Face memory deficits in subjects with eye diseases: a comparative analysis between glaucoma and age-related macular degeneration patients from a developing country

Mazzoli, Livia S.; Urata, Carla N.; Kasahara, Niro

doi:10.1007/s00417-019-04380-5

Cited by 11 publications

(12 citation statements)

References 19 publications

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“…Although face recognition difficulties are not a major complaint among glaucoma patients, several studies have reported impairments, either self-reported in questionnaires 5 or in psychophysical experiments. [6][7][8][9] For instance, with the Cambridge Face Memory Test in which participants have to recognize previously seen faces within new faces in forced-choice recognition trials, Glen et al 6 showed that people with advanced glaucomatous visual field defects, specifically within the central 10°, performed worse at face recognition than people with less advanced defects and age-matched controls. With the same face memory test, Mazzoli et al 9 also reported that patients at a severe stage of glaucoma had lower face recognition performance.…”

Section: Introductionmentioning

confidence: 99%

Sensitivity to Central Crowding for Faces in Patients With Glaucoma

Stievenard

Rouland

Peyrin

et al. 2020

Journal of Glaucoma

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Purpose: to investigate whether face recognition difficulties reported by some patients with glaucoma result from a greater sensitivity to inner crowding in central vision. Method: Seventeen patients with glaucoma and 17 age-matched normally sighted controls participated. An isolated mouth (uncrowded condition) or a mouth within a face (crowded condition) was randomly displayed centrally for 200 ms. For each condition, participants were asked to decide whether the mouth was closed or open. The stimuli were presented at three angular sizes (0.6° x 0.4°, 1° x 0.72°, and 1.5° x 1.08°). Accuracy was measured. Results: Crowding affected performance differentially for patients and controls. Consistent with previous studies controls exhibited a "face superiority effect", with a better accuracy when the mouth was located within the face than when it was isolated. A sensitivity to crowding, reflected in a better accuracy with the isolated mouth, was observed in 10 out of 17 patients only for small images. Crowding disappeared for larger faces, as the facial features were spaced out. Five patients were not sensitive to crowding. Importantly, no difference was found between the two subgroups of patients (sensitive vs non sensitive) in terms of Mean Deviation, contrast sensitivity, acuity, thickness of the RNLF or macular GCIPL. Conclusion: An excessive sensitivity to central crowding might explain the difficulties in face perception and reading reported by some patients with glaucoma. The sensory or cognitive processes underlying this excessive sensitivity must be elucidated to improve central perception in glaucoma. Powered by Editorial Manager® and ProduXion Manager® from Aries Systems Corporation The photo number 18 of the NimStim database is allowed for publication in scientific journals. "Only models #01, 03, 18, 28, 40, & 45 may be published, and these may only be published in scientific journals. Researchers may not publish images from the remaining models anywhere."

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Section: Introductionmentioning

confidence: 99%

Sensitivity to Central Crowding for Faces in Patients With Glaucoma

Stievenard

Rouland

Peyrin

et al. 2020

Journal of Glaucoma

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“…People with vision impairment report difficulties with both discrimination of familiar faces and recognition of facial expressions under a range of conditions, with potential to cause anxiety, embarrassment, avoidance of social situations and social isolation 1–4 . Studies have shown that ocular conditions affecting central or peripheral vision can cause reduced performance on various face recognition tasks, 5–18 and that both impaired visual acuity (VA) and contrast sensitivity (CS) are associated with poor face recognition 5–11 . Although most previous studies have investigated the relationship between vision impairment and face recognition under photopic conditions, people with vision impairment also report difficulties with face recognition under low luminance conditions, such as seeing faces in a dim restaurant 19 …”

Section: Introductionmentioning

confidence: 99%

Effect of low luminance on face recognition in adults with central and peripheral vision loss

