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Model-Based Recommendations for Optimal Surgical Placement of Epiretinal Implants

View ORCID ProfileMichael Beyeler, View ORCID ProfileGeoffrey M. Boynton, View ORCID ProfileIone Fine, View ORCID ProfileAriel Rokem
doi: https://doi.org/10.1101/743484
Michael Beyeler
1Department of Psychology, University of Washington, Seattle, WA 98195, USA
2Institute for Neuroengineering (UWIN), University of Washington, Seattle, WA 98195, USA
3eScience Institute, University of Washington, Seattle, WA 98195, USA
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  • For correspondence: mbeyeler@uw.edu
Geoffrey M. Boynton
1Department of Psychology, University of Washington, Seattle, WA 98195, USA
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Ione Fine
1Department of Psychology, University of Washington, Seattle, WA 98195, USA
2Institute for Neuroengineering (UWIN), University of Washington, Seattle, WA 98195, USA
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Ariel Rokem
2Institute for Neuroengineering (UWIN), University of Washington, Seattle, WA 98195, USA
3eScience Institute, University of Washington, Seattle, WA 98195, USA
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Abstract

A major limitation of current electronic retinal implants is that in addition to stimulating the intended retinal ganglion cells, they also stimulate passing axon fibers, producing perceptual ‘streaks’ that limit the quality of the generated visual experience. Recent evidence suggests a dependence between the shape of the elicited visual percept and the retinal location of the stimulating electrode. However, this knowledge has yet to be incorporated into the surgical placement of retinal implants. Here we systematically explored the space of possible implant configurations to make recommendations for optimal intraocular positioning of the electrode array. Using a psychophysically validated computational model, we demonstrate that better implant placement has the potential to reduce the spatial extent of axonal activation in existing implant users by up to ∼55 %. Importantly, the best implant location, as inferred from a population of simulated virtual patients, is both surgically feasible and is relatively stable across individuals. This study is a first step towards the use of computer simulations in patient-specific planning of retinal implant surgery.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted August 22, 2019.
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Model-Based Recommendations for Optimal Surgical Placement of Epiretinal Implants
Michael Beyeler, Geoffrey M. Boynton, Ione Fine, Ariel Rokem
bioRxiv 743484; doi: https://doi.org/10.1101/743484
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Model-Based Recommendations for Optimal Surgical Placement of Epiretinal Implants
Michael Beyeler, Geoffrey M. Boynton, Ione Fine, Ariel Rokem
bioRxiv 743484; doi: https://doi.org/10.1101/743484

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