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Poster De Conférence Année : 2024

Enhancing visual scene categorization in people with age-related macular degeneration through perceptual learning

Résumé

Age-related macular degeneration (AMD) is characterized by a central vision loss caused by the destruction of macular photoreceptors. Some studies have investigated the visual abilities of AMD patients in their residual vision. Contrast sensitivity measured using sinusoidal gratings has been shown to decrease for high and low spatial frequencies both at fovea and parafovea suggesting that deficits are not confined to central vision. Other studies confirmed a deficit in processing high spatial frequencies in large photographs of scenes in comparison to normally-sighted participants. The processing of low spatial frequencies was relatively well preserved, allowing effective perception of scenes in parafoveal vision. However, the processing of spatial frequencies is impaired by low-level luminance contrast. A promising readaptation strategy for patients is to train their residual vision through perceptual learning in order to diminish their visual deficits. In this study, we investigated whether perceptual learning could improve patients’ performance in processing spatial frequencies in visual scenes. Four AMD patients participated in an intensive training (12 one-hour sessions spread over 4 weeks). They had to categorize large filtered scenes (covering the residual visual field) as indoor or outdoor scenes. Scenes were filtered in low spatial frequencies (LSF) or in high spatial frequencies (HSF) and luminance contrast was equalized between LSF and HSF stimuli. Perceptual learning improvements were assessed by comparing performances in sessions before and after the training, using the same categorization task of LSF and HSF filtered scenes, but different stimuli. For each patient, we compared correct responses between the pre- and post-training sessions by calculating an improvement rate. This allowed us to reduce disparities among patients using the formula: ((post-training results - pretraining results)/pre-training results) * 100. Patients showed an average rate improvement of 14.74% (standard error: 6.59%) in processing HSF filtered scenes and of 8.21% (standard error: 4.22%) in processing LSF filtered scenes. Although these findings are preliminary and have to be confirmed with more patients, they suggest that perceptual learning could be an efficient tool to improve AMD patients’ scene perception in their residual vision.
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Dates et versions

hal-04554693 , version 1 (22-04-2024)

Identifiants

  • HAL Id : hal-04554693 , version 1

Citer

Cynthia Faurite, Célia Michaud, Jade Guénot, Mathilde Gallice, Christophe Chiquet, et al.. Enhancing visual scene categorization in people with age-related macular degeneration through perceptual learning. Forum annuel du GDR Vision (GDR Vision 2024), Feb 2024, Grenoble, France. ⟨hal-04554693⟩
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