Quantifying visual acuity for pre-clinical testing of visual prostheses

Author:

Spencer MartinORCID,Kameneva TatianaORCID,Grayden David B,Burkitt Anthony N,Meffin HamishORCID

Abstract

Abstract Objective. Visual prostheses currently restore only limited vision. More research and pre-clinical work are required to improve the devices and stimulation strategies that are used to induce neural activity that results in visual perception. Evaluation of candidate strategies and devices requires an objective way to convert measured and modelled patterns of neural activity into a quantitative measure of visual acuity. Approach. This study presents an approach that compares evoked patterns of neural activation with target and reference patterns. A d-prime measure of discriminability determines whether the evoked neural activation pattern is sufficient to discriminate between the target and reference patterns and thus provides a quantified level of visual perception in the clinical Snellen and MAR scales. The magnitude of the resulting value was demonstrated using scaled standardized ‘C’ and ‘E’ optotypes. Main results. The approach was used to assess the visual acuity provided by two alternative stimulation strategies applied to simulated retinal implants with different electrode pitch configurations and differently sized spreads of neural activity. It was found that when there is substantial overlap in neural activity generated by different electrodes, an estimate of acuity based only upon electrode pitch is incorrect; our proposed method gives an accurate result in both circumstances. Significance. Quantification of visual acuity using this approach in pre-clinical development will allow for more rapid and accurate prototyping of improved devices and neural stimulation strategies.

Funder

Australian Research Council

Publisher

IOP Publishing

Subject

Cellular and Molecular Neuroscience,Biomedical Engineering

Reference21 articles.

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4. Simulating prosthetic vision: I. Visual models of phosphenes;Chen;Vis. Res.,2009

5. Retinal implants: a systematic review;Chuang;Br. J. Ophthalmol.,2014

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