Literature DB >> 25023532

Performance optimization of current focusing and virtual electrode strategies in retinal implants.

Gita Khalili Moghaddam1, Nigel H Lovell1, Robert G H Wilke1, Gregg J Suaning1, Socrates Dokos2.   

Abstract

The electrode configuration in an implanted visual prosthesis array affects the spatial electric field distribution within the retina, contributing to current focusing and virtual electrode (VE) stimulation strategies. In this paper, a finite element model incorporating various electrode configurations was used to study the interaction between electrode size and electrode-to-cell distance in current focusing and VE stimulation paradigms. The electrode array unit comprises an active electrode, six flanking return electrodes and a distant monopolar return. A quasi-monopolar (QMP) fraction is defined as the proportion of current which can be preferentially returned through the distant return, in comparison with the more adjacent flanking electrodes. The simulation results indicate that current focusing and VE strategies can be optimized by tuning the QMP fraction. The QMP fraction is adjusted to optimize the electric field spread based on retinal ganglion cell (RGC) density in the degenerate retina, thereby offsetting the effect of inhomogeneous distribution of surviving RGCs and leading to a uniform stimulation paradigm across electrodes. Importantly, there is negligible difference in functional performance across electrode configurations for distances less than the electrode diameter, implying that the stimulation mode does not significantly affect activation threshold or activated retinal area for electrode diameters greater than the retinal thickness. Furthermore, the QMP fraction has a significant effect on VE performance, defined by activation threshold and activated retinal area, when threshold current is evenly divided between two adjacent active electrodes.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Keywords:  Current steering; Neuroprosthesis; Retinal implant; Virtual electrode

Mesh:

Year:  2014        PMID: 25023532     DOI: 10.1016/j.cmpb.2014.06.012

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  4 in total

1.  Virtual electrode design for increasing spatial resolution in retinal prosthesis.

Authors:  Kyle Loizos; Carlos Cela; Robert Marc; Gianluca Lazzi
Journal:  Healthc Technol Lett       Date:  2016-04-27

2.  Increasing Electrical Stimulation Efficacy in Degenerated Retina: Stimulus Waveform Design in a Multiscale Computational Model.

Authors:  Kyle Loizos; Robert Marc; Mark Humayun; James R Anderson; Bryan W Jones; Gianluca Lazzi
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2018-06       Impact factor: 3.802

3.  On the computation of a retina resistivity profile for applications in multi-scale modeling of electrical stimulation and absorption.

Authors:  Kyle Loizos; Anil Kumar RamRakhyani; James Anderson; Robert Marc; Gianluca Lazzi
Journal:  Phys Med Biol       Date:  2016-05-25       Impact factor: 3.609

Review 4.  Retinal Prosthetic Approaches to Enhance Visual Perception for Blind Patients.

Authors:  Shinyong Shim; Kyungsik Eom; Joonsoo Jeong; Sung June Kim
Journal:  Micromachines (Basel)       Date:  2020-05-24       Impact factor: 2.891

  4 in total

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