Literature DB >> 26736592

Resistivity profiles of wild-type, rd1, and rd10 mouse retina.

James D Weiland.   

Abstract

Electrical impedance of the retina is a critical factor in retinal prostheses, determining the intraretinal current flow and potential distribution of electrical stimulation. Previous resistivity measurements in retina were limited to healthy retina, and didn't include mouse models, a common and important animal model in retinal research. This experimental study measured the resistivity profiles of wild-type, rd1, and rd10 mice, providing basis for computational simulations and predictive modeling studies. The peak resistance frequency method has been utilized to measure the resistivity profiles of the retina cross section, and the results show agreement with previous studies in retina of normal rats and embryonic chicks. Retinal degeneration affects the width of the profile, which is in agreement with histological measurements. Degeneration also results in lower peak resistivity. The results indicate that, on the mesoscopic scale, resistivity is dominated by spatial factors, while influence of remodeling on the cellular level is not apparent under such scale.

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Year:  2015        PMID: 26736592     DOI: 10.1109/EMBC.2015.7318692

Source DB:  PubMed          Journal:  Annu Int Conf IEEE Eng Med Biol Soc        ISSN: 2375-7477


  7 in total

1.  Optimization of pillar electrodes in subretinal prosthesis for enhanced proximity to target neurons.

Authors:  Thomas Flores; Xin Lei; Tiffany Huang; Henri Lorach; Roopa Dalal; Ludwig Galambos; Theodore Kamins; Keith Mathieson; Daniel Palanker
Journal:  J Neural Eng       Date:  2018-02-01       Impact factor: 5.379

2.  Analysis of the Peak Resistance Frequency Method.

Authors:  Boshuo Wang; James D Weiland
Journal:  IEEE Trans Biomed Eng       Date:  2015-12-17       Impact factor: 4.538

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

4.  Bayesian inference for biophysical neuron models enables stimulus optimization for retinal neuroprosthetics.

Authors:  Jonathan Oesterle; Christian Behrens; Cornelius Schröder; Thoralf Hermann; Thomas Euler; Katrin Franke; Robert G Smith; Günther Zeck; Philipp Berens
Journal:  Elife       Date:  2020-10-27       Impact factor: 8.140

5.  Honeycomb-shaped electro-neural interface enables cellular-scale pixels in subretinal prosthesis.

Authors:  Thomas Flores; Tiffany Huang; Mohajeet Bhuckory; Elton Ho; Zhijie Chen; Roopa Dalal; Ludwig Galambos; Theodore Kamins; Keith Mathieson; Daniel Palanker
Journal:  Sci Rep       Date:  2019-07-23       Impact factor: 4.379

6.  Applications of Bioimpedance Measurement Techniques in Tissue Engineering.

Authors:  M Amini; J Hisdal; H Kalvøy
Journal:  J Electr Bioimpedance       Date:  2018-12-31

7.  Minimizing Iridium Oxide Electrodes for High Visual Acuity Subretinal Stimulation.

Authors:  Samir Damle; Maya Carleton; Theodoros Kapogianis; Shaurya Arya; Melina Cavichini-Corderio; William R Freeman; Yu-Hwa Lo; Nicholas W Oesch
Journal:  eNeuro       Date:  2021-12-23
  7 in total

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