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Spatial Summation in the Glaucomatous Macula: A Link With Retinal Ganglion Cell Damage

PURPOSE: The purpose of this study was to test whether functional loss in the glaucomatous macula is characterized by an enlargement of Ricco's area (RA) through the application of a computational model linking retinal ganglion cell (RGC) damage to perimetric sensitivity. METHODS: One eye from...

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Detalles Bibliográficos
Autores principales: Montesano, Giovanni, Redmond, Tony, Mulholland, Pádraig J., Garway-Heath, David F., Ometto, Giovanni, Romano, Dario, Antonacci, Federica, Tanga, Lucia, Carnevale, Carmela, Rossetti, Luca M., Crabb, David P., Oddone, Francesco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10683773/
https://www.ncbi.nlm.nih.gov/pubmed/38010697
http://dx.doi.org/10.1167/iovs.64.14.36
Descripción
Sumario:PURPOSE: The purpose of this study was to test whether functional loss in the glaucomatous macula is characterized by an enlargement of Ricco's area (RA) through the application of a computational model linking retinal ganglion cell (RGC) damage to perimetric sensitivity. METHODS: One eye from each of 29 visually healthy subjects <40 years old, 30 patients with glaucoma, and 20 age-similar controls was tested with a 10-2 grid with stimuli of 5 different area sizes. Structural estimates of point-wise RGC density were obtained from optical coherence tomography (OCT) scans. Structural and functional data from the young healthy cohort were used to estimate the parameters of a computational spatial summation model to generate a template. The template was fitted with a Bayesian hierarchical model to estimate the latent RGC density in patients with glaucoma and age-matched controls. We tested two alternative hypotheses: fitting the data by translating the template horizontally (H(1): change in RA) or vertically (H(2): loss of sensitivity without a change in RA). Root mean squared error (RMSE) of the model fits to perimetric sensitivity were compared. Ninety-five percent confidence intervals were bootstrapped. The dynamic range of the functional and structural RGC density estimates was denoted by their 1st and 99th percentiles. RESULTS: The RMSE was 2.09 (95% CI = 1.92–2.26) under H(1) and 2.49 (95% CI = 2.24–2.72) under H(2) (P < 0.001). The average dynamic range for the structural RGC density estimates was only 11% that of the functional estimates. CONCLUSIONS: Macular sensitivity loss in glaucoma is better described by a model in which RA changes with RGC loss. Structural measurements have limited dynamic range.