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Title: Characteristics of prosthetic vision in rats with subretinal flat and pillar electrode arrays
Abstract

Objective. Retinal prostheses aim to restore sight by electrically stimulating the surviving retinal neurons. In clinical trials of the current retinal implants, prosthetic visual acuity does not exceed 20/550. However, to provide meaningful restoration of central vision in patients blinded by age-related macular degeneration (AMD), prosthetic acuity should be at least 20/200, necessitating a pixel pitch of about 50µm or lower. With such small pixels, stimulation thresholds are high due to limited penetration of electric field into tissue. Here, we address this challenge with our latest photovoltaic arrays and evaluate their performancein vivo.Approach. We fabricated photovoltaic arrays with 55 and 40µm pixels (a) in flat geometry, and (b) with active electrodes on 10µm tall pillars. The arrays were implanted subretinally into rats with degenerate retina. Stimulation thresholds and grating acuity were evaluated using measurements of the visually evoked potentials (VEP).Main results. With 55µm pixels, we measured grating acuity of 48  ±  11µm, which matches the linear pixel pitch of the hexagonal array. This geometrically corresponds to a visual acuity of 20/192 in a human eye, matching the threshold of legal blindness in the US (20/200). With pillar electrodes, the irradiance threshold was nearly halved, and duration threshold reduced by more than three-fold, compared to flat pixels. With 40µm pixels, VEP was too low for reliable measurements of the grating acuity, even with pillar electrodes.Significance. While being helpful for treating a complete loss of sight, current prosthetic technologies are insufficient for addressing the leading cause of untreatable visual impairment—AMD. Subretinal photovoltaic arrays may provide sufficient visual acuity for restoration of central vision in patients blinded by AMD.

 
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NSF-PAR ID:
10303288
Author(s) / Creator(s):
; ; ; ; ; ; ; ; ;
Publisher / Repository:
IOP Publishing
Date Published:
Journal Name:
Journal of Neural Engineering
Volume:
16
Issue:
6
ISSN:
1741-2560
Page Range / eLocation ID:
Article No. 066027
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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