Evidence map›Paper›PMID 30315188›Full record

ArticleScientific reports2018

Improving face identity perception in age-related macular degeneration via caricaturing.

Jo Lane, Emilie M F Rohan, Faran Sabeti, Rohan W Essex, Ted Maddess, Nick Barnes, Xuming He, Rachel A Robbins, Tamara Gradden, Elinor McKone

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Relationships between retinal structure and function and vision-related quality of life measures in advanced age-related macular degeneration.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2021
    Article
  6. 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

10 authors.

Jo LaneResearch School of Psychology, and ARC Centre of Excellence in Cognition and its Disorders, The Australian National University, Canberra, ACT, Australia.
Emilie M F RohanJohn Curtin School of Medical Research (JCSMR), The Australian National University, Canberra, ACT, Australia.
Faran SabetiJohn Curtin School of Medical Research (JCSMR), The Australian National University, Canberra, ACT, Australia.
Rohan W EssexAcademic Unit of Ophthalmology, The Australian National University, Canberra, ACT, Australia.ORCID http://orcid.org/0000-0001-5323-0334
Ted MaddessJohn Curtin School of Medical Research (JCSMR), The Australian National University, Canberra, ACT, Australia.ORCID http://orcid.org/0000-0003-4591-3658
Nick BarnesResearch School of Engineering, The Australian National University, and Data61, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Canberra, ACT, Australia.
Xuming HeSchool of Information Science and Technology, ShanghaiTech University, Shanghai, China.
Rachel A RobbinsResearch School of Psychology, The Australian National University, Canberra, ACT, Australia.
Tamara GraddenResearch School of Psychology, The Australian National University, Canberra, ACT, Australia.
Elinor McKoneResearch School of Psychology, and ARC Centre of Excellence in Cognition and its Disorders, The Australian National University, Canberra, ACT, Australia. elinor.mckone@anu.edu.au.

Funding

Australian Research Council (ARC) DP150100684Centre of Excellence in Cognition and its Disorders, Australian Research Council (Australian Research Council Centre of Excellence in Cognition and its Disorders) CE110001021Department of Health | National Health and Medical Research Council (NHMRC) 1063458
6 · The paper itself

Abstract

Patients with age-related macular degeneration (AMD) have difficulty recognising people's faces. We tested whether this could be improved using caricaturing: an image enhancement procedure derived from cortical coding in a perceptual 'face-space'. Caricaturing exaggerates the distinctive ways in which an individual's face shape differs from the average. We tested 19 AMD-affected eyes (from 12 patients; ages 66-93 years) monocularly, selected to cover the full range of vision loss. Patients rated how different in identity people's faces appeared when compared in pairs (e.g., two young men, both Caucasian), at four caricature strengths (0, 20, 40, 60% exaggeration). This task gives data reliable enough to analyse statistically at the individual-eye level. All 9 eyes with mild vision loss (acuity ≥ 6/18) showed significant improvement in identity discrimination (higher dissimilarity ratings) with caricaturing. The size of improvement matched that in normal-vision young adults. The caricature benefit became less stable as visual acuity further decreased, but caricaturing was still effective in half the eyes with moderate and severe vision loss (significant improvement in 5 of 10 eyes; at acuities from 6/24 to poorer than <6/360). We conclude caricaturing has the potential to help many AMD patients recognise faces.

Indexed as

AgedAged, 80 and overFaceFacial RecognitionFemaleHumansMacular DegenerationMalePhotic StimulationVision DisordersVisual Acuity

Identifiers

PMID30315188
PMCPMC6185956

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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.