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Modeling electrical stimulation of retinal ganglion cell with optimizing additive noises for reducing threshold and energy consumption

BACKGROUND: Epiretinal prosthesis is one device for the treatment of blindness, which target retinal ganglion cells (RGCs) by electrodes on retinal surface. The stimulating current of epiretinal prosthesis is an important factor that influences the safety threshold and visual perception. Stochastic...

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Autores principales: Wu, Jing, Jin, Menghua, Qiao, Qingli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5368944/
https://www.ncbi.nlm.nih.gov/pubmed/28347343
http://dx.doi.org/10.1186/s12938-017-0333-z
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author Wu, Jing
Jin, Menghua
Qiao, Qingli
author_facet Wu, Jing
Jin, Menghua
Qiao, Qingli
author_sort Wu, Jing
collection PubMed
description BACKGROUND: Epiretinal prosthesis is one device for the treatment of blindness, which target retinal ganglion cells (RGCs) by electrodes on retinal surface. The stimulating current of epiretinal prosthesis is an important factor that influences the safety threshold and visual perception. Stochastic resonance (SR) can be used to enhance the detection and transmission of subthreshold stimuli in neurons. Here, it was assumed that SR was a potential way to improve the performance of epiretinal prosthesis. The effect of noises on the response of RGCs to electrical stimulation and the energy of stimulating current was studied based on a RGC model. METHODS: The RGC was modeled as a multi-compartment model consisting of dendrites and its branches, soma and axon. To evoke SR, a subthreshold signal, a series of bipolar rectangular pulse sequences, plus stochastic biphasic pulse sequences as noises, were used as a stimulus to the model. The SR-type behavior in the model was characterized by a “power norm” measure. To decrease energy consumption of the stimulation waveform, the stochastic biphasic pulse sequences were only added to the cathode and anode phase of the subthreshold pulse and the noise parameters were optimized by using a genetic algorithm (GA). RESULTS: When certain intensity of noise is added to the subthreshold signal, RGC model can fire. With the noise’s RMS amplitudes increased, more spikes were elicited and the curve of power norm presents the inverted U-like graph. The larger pulse width of stochastic biphasic pulse sequences resulted in higher power norm. The energy consumption and charges of the single bipolar rectangular pulse without noise in threshold level are 468.18 pJ, 15.30 nC, and after adding optimized parameters’s noise to the subthreshold signal, they became 314.8174 pJ, 11.9281 nC and were reduced by 32.8 and 22.0%, respectively. CONCLUSIONS: The SR exists in the RGC model and can enhance the representation of RGC model to the subthreshold signal. Adding the stochastic biphasic pulse sequences to the cathode and anode phase of the subthreshold signal helps to reduce stimulation threshold, energy consumption and charge of RGC stimulation. These may be helpful for improving the performance of epiretinal prosthesis.
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spelling pubmed-53689442017-03-30 Modeling electrical stimulation of retinal ganglion cell with optimizing additive noises for reducing threshold and energy consumption Wu, Jing Jin, Menghua Qiao, Qingli Biomed Eng Online Research BACKGROUND: Epiretinal prosthesis is one device for the treatment of blindness, which target retinal ganglion cells (RGCs) by electrodes on retinal surface. The stimulating current of epiretinal prosthesis is an important factor that influences the safety threshold and visual perception. Stochastic resonance (SR) can be used to enhance the detection and transmission of subthreshold stimuli in neurons. Here, it was assumed that SR was a potential way to improve the performance of epiretinal prosthesis. The effect of noises on the response of RGCs to electrical stimulation and the energy of stimulating current was studied based on a RGC model. METHODS: The RGC was modeled as a multi-compartment model consisting of dendrites and its branches, soma and axon. To evoke SR, a subthreshold signal, a series of bipolar rectangular pulse sequences, plus stochastic biphasic pulse sequences as noises, were used as a stimulus to the model. The SR-type behavior in the model was characterized by a “power norm” measure. To decrease energy consumption of the stimulation waveform, the stochastic biphasic pulse sequences were only added to the cathode and anode phase of the subthreshold pulse and the noise parameters were optimized by using a genetic algorithm (GA). RESULTS: When certain intensity of noise is added to the subthreshold signal, RGC model can fire. With the noise’s RMS amplitudes increased, more spikes were elicited and the curve of power norm presents the inverted U-like graph. The larger pulse width of stochastic biphasic pulse sequences resulted in higher power norm. The energy consumption and charges of the single bipolar rectangular pulse without noise in threshold level are 468.18 pJ, 15.30 nC, and after adding optimized parameters’s noise to the subthreshold signal, they became 314.8174 pJ, 11.9281 nC and were reduced by 32.8 and 22.0%, respectively. CONCLUSIONS: The SR exists in the RGC model and can enhance the representation of RGC model to the subthreshold signal. Adding the stochastic biphasic pulse sequences to the cathode and anode phase of the subthreshold signal helps to reduce stimulation threshold, energy consumption and charge of RGC stimulation. These may be helpful for improving the performance of epiretinal prosthesis. BioMed Central 2017-03-27 /pmc/articles/PMC5368944/ /pubmed/28347343 http://dx.doi.org/10.1186/s12938-017-0333-z Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Wu, Jing
Jin, Menghua
Qiao, Qingli
Modeling electrical stimulation of retinal ganglion cell with optimizing additive noises for reducing threshold and energy consumption
title Modeling electrical stimulation of retinal ganglion cell with optimizing additive noises for reducing threshold and energy consumption
title_full Modeling electrical stimulation of retinal ganglion cell with optimizing additive noises for reducing threshold and energy consumption
title_fullStr Modeling electrical stimulation of retinal ganglion cell with optimizing additive noises for reducing threshold and energy consumption
title_full_unstemmed Modeling electrical stimulation of retinal ganglion cell with optimizing additive noises for reducing threshold and energy consumption
title_short Modeling electrical stimulation of retinal ganglion cell with optimizing additive noises for reducing threshold and energy consumption
title_sort modeling electrical stimulation of retinal ganglion cell with optimizing additive noises for reducing threshold and energy consumption
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5368944/
https://www.ncbi.nlm.nih.gov/pubmed/28347343
http://dx.doi.org/10.1186/s12938-017-0333-z
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