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The ultra-thin, minimally invasive surface electrode array NeuroWeb for probing neural activity

Electrophysiological recording technologies can provide valuable insights into the functioning of the central and peripheral nervous systems. Surface electrode arrays made of soft materials or implantable multi-electrode arrays with high electrode density have been widely utilized as neural probes....

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Autores principales: Lee, Jung Min, Pyo, Young-Woo, Kim, Yeon Jun, Hong, Jin Hee, Jo, Yonghyeon, Choi, Wonshik, Lin, Dingchang, Park, Hong-Gyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10625630/
https://www.ncbi.nlm.nih.gov/pubmed/37925553
http://dx.doi.org/10.1038/s41467-023-42860-9
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author Lee, Jung Min
Pyo, Young-Woo
Kim, Yeon Jun
Hong, Jin Hee
Jo, Yonghyeon
Choi, Wonshik
Lin, Dingchang
Park, Hong-Gyu
author_facet Lee, Jung Min
Pyo, Young-Woo
Kim, Yeon Jun
Hong, Jin Hee
Jo, Yonghyeon
Choi, Wonshik
Lin, Dingchang
Park, Hong-Gyu
author_sort Lee, Jung Min
collection PubMed
description Electrophysiological recording technologies can provide valuable insights into the functioning of the central and peripheral nervous systems. Surface electrode arrays made of soft materials or implantable multi-electrode arrays with high electrode density have been widely utilized as neural probes. However, neither of these probe types can simultaneously achieve minimal invasiveness and robust neural signal detection. Here, we present an ultra-thin, minimally invasive neural probe (the “NeuroWeb”) consisting of hexagonal boron nitride and graphene, which leverages the strengths of both surface electrode array and implantable multi-electrode array. The NeuroWeb open lattice structure with a total thickness of 100 nm demonstrates high flexibility and strong adhesion, establishing a conformal and tight interface with the uneven mouse brain surface. In vivo electrophysiological recordings show that NeuroWeb detects stable single-unit activity of neurons with high signal-to-noise ratios. Furthermore, we investigate neural interactions between the somatosensory cortex and the cerebellum using transparent dual NeuroWebs and optical stimulation, and measure the times of neural signal transmission between the brain regions depending on the pathway. Therefore, NeuroWeb can be expected to pave the way for understanding complex brain networks with optical and electrophysiological mapping of the brain.
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spelling pubmed-106256302023-11-06 The ultra-thin, minimally invasive surface electrode array NeuroWeb for probing neural activity Lee, Jung Min Pyo, Young-Woo Kim, Yeon Jun Hong, Jin Hee Jo, Yonghyeon Choi, Wonshik Lin, Dingchang Park, Hong-Gyu Nat Commun Article Electrophysiological recording technologies can provide valuable insights into the functioning of the central and peripheral nervous systems. Surface electrode arrays made of soft materials or implantable multi-electrode arrays with high electrode density have been widely utilized as neural probes. However, neither of these probe types can simultaneously achieve minimal invasiveness and robust neural signal detection. Here, we present an ultra-thin, minimally invasive neural probe (the “NeuroWeb”) consisting of hexagonal boron nitride and graphene, which leverages the strengths of both surface electrode array and implantable multi-electrode array. The NeuroWeb open lattice structure with a total thickness of 100 nm demonstrates high flexibility and strong adhesion, establishing a conformal and tight interface with the uneven mouse brain surface. In vivo electrophysiological recordings show that NeuroWeb detects stable single-unit activity of neurons with high signal-to-noise ratios. Furthermore, we investigate neural interactions between the somatosensory cortex and the cerebellum using transparent dual NeuroWebs and optical stimulation, and measure the times of neural signal transmission between the brain regions depending on the pathway. Therefore, NeuroWeb can be expected to pave the way for understanding complex brain networks with optical and electrophysiological mapping of the brain. Nature Publishing Group UK 2023-11-04 /pmc/articles/PMC10625630/ /pubmed/37925553 http://dx.doi.org/10.1038/s41467-023-42860-9 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 Article
Lee, Jung Min
Pyo, Young-Woo
Kim, Yeon Jun
Hong, Jin Hee
Jo, Yonghyeon
Choi, Wonshik
Lin, Dingchang
Park, Hong-Gyu
The ultra-thin, minimally invasive surface electrode array NeuroWeb for probing neural activity
title The ultra-thin, minimally invasive surface electrode array NeuroWeb for probing neural activity
title_full The ultra-thin, minimally invasive surface electrode array NeuroWeb for probing neural activity
title_fullStr The ultra-thin, minimally invasive surface electrode array NeuroWeb for probing neural activity
title_full_unstemmed The ultra-thin, minimally invasive surface electrode array NeuroWeb for probing neural activity
title_short The ultra-thin, minimally invasive surface electrode array NeuroWeb for probing neural activity
title_sort ultra-thin, minimally invasive surface electrode array neuroweb for probing neural activity
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10625630/
https://www.ncbi.nlm.nih.gov/pubmed/37925553
http://dx.doi.org/10.1038/s41467-023-42860-9
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