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Multimodal Electrocorticogram Active Electrode Array Based on Zinc Oxide‐Thin Film Transistors
Active electrocorticogram (ECoG) electrodes can amplify weak electrophysiological signals and improve anti‐interference ability; however, traditional active electrodes are opaque and cannot realize photoelectric collaborative observation. In this study, an active and fully transparent ECoG array bas...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9839861/ https://www.ncbi.nlm.nih.gov/pubmed/36403238 http://dx.doi.org/10.1002/advs.202204467 |
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author | Zhang, Fan Zhang, Luxi Xia, Jie Zhao, Wanpeng Dong, Shurong Ye, Zhi Pan, Gang Luo, Jikui Zhang, Shaomin |
author_facet | Zhang, Fan Zhang, Luxi Xia, Jie Zhao, Wanpeng Dong, Shurong Ye, Zhi Pan, Gang Luo, Jikui Zhang, Shaomin |
author_sort | Zhang, Fan |
collection | PubMed |
description | Active electrocorticogram (ECoG) electrodes can amplify weak electrophysiological signals and improve anti‐interference ability; however, traditional active electrodes are opaque and cannot realize photoelectric collaborative observation. In this study, an active and fully transparent ECoG array based on zinc oxide thin‐film transistors (ZnO TFTs) is developed as a local neural signal amplifier for electrophysiological monitoring. The transparency of the proposed ECoG array is up to 85%, which is superior to that of the previously reported active electrode arrays. Various electrical characterizations have demonstrated its ability to record electrophysiological signals with a higher signal‐to‐noise ratio of 19.9 dB compared to the Au grid (13.2 dB). The high transparency of the ZnO‐TFT electrode array allows the concurrent collection of high‐quality electrophysiological signals (32.2 dB) under direct optical stimulation of the optogenetic mice brain. The ECoG array can also work under 7‐Tesla magnetic resonance imaging to record local brain signals without affecting brain tissue imaging. As the most transparent active ECoG array to date, it provides a powerful multimodal tool for brain observation, including recording brain activity under synchronized optical modulation and 7‐Tesla magnetic resonance imaging. |
format | Online Article Text |
id | pubmed-9839861 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98398612023-01-18 Multimodal Electrocorticogram Active Electrode Array Based on Zinc Oxide‐Thin Film Transistors Zhang, Fan Zhang, Luxi Xia, Jie Zhao, Wanpeng Dong, Shurong Ye, Zhi Pan, Gang Luo, Jikui Zhang, Shaomin Adv Sci (Weinh) Research Articles Active electrocorticogram (ECoG) electrodes can amplify weak electrophysiological signals and improve anti‐interference ability; however, traditional active electrodes are opaque and cannot realize photoelectric collaborative observation. In this study, an active and fully transparent ECoG array based on zinc oxide thin‐film transistors (ZnO TFTs) is developed as a local neural signal amplifier for electrophysiological monitoring. The transparency of the proposed ECoG array is up to 85%, which is superior to that of the previously reported active electrode arrays. Various electrical characterizations have demonstrated its ability to record electrophysiological signals with a higher signal‐to‐noise ratio of 19.9 dB compared to the Au grid (13.2 dB). The high transparency of the ZnO‐TFT electrode array allows the concurrent collection of high‐quality electrophysiological signals (32.2 dB) under direct optical stimulation of the optogenetic mice brain. The ECoG array can also work under 7‐Tesla magnetic resonance imaging to record local brain signals without affecting brain tissue imaging. As the most transparent active ECoG array to date, it provides a powerful multimodal tool for brain observation, including recording brain activity under synchronized optical modulation and 7‐Tesla magnetic resonance imaging. John Wiley and Sons Inc. 2022-11-20 /pmc/articles/PMC9839861/ /pubmed/36403238 http://dx.doi.org/10.1002/advs.202204467 Text en © 2022 The Authors. Advanced Science published by Wiley‐VCH GmbH https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Zhang, Fan Zhang, Luxi Xia, Jie Zhao, Wanpeng Dong, Shurong Ye, Zhi Pan, Gang Luo, Jikui Zhang, Shaomin Multimodal Electrocorticogram Active Electrode Array Based on Zinc Oxide‐Thin Film Transistors |
title | Multimodal Electrocorticogram Active Electrode Array Based on Zinc Oxide‐Thin Film Transistors |
title_full | Multimodal Electrocorticogram Active Electrode Array Based on Zinc Oxide‐Thin Film Transistors |
title_fullStr | Multimodal Electrocorticogram Active Electrode Array Based on Zinc Oxide‐Thin Film Transistors |
title_full_unstemmed | Multimodal Electrocorticogram Active Electrode Array Based on Zinc Oxide‐Thin Film Transistors |
title_short | Multimodal Electrocorticogram Active Electrode Array Based on Zinc Oxide‐Thin Film Transistors |
title_sort | multimodal electrocorticogram active electrode array based on zinc oxide‐thin film transistors |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9839861/ https://www.ncbi.nlm.nih.gov/pubmed/36403238 http://dx.doi.org/10.1002/advs.202204467 |
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