Literature DB >> 32116093

A Three-Dimensional Microelectrode Array to Generate Virtual Electrodes for Epiretinal Prosthesis Based on a Modeling Study.

Qing Lyu1, Zhuofan Lu1, Heng Li1, Shirong Qiu1, Jiahui Guo1, Xiaohong Sui1, Pengcheng Sun1, Liming Li1, Xinyu Chai1, Nigel H Lovell2.   

Abstract

Despite many advances in the development of retinal prostheses, clinical reports show that current retinal prosthesis subjects can only perceive prosthetic vision with poor visual acuity. A possible approach for improving visual acuity is to produce virtual electrodes (VEs) through electric field modulation. Generating controllable and localized VEs is a crucial factor in effectively improving the perceptive resolution of the retinal prostheses. In this paper, we aimed to design a microelectrode array (MEA) that can produce converged and controllable VEs by current steering stimulation strategies. Through computational modeling, we designed a three-dimensional concentric ring-disc MEA and evaluated its performance with different stimulation strategies. Our simulation results showed that electrode-retina distance (ERD) and inter-electrode distance (IED) can dramatically affect the distribution of electric field. Also the converged VEs could be produced when the parameters of the three-dimensional MEA were appropriately set. VE sites can be controlled by manipulating the proportion of current on each adjacent electrode in a current steering group (CSG). In addition, spatial localization of electrical stimulation can be greatly improved under quasi-monopolar (QMP) stimulation. This study may provide support for future application of VEs in epiretinal prosthesis for potentially increasing the visual acuity of prosthetic vision.

Keywords:  Virtual electrode; electrical stimulation; epiretinal prosthesis; microelectrode array

Year:  2020        PMID: 32116093     DOI: 10.1142/S0129065720500069

Source DB:  PubMed          Journal:  Int J Neural Syst        ISSN: 0129-0657            Impact factor:   5.866


  1 in total

1.  A Patient-Specific Computational Framework for the Argus II Implant.

Authors:  Kathleen E Finn; Hans J Zander; Robert D Graham; Scott F Lempka; James D Weiland
Journal:  IEEE Open J Eng Med Biol       Date:  2020-06-11
  1 in total

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