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Graphene-Based Electrode Materials for Neural Activity Detection

The neural electrode technique is a powerful tool for monitoring and regulating neural activity, which has a wide range of applications in basic neuroscience and the treatment of neurological diseases. Constructing a high-performance electrode–nerve interface is required for the long-term stable det...

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Detalles Bibliográficos
Autores principales: Wei, Weichen, Wang, Xuejiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8539724/
https://www.ncbi.nlm.nih.gov/pubmed/34683762
http://dx.doi.org/10.3390/ma14206170
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author Wei, Weichen
Wang, Xuejiao
author_facet Wei, Weichen
Wang, Xuejiao
author_sort Wei, Weichen
collection PubMed
description The neural electrode technique is a powerful tool for monitoring and regulating neural activity, which has a wide range of applications in basic neuroscience and the treatment of neurological diseases. Constructing a high-performance electrode–nerve interface is required for the long-term stable detection of neural signals by electrodes. However, conventional neural electrodes are mainly fabricated from rigid materials that do not match the mechanical properties of soft neural tissues, thus limiting the high-quality recording of neuroelectric signals. Meanwhile, graphene-based nanomaterials can form stable electrode–nerve interfaces due to their high conductivity, excellent flexibility, and biocompatibility. In this literature review, we describe various graphene-based electrodes and their potential application in neural activity detection. We also discuss the biological safety of graphene neural electrodes, related challenges, and their prospects.
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spelling pubmed-85397242021-10-24 Graphene-Based Electrode Materials for Neural Activity Detection Wei, Weichen Wang, Xuejiao Materials (Basel) Review The neural electrode technique is a powerful tool for monitoring and regulating neural activity, which has a wide range of applications in basic neuroscience and the treatment of neurological diseases. Constructing a high-performance electrode–nerve interface is required for the long-term stable detection of neural signals by electrodes. However, conventional neural electrodes are mainly fabricated from rigid materials that do not match the mechanical properties of soft neural tissues, thus limiting the high-quality recording of neuroelectric signals. Meanwhile, graphene-based nanomaterials can form stable electrode–nerve interfaces due to their high conductivity, excellent flexibility, and biocompatibility. In this literature review, we describe various graphene-based electrodes and their potential application in neural activity detection. We also discuss the biological safety of graphene neural electrodes, related challenges, and their prospects. MDPI 2021-10-18 /pmc/articles/PMC8539724/ /pubmed/34683762 http://dx.doi.org/10.3390/ma14206170 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Wei, Weichen
Wang, Xuejiao
Graphene-Based Electrode Materials for Neural Activity Detection
title Graphene-Based Electrode Materials for Neural Activity Detection
title_full Graphene-Based Electrode Materials for Neural Activity Detection
title_fullStr Graphene-Based Electrode Materials for Neural Activity Detection
title_full_unstemmed Graphene-Based Electrode Materials for Neural Activity Detection
title_short Graphene-Based Electrode Materials for Neural Activity Detection
title_sort graphene-based electrode materials for neural activity detection
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8539724/
https://www.ncbi.nlm.nih.gov/pubmed/34683762
http://dx.doi.org/10.3390/ma14206170
work_keys_str_mv AT weiweichen graphenebasedelectrodematerialsforneuralactivitydetection
AT wangxuejiao graphenebasedelectrodematerialsforneuralactivitydetection