Evidence map›Paper›PMID 26955382›Full record

ArticleDementia and geriatric cognitive disorders extra

Exploring Visual Selective Attention towards Novel Stimuli in Alzheimer's Disease Patients.

Sarah A Chau, Nathan Herrmann, Moshe Eizenman, Jonathan Chung, Krista L Lanctôt

Abstract read
In one paragraph

Article in Dementia and geriatric cognitive disorders extra. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. A novel eye-tracking digital marker outperforms plasma biomarkers in detecting cognitive impairment.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  7. Eye Tracking as a Tool for Detecting Alzheimer's Disease in People With Down Syndrome.Journal of intellectual disability research : JIDR · 2025
    Article
  8. Article
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  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Eye tracking metrics to screen and assess cognitive impairment in patients with neurological disorders.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2020
    Review
  16. Article
  17. Sleep and Attention in Alzheimer's Disease.The Yale journal of biology and medicine · 2019
    Review
  18. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Sarah A ChauNeuropsychopharmacology Research Group, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ont., Canada; Departments of Pharmacology and Toxicology, University of Toronto, Toronto, Ont., Canada.
Nathan HerrmannNeuropsychopharmacology Research Group, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ont., Canada; Departments of Psychiatry, University of Toronto, Toronto, Ont., Canada.
Moshe EizenmanDepartments of Ophthalmology and Vision Sciences, University of Toronto, Toronto, Ont., Canada; Departments of Electrical and Computer Engineering, University of Toronto, Toronto, Ont., Canada; Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ont., Canada.
Jonathan ChungDepartments of Electrical and Computer Engineering, University of Toronto, Toronto, Ont., Canada; Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ont., Canada.
Krista L LanctôtNeuropsychopharmacology Research Group, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Ont., Canada; Departments of Pharmacology and Toxicology, University of Toronto, Toronto, Ont., Canada; Departments of Psychiatry, University of Toronto, Toronto, Ont., Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlzheimer's disease (AD) is associated with selective attention impairments, which could contribute to cognitive and functional deficits. Selective attention can be explored through examination of novelty preference.

aimsIn this study, we quantified novelty preference in AD patients by measuring visual scanning behaviour using an eye tracking paradigm.

methodsMild-to-moderate AD patients and elderly controls viewed slides containing novel and repeated images simultaneously. The outcome measure was time spent on specific images, with novelty preference defined by greater relative fixation time (RFT) on novel versus repeated images. Cognitive status (Standardized Mini-Mental State Examination, SMMSE) and attention (Digit Span, DS) were also measured.

resultsAD patients (age 79.2 ± 6.7 years, SMMSE 22.2 ± 4.0, n = 41) and controls (age 76.2 ± 6.4 years, SMMSE 28.1 ± 2.0, n = 24) were similar in age, education and sex. Compared with controls, AD patients had lower RFT on novel than on repeated images (F1,63 = 11.18, p = 0.001). Further, reduced RFT was associated with lower scores on SMMSE (r63 = 0.288, p = 0.020) and DS (r63 = 0.269, p = 0.030). Within individuals, novelty preference was detected in 92.3% of patients and in 100% of controls.

conclusionThese findings suggest that novelty preference, measured by visual scanning behaviour, can differentiate cognitively healthy and impaired people and may offer a nonverbal, less cognitively demanding method of assessing selective attention.

Indexed as

Alzheimer's diseaseAttention dysfunction/cognitionNovelty preferenceSelective attentionVisual attentionVisual scanning

Identifiers

PMID26955382
PMCPMC4777934

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Registered trials

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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.