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Graphene active sensor arrays for long-term and wireless mapping of wide frequency band epicortical brain activity

Graphene active sensors have demonstrated promising capabilities for the detection of electrophysiological signals in the brain. Their functional properties, together with their flexibility as well as their expected stability and biocompatibility have raised them as a promising building block for la...

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Autores principales: Garcia-Cortadella, R., Schwesig, G., Jeschke, C., Illa, X., Gray, Anna L., Savage, S., Stamatidou, E., Schiessl, I., Masvidal-Codina, E., Kostarelos, K., Guimerà-Brunet, A., Sirota, A., Garrido, J. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7801381/
https://www.ncbi.nlm.nih.gov/pubmed/33431878
http://dx.doi.org/10.1038/s41467-020-20546-w
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author Garcia-Cortadella, R.
Schwesig, G.
Jeschke, C.
Illa, X.
Gray, Anna L.
Savage, S.
Stamatidou, E.
Schiessl, I.
Masvidal-Codina, E.
Kostarelos, K.
Guimerà-Brunet, A.
Sirota, A.
Garrido, J. A.
author_facet Garcia-Cortadella, R.
Schwesig, G.
Jeschke, C.
Illa, X.
Gray, Anna L.
Savage, S.
Stamatidou, E.
Schiessl, I.
Masvidal-Codina, E.
Kostarelos, K.
Guimerà-Brunet, A.
Sirota, A.
Garrido, J. A.
author_sort Garcia-Cortadella, R.
collection PubMed
description Graphene active sensors have demonstrated promising capabilities for the detection of electrophysiological signals in the brain. Their functional properties, together with their flexibility as well as their expected stability and biocompatibility have raised them as a promising building block for large-scale sensing neural interfaces. However, in order to provide reliable tools for neuroscience and biomedical engineering applications, the maturity of this technology must be thoroughly studied. Here, we evaluate the performance of 64-channel graphene sensor arrays in terms of homogeneity, sensitivity and stability using a wireless, quasi-commercial headstage and demonstrate the biocompatibility of epicortical graphene chronic implants. Furthermore, to illustrate the potential of the technology to detect cortical signals from infra-slow to high-gamma frequency bands, we perform proof-of-concept long-term wireless recording in a freely behaving rodent. Our work demonstrates the maturity of the graphene-based technology, which represents a promising candidate for chronic, wide frequency band neural sensing interfaces.
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spelling pubmed-78013812021-01-21 Graphene active sensor arrays for long-term and wireless mapping of wide frequency band epicortical brain activity Garcia-Cortadella, R. Schwesig, G. Jeschke, C. Illa, X. Gray, Anna L. Savage, S. Stamatidou, E. Schiessl, I. Masvidal-Codina, E. Kostarelos, K. Guimerà-Brunet, A. Sirota, A. Garrido, J. A. Nat Commun Article Graphene active sensors have demonstrated promising capabilities for the detection of electrophysiological signals in the brain. Their functional properties, together with their flexibility as well as their expected stability and biocompatibility have raised them as a promising building block for large-scale sensing neural interfaces. However, in order to provide reliable tools for neuroscience and biomedical engineering applications, the maturity of this technology must be thoroughly studied. Here, we evaluate the performance of 64-channel graphene sensor arrays in terms of homogeneity, sensitivity and stability using a wireless, quasi-commercial headstage and demonstrate the biocompatibility of epicortical graphene chronic implants. Furthermore, to illustrate the potential of the technology to detect cortical signals from infra-slow to high-gamma frequency bands, we perform proof-of-concept long-term wireless recording in a freely behaving rodent. Our work demonstrates the maturity of the graphene-based technology, which represents a promising candidate for chronic, wide frequency band neural sensing interfaces. Nature Publishing Group UK 2021-01-11 /pmc/articles/PMC7801381/ /pubmed/33431878 http://dx.doi.org/10.1038/s41467-020-20546-w Text en © The Author(s) 2021, corrected publication 2021 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
Garcia-Cortadella, R.
Schwesig, G.
Jeschke, C.
Illa, X.
Gray, Anna L.
Savage, S.
Stamatidou, E.
Schiessl, I.
Masvidal-Codina, E.
Kostarelos, K.
Guimerà-Brunet, A.
Sirota, A.
Garrido, J. A.
Graphene active sensor arrays for long-term and wireless mapping of wide frequency band epicortical brain activity
title Graphene active sensor arrays for long-term and wireless mapping of wide frequency band epicortical brain activity
title_full Graphene active sensor arrays for long-term and wireless mapping of wide frequency band epicortical brain activity
title_fullStr Graphene active sensor arrays for long-term and wireless mapping of wide frequency band epicortical brain activity
title_full_unstemmed Graphene active sensor arrays for long-term and wireless mapping of wide frequency band epicortical brain activity
title_short Graphene active sensor arrays for long-term and wireless mapping of wide frequency band epicortical brain activity
title_sort graphene active sensor arrays for long-term and wireless mapping of wide frequency band epicortical brain activity
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7801381/
https://www.ncbi.nlm.nih.gov/pubmed/33431878
http://dx.doi.org/10.1038/s41467-020-20546-w
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