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Demonstration of a Robust All-Silicon-Carbide Intracortical Neural Interface

Intracortical neural interfaces (INI) have made impressive progress in recent years but still display questionable long-term reliability. Here, we report on the development and characterization of highly resilient monolithic silicon carbide (SiC) neural devices. SiC is a physically robust, biocompat...

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Autores principales: Bernardin, Evans K., Frewin, Christopher L., Everly, Richard, Ul Hassan, Jawad, Saddow, Stephen E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6187288/
https://www.ncbi.nlm.nih.gov/pubmed/30424345
http://dx.doi.org/10.3390/mi9080412
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author Bernardin, Evans K.
Frewin, Christopher L.
Everly, Richard
Ul Hassan, Jawad
Saddow, Stephen E.
author_facet Bernardin, Evans K.
Frewin, Christopher L.
Everly, Richard
Ul Hassan, Jawad
Saddow, Stephen E.
author_sort Bernardin, Evans K.
collection PubMed
description Intracortical neural interfaces (INI) have made impressive progress in recent years but still display questionable long-term reliability. Here, we report on the development and characterization of highly resilient monolithic silicon carbide (SiC) neural devices. SiC is a physically robust, biocompatible, and chemically inert semiconductor. The device support was micromachined from p-type SiC with conductors created from n-type SiC, simultaneously providing electrical isolation through the resulting p-n junction. Electrodes possessed geometric surface area (GSA) varying from 496 to 500 K μm(2). Electrical characterization showed high-performance p-n diode behavior, with typical turn-on voltages of ~2.3 V and reverse bias leakage below 1 nArms. Current leakage between adjacent electrodes was ~7.5 nArms over a voltage range of −50 V to 50 V. The devices interacted electrochemically with a purely capacitive relationship at frequencies less than 10 kHz. Electrode impedance ranged from 675 ± 130 kΩ (GSA = 496 µm(2)) to 46.5 ± 4.80 kΩ (GSA = 500 K µm(2)). Since the all-SiC devices rely on the integration of only robust and highly compatible SiC material, they offer a promising solution to probe delamination and biological rejection associated with the use of multiple materials used in many current INI devices.
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spelling pubmed-61872882018-11-01 Demonstration of a Robust All-Silicon-Carbide Intracortical Neural Interface Bernardin, Evans K. Frewin, Christopher L. Everly, Richard Ul Hassan, Jawad Saddow, Stephen E. Micromachines (Basel) Article Intracortical neural interfaces (INI) have made impressive progress in recent years but still display questionable long-term reliability. Here, we report on the development and characterization of highly resilient monolithic silicon carbide (SiC) neural devices. SiC is a physically robust, biocompatible, and chemically inert semiconductor. The device support was micromachined from p-type SiC with conductors created from n-type SiC, simultaneously providing electrical isolation through the resulting p-n junction. Electrodes possessed geometric surface area (GSA) varying from 496 to 500 K μm(2). Electrical characterization showed high-performance p-n diode behavior, with typical turn-on voltages of ~2.3 V and reverse bias leakage below 1 nArms. Current leakage between adjacent electrodes was ~7.5 nArms over a voltage range of −50 V to 50 V. The devices interacted electrochemically with a purely capacitive relationship at frequencies less than 10 kHz. Electrode impedance ranged from 675 ± 130 kΩ (GSA = 496 µm(2)) to 46.5 ± 4.80 kΩ (GSA = 500 K µm(2)). Since the all-SiC devices rely on the integration of only robust and highly compatible SiC material, they offer a promising solution to probe delamination and biological rejection associated with the use of multiple materials used in many current INI devices. MDPI 2018-08-18 /pmc/articles/PMC6187288/ /pubmed/30424345 http://dx.doi.org/10.3390/mi9080412 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Bernardin, Evans K.
Frewin, Christopher L.
Everly, Richard
Ul Hassan, Jawad
Saddow, Stephen E.
Demonstration of a Robust All-Silicon-Carbide Intracortical Neural Interface
title Demonstration of a Robust All-Silicon-Carbide Intracortical Neural Interface
title_full Demonstration of a Robust All-Silicon-Carbide Intracortical Neural Interface
title_fullStr Demonstration of a Robust All-Silicon-Carbide Intracortical Neural Interface
title_full_unstemmed Demonstration of a Robust All-Silicon-Carbide Intracortical Neural Interface
title_short Demonstration of a Robust All-Silicon-Carbide Intracortical Neural Interface
title_sort demonstration of a robust all-silicon-carbide intracortical neural interface
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6187288/
https://www.ncbi.nlm.nih.gov/pubmed/30424345
http://dx.doi.org/10.3390/mi9080412
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