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Nanomaterial-based microelectrode arrays for in vitro bidirectional brain–computer interfaces: a review

A bidirectional in vitro brain–computer interface (BCI) directly connects isolated brain cells with the surrounding environment, reads neural signals and inputs modulatory instructions. As a noninvasive BCI, it has clear advantages in understanding and exploiting advanced brain function due to the s...

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Autores principales: Liu, Yaoyao, Xu, Shihong, Yang, Yan, Zhang, Kui, He, Enhui, Liang, Wei, Luo, Jinping, Wu, Yirong, Cai, Xinxia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9884667/
https://www.ncbi.nlm.nih.gov/pubmed/36726940
http://dx.doi.org/10.1038/s41378-022-00479-8
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author Liu, Yaoyao
Xu, Shihong
Yang, Yan
Zhang, Kui
He, Enhui
Liang, Wei
Luo, Jinping
Wu, Yirong
Cai, Xinxia
author_facet Liu, Yaoyao
Xu, Shihong
Yang, Yan
Zhang, Kui
He, Enhui
Liang, Wei
Luo, Jinping
Wu, Yirong
Cai, Xinxia
author_sort Liu, Yaoyao
collection PubMed
description A bidirectional in vitro brain–computer interface (BCI) directly connects isolated brain cells with the surrounding environment, reads neural signals and inputs modulatory instructions. As a noninvasive BCI, it has clear advantages in understanding and exploiting advanced brain function due to the simplified structure and high controllability of ex vivo neural networks. However, the core of ex vivo BCIs, microelectrode arrays (MEAs), urgently need improvements in the strength of signal detection, precision of neural modulation and biocompatibility. Notably, nanomaterial-based MEAs cater to all the requirements by converging the multilevel neural signals and simultaneously applying stimuli at an excellent spatiotemporal resolution, as well as supporting long-term cultivation of neurons. This is enabled by the advantageous electrochemical characteristics of nanomaterials, such as their active atomic reactivity and outstanding charge conduction efficiency, improving the performance of MEAs. Here, we review the fabrication of nanomaterial-based MEAs applied to bidirectional in vitro BCIs from an interdisciplinary perspective. We also consider the decoding and coding of neural activity through the interface and highlight the various usages of MEAs coupled with the dissociated neural cultures to benefit future developments of BCIs.
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spelling pubmed-98846672023-01-31 Nanomaterial-based microelectrode arrays for in vitro bidirectional brain–computer interfaces: a review Liu, Yaoyao Xu, Shihong Yang, Yan Zhang, Kui He, Enhui Liang, Wei Luo, Jinping Wu, Yirong Cai, Xinxia Microsyst Nanoeng Review Article A bidirectional in vitro brain–computer interface (BCI) directly connects isolated brain cells with the surrounding environment, reads neural signals and inputs modulatory instructions. As a noninvasive BCI, it has clear advantages in understanding and exploiting advanced brain function due to the simplified structure and high controllability of ex vivo neural networks. However, the core of ex vivo BCIs, microelectrode arrays (MEAs), urgently need improvements in the strength of signal detection, precision of neural modulation and biocompatibility. Notably, nanomaterial-based MEAs cater to all the requirements by converging the multilevel neural signals and simultaneously applying stimuli at an excellent spatiotemporal resolution, as well as supporting long-term cultivation of neurons. This is enabled by the advantageous electrochemical characteristics of nanomaterials, such as their active atomic reactivity and outstanding charge conduction efficiency, improving the performance of MEAs. Here, we review the fabrication of nanomaterial-based MEAs applied to bidirectional in vitro BCIs from an interdisciplinary perspective. We also consider the decoding and coding of neural activity through the interface and highlight the various usages of MEAs coupled with the dissociated neural cultures to benefit future developments of BCIs. Nature Publishing Group UK 2023-01-30 /pmc/articles/PMC9884667/ /pubmed/36726940 http://dx.doi.org/10.1038/s41378-022-00479-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Review Article
Liu, Yaoyao
Xu, Shihong
Yang, Yan
Zhang, Kui
He, Enhui
Liang, Wei
Luo, Jinping
Wu, Yirong
Cai, Xinxia
Nanomaterial-based microelectrode arrays for in vitro bidirectional brain–computer interfaces: a review
title Nanomaterial-based microelectrode arrays for in vitro bidirectional brain–computer interfaces: a review
title_full Nanomaterial-based microelectrode arrays for in vitro bidirectional brain–computer interfaces: a review
title_fullStr Nanomaterial-based microelectrode arrays for in vitro bidirectional brain–computer interfaces: a review
title_full_unstemmed Nanomaterial-based microelectrode arrays for in vitro bidirectional brain–computer interfaces: a review
title_short Nanomaterial-based microelectrode arrays for in vitro bidirectional brain–computer interfaces: a review
title_sort nanomaterial-based microelectrode arrays for in vitro bidirectional brain–computer interfaces: a review
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9884667/
https://www.ncbi.nlm.nih.gov/pubmed/36726940
http://dx.doi.org/10.1038/s41378-022-00479-8
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