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

R. Garcia-Cortadella, G. Schwesig, C. Jeschke, X. Illa, Anna L. Gray, S. Savage, E. Stamatidou, I. Schiessl, E. Masvidal-Codina, K. Kostarelos, A. Guimerà-Brunet, A. Sirota () and J. A. Garrido ()
Additional contact information
R. Garcia-Cortadella: Catalan Institute of Nanoscience and Nanotechnology (ICN2), CSIC and BIST, Campus UAB, Bellaterra
G. Schwesig: Ludwig-Maximilians Universität München
C. Jeschke: Multi Channel Systems (MCS) GmbH
X. Illa: Instituto de Microelectrónica de Barcelona, IMB-CNM (CSIC), Esfera UAB
Anna L. Gray: Nanomedicine Lab, National Graphene Institute and Faculty of Biology, Medicine & Health, University of Manchester
S. Savage: Nanomedicine Lab, National Graphene Institute and Faculty of Biology, Medicine & Health, University of Manchester
E. Stamatidou: Nanomedicine Lab, National Graphene Institute and Faculty of Biology, Medicine & Health, University of Manchester
I. Schiessl: Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester
E. Masvidal-Codina: Instituto de Microelectrónica de Barcelona, IMB-CNM (CSIC), Esfera UAB
K. Kostarelos: Catalan Institute of Nanoscience and Nanotechnology (ICN2), CSIC and BIST, Campus UAB, Bellaterra
A. Guimerà-Brunet: Instituto de Microelectrónica de Barcelona, IMB-CNM (CSIC), Esfera UAB
A. Sirota: Ludwig-Maximilians Universität München
J. A. Garrido: Catalan Institute of Nanoscience and Nanotechnology (ICN2), CSIC and BIST, Campus UAB, Bellaterra

Nature Communications, 2021, vol. 12, issue 1, 1-17

Abstract: Abstract 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.

Date: 2021
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DOI: 10.1038/s41467-020-20546-w

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