Venugopal

Wood

Black

et al. 2023

Ophthalmic Physiologic Optic

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PurposeTo investigate the effect of low luminance on face recognition, specifically facial identity discrimination (FID) and facial expression recognition (FER), in adults with central vision loss (CVL) and peripheral vision loss (PVL) and to explore the association between clinical vision measures and low luminance FID and FER.MethodsParticipants included 33 adults with CVL, 17 with PVL and 20 controls. FID and FER were assessed under photopic and low luminance conditions. For the FID task, 12 sets of three faces with neutral expressions were presented and participants asked to indicate the odd‐face‐out. For FER, 12 single faces were presented and participants asked to name the expression (neutral, happy or angry). Photopic and low luminance visual acuity (VA) and contrast sensitivity (CS) were recorded for all participants and for the PVL group, Humphrey Field Analyzer (HFA) 24‐2 mean deviation (MD).ResultsFID accuracy in CVL, and to a lesser extent PVL, was reduced under low compared with photopic luminance (mean reduction 20% and 8% respectively; p < 0.001). FER accuracy was reduced only in CVL (mean reduction 25%; p < 0.001). For both CVL and PVL, low luminance and photopic VA and CS were moderately to strongly correlated with low luminance FID (ρ = 0.61–0.77, p < 0.05). For PVL, better eye HFA 24‐2 MD was moderately correlated with low luminance FID (ρ = 0.54, p = 0.02). Results were similar for low luminance FER. Together, photopic VA and CS explained 75% of the variance in low luminance FID, and photopic VA explained 61% of the variance in low luminance FER. Low luminance vision measures explained little additional variance.ConclusionLow luminance significantly reduced face recognition, particularly for adults with CVL. Worse VA and CS were associated with reduced face recognition. Clinically, photopic VA is a good predictor of face recognition under low luminance conditions.

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“…Our previous work suggests that face discrimination and visual search are two tasks that are particularly important to patients, and are often impaired in people with glaucoma or age‐related macular degeneration . Currently, however, the equipment required for these tests is bulky, and the tests themselves often relatively time‐consuming, making them appropriate only for use in research.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore there is substantial clinical interest in developing more 'patient friendly' tests that can quickly and easily assess real-world visual function. [11][12][13][14][15] Our previous work suggests that face discrimination and visual search are two tasks that are particularly important to patients, and are often impaired in people with glaucoma [16][17][18][19][20][21] or age-related macular degeneration. [22][23][24] Currently, however, the equipment required for these tests is bulky, and the tests themselves often relatively time-consuming, making them appropriate only for use in research.…”

Section: Introductionmentioning

confidence: 99%

Refinement and preliminary evaluation of two tablet‐based tests of real‐world visual function

Jones

Tigchelaar

Demaria

et al. 2019

Ophthalmic Physiologic Optic

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Purpose To describe, refine, evaluate, and provide normative control data for two freely available tablet‐based tests of real‐world visual function, using a cohort of young, normally‐sighted adults. Methods Fifty young (18–40 years), normally‐sighted adults completed tablet‐based assessments of (1) face discrimination and (2) visual search. Each test was performed twice, to assess test‐retest repeatability. Post‐hoc analyses were performed to determine the number of trials required to obtain stable estimates of performance. Distributions were fitted to the normative data to determine the 99% population‐boundary for normally sighted observers. Participants were also asked to rate their comprehension of each test. Results Both tests provided stable estimates in around 20 trials (~1–4 min), with only a further reduction of 14%–17% in the 95% Coefficient of Repeatability (CoR95) when an additional 40 trials were included. When using only ~20 trials: median durations for the first run of each test were 191 s (Faces) and 51 s (Search); test‐retest CoR95 were 0.27 d (Faces) and 0.84 s (Search); and normative 99% population‐limits were 3.50 d (Faces) and 3.1 s (Search). No participants exhibited any difficulties completing either test (100% completion rate), and ratings of task‐understanding were high (Faces: 9.6 out of 10; Search: 9.7 out of 10). Conclusions This preliminary assessment indicated that both tablet‐based tests are able to provide simple, quick, and easy‐to‐administer measures of real‐world visual function in normally‐sighted young adults. Further work is required to assess their accuracy and utility in older people and individuals with visual impairment. Potential applications are discussed, including their use in clinic waiting rooms, and as an objective complement to Patient Reported Outcome Measures (PROMs).

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Face memory deficits in subjects with eye diseases: a comparative analysis between glaucoma and age-related macular degeneration patients from a developing country

Cited by 11 publications

References 19 publications

Sensitivity to Central Crowding for Faces in Patients With Glaucoma

Sensitivity to Central Crowding for Faces in Patients With Glaucoma

Effect of low luminance on face recognition in adults with central and peripheral vision loss

Refinement and preliminary evaluation of two tablet‐based tests of real‐world visual function

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