI) using eye movement (EM) data. Methods: We collected eye-tracking (ET) data from 594 subjects, 428 cognitively normal controls, and 166 patients with MCI while they performed prosaccade/antisaccade and go/no-go tasks. Logistic regression (LR) was used to calculate the EM metrics' odds ratios (ORs). We then used machine learning models to construct classification models using EM metrics, demographic characteristics, and brief cognitive screening test scores. Model performance was evaluated based on the area under the receiver operating characteristic curve (AUROC). Results: LR models revealed that several EM metrics are significantly associated with increased odds of MCI, with odds ratios ranging from 1.213 to 1.621. The AUROC scores for models utilizing demographic information and either EM metrics or MMSE were 0.752 and 0.767, respectively. Combining all features, including demographic, MMSE, and EM, notably resulted in the best-performing model, which achieved an AUROC of 0.840. Conclusion: Changes in EM metrics linked with MCI are associated with attentional and executive function deficits. EM metrics combined with demographics and cognitive test scores enhance MCI prediction, making it a non-invasive, cost-effective method to identify early stages of cognitive decline.
Indexed as
Identifiers
What Socratic holds
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 Socratic graph.