ArticleInvestigative ophthalmology & visual science2022
Identifying the Retinal Layers Linked to Human Contrast Sensitivity Via Deep Learning.
Article in Investigative ophthalmology & visual science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Contrast Sensitivity and Low-Contrast Visual Acuity in Children With Low Vision.Investigative ophthalmology & visual science · 2026Article
- Neurosymbolic AI Framework for Explainable Retinal Disease Classification From OCT Images.Translational vision science & technology · 2026Article
- Significant Age-Related Visual Declines but Preserved Binocular Summation of Contrast Sensitivity and Visual Acuity Across Adulthood.Investigative ophthalmology & visual science · 2025Article
- Stratification of the Extent of Visual Impairment Identifies Sex-Specific Degenerative Changes in Retinal Structure and Function during Aging.Journal of integrative neuroscience · 2025Article
- Association Between Contrast Sensitivity and Ganglion Cell-Inner Plexiform Layer Thickness After Resolution of Macular Edema Due to Branch Retinal Vein Occlusion.Journal of clinical medicine · 2025Article
- Association of contrast sensitivity with vessel density and functional parameters in different stages of glaucoma.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2025Article
- An alpha7 nicotinic acetylcholine receptor agonist induces retinal neurogenesis and restores electrophysiological function following blast-induced ocular trauma in adult mice.Frontiers in neuroscience · 2025Article
- Impact of Glaucomatous Ganglion Cell Damage on Central Visual Function.Annual review of vision science · 2024Review
- Correlation of contrast sensitivity with ganglion cell/inner plexiform layer thickness and damage location in glaucoma with varying severity.Eye (London, England) · 2024Article
- MNREAD Reading Vision in Adults With Glaucoma Under Mesopic and Photopic Conditions.Investigative ophthalmology & visual science · 2023Article
- Despite Impaired Binocular Function, Binocular Disparity Integration Across the Visual Field Is Spared in Normal Aging and Glaucoma.Investigative ophthalmology & visual science · 2023Article
- Contrast Sensitivity Function: A More Sensitive Index for Assessing Protective Effects of the Cilioretinal Artery on Macular Function in High Myopia.Investigative ophthalmology & visual science · 2022Article
- Foveal crowding appears to be robust to normal aging and glaucoma unlike parafoveal and peripheral crowding.Journal of vision · 2022Article
- Schizophrenia in Translation: Why the Eye?Schizophrenia bulletin · 2022Article
- Contrast Sensitivity Deficits and Its Structural Correlates in Fuchs Uveitis Syndrome.Frontiers in medicine · 2022Article
- Optic Nerve Sheath Fenestration: A Retrospective Review of Its Safety, Efficacy, and Impact on Optical Coherence Tomography.Ophthalmic plastic and reconstructive surgeryArticle
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Authors and funding
4 authors.
Funding
Abstract
Purpose: Luminance contrast is the fundamental building block of human spatial vision. Therefore contrast sensitivity, the reciprocal of contrast threshold required for target detection, has been a barometer of human visual function. Although retinal ganglion cells (RGCs) are known to be involved in contrast coding, it still remains unknown whether the retinal layers containing RGCs are linked to a person's contrast sensitivity (e.g., Pelli-Robson contrast sensitivity) and, if so, to what extent the retinal layers are related to behavioral contrast sensitivity. Thus the current study aims to identify the retinal layers and features critical for predicting a person's contrast sensitivity via deep learning. Methods: Data were collected from 225 subjects including individuals with either glaucoma, age-related macular degeneration, or normal vision. A deep convolutional neural network trained to predict a person's Pelli-Robson contrast sensitivity from structural retinal images measured with optical coherence tomography was used. Then, activation maps that represent the critical features learned by the network for the output prediction were computed. Results: The thickness of both ganglion cell and inner plexiform layers, reflecting RGC counts, were found to be significantly correlated with contrast sensitivity (r = 0.26 ∼ 0.58, Ps < 0.001 for different eccentricities). Importantly, the results showed that retinal layers containing RGCs were the critical features the network uses to predict a person's contrast sensitivity (an average R2 = 0.36 ± 0.10). Conclusions: The findings confirmed the structure and function relationship for contrast sensitivity while highlighting the role of RGC density for human contrast sensitivity.
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