ArticleAlzheimer's & dementia (Amsterdam, Netherlands)2022
Memory-driven eye movements prospectively predict dementia in people at risk of Alzheimer's disease.
Article in Alzheimer's & dementia (Amsterdam, Netherlands), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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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.
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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.
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Who cites it
8 citing papers in PubMed, 10 citations in OpenAlex.
- A framework of digital biomarkers for neurodegenerative diseases.Nature reviews bioengineering · 2026Article
- Advances in ocular motor and pupil biomarkers for neurological disorders.Brain communications · 2026Review
- Visual Function in Alzheimer's Disease: Current Understanding and Potential Mechanisms Behind Visual Impairment.Journal of clinical medicine · 2025Review
- Eye movements powered by artificial intelligence identify asymptomatic carriers of familial Alzheimer's disease.Brain communications · 2025Article
- Memory-driven eye movements prospectively predict dementia in people at risk of Alzheimer's disease.Alzheimer's & dementia (Amsterdam, Netherlands) · 2022Article
- Eye movement analysis during working memory tasks correlates with cognitive, clinical, and anatomical metrics in multiple sclerosis.Multiple sclerosis journal - experimental, translational and clinicalArticle
- Abnormal eye movements increase as motor disabilities and cognitive impairments become more evident in Multiple Sclerosis: A novel eye-tracking study.Multiple sclerosis journal - experimental, translational and clinicalArticle
- Review
Corrections and comments
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Authors and funding
3 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Oculomotor behaviors linked to cognitive performance revealed neurocognitive features of Alzheimer's disease (AD) that can enhance the accuracy of its assessment and diagnosis. Methods: A sample of 107 participants (i.e., 65 mild cognitive impairment [MCI] and 42 controls) were recruited and followed up for 40 months. At baseline, they underwent assessment with the ViewMind digital biomarker, which draws cognitive-related patterns of eye movement while people perform the visual short-term memory binding task. Results: Baseline data predicted that 36 patients with MCI would progress to the AD clinical syndrome (ADS Progressing). The remaining 29 MCI patients were predicted to remain as MCI or progress to other forms of dementia. After 40 months of follow-up, 94% of ADS Progressing patients had received a diagnosis of dementia, whereas none of the non-ADS Progressing had. Discussion: The analysis of eye movement behavior combined with cognitive markers for AD can effectively predict progression to ADS among patients with MCI.
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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.