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Switchless multiplexing of graphene active sensor arrays for brain mapping

Authors :
Anton Sirota
Xavi Illa
Sara Santiago
Anton Guimerà-Brunet
Jose A. Garrido
Francesc Serra-Graells
Gerrit Schwesig
Jose Cisneros-Fernandez
Ramon Garcia-Cortadella
Gonzalo Guirado
Nathan Schäfer
Lucia Ré
Rosa Villa
Ana Moya
European Commission
Agencia Estatal de Investigación (España)
Generalitat de Catalunya
Ministerio de Ciencia, Innovación y Universidades (España)
Fundación 'la Caixa'
Universidad Autónoma de Barcelona
Instituto de Salud Carlos III
Source :
Dipòsit Digital de Documents de la UAB, Universitat Autònoma de Barcelona, Digital.CSIC. Repositorio Institucional del CSIC, instname, Nano Letters
Publication Year :
2020

Abstract

Sensor arrays used to detect electrophysiological signals from the brain are paramount in neuroscience. However, the number of sensors that can be interfaced with macroscopic data acquisition systems currently limits their bandwidth. This bottleneck originates in the fact that, typically, sensors are addressed individually, requiring a connection for each of them. Herein, we present the concept of frequency-division multiplexing (FDM) of neural signals by graphene sensors. We demonstrate the high performance of graphene transistors as mixers to perform amplitude modulation (AM) of neural signals in situ, which is used to transmit multiple signals through a shared metal line. This technology eliminates the need for switches, remarkably simplifying the technical complexity of state-of-the-art multiplexed neural probes. Besides, the scalability of FDM graphene neural probes has been thoroughly evaluated and their sensitivity demonstrated in vivo. Using this technology, we envision a new generation of high-count conformal neural probes for high bandwidth brain machine interfaces.<br />This work has been funded by the European Union’s Horizon 2020 research and innovation programme under Grant Agreement 732032 (BrainCom), Grant Agreement 85219 and 881603 (Graphene Flagship). The ICN2 is supported by the Severo Ochoa Centres of Excellence programme, funded by the Spanish Research Agency (AEI, Grant SEV-2017-0706), and by the CERCA Programme/Generalitat de Catalunya. R.G.C. and N.S. acknowledge that this work has been done in the framework of the Ph.D. in Electrical and Telecommunication Engineering at the Universitat Autonoma de Barcelona. R.G.C is supported by the International Ph.D. Programme La Caixa - Severo Ochoa (Programa Internacional de Becas “la Caixa”-Severo Ochoa). This work has made use of the Spanish ICTS Network MICRONANOFABS partially supported by MICINN and the ICTS “NANBIOSIS”, more specifically by the Micro-NanoTechnology Unit of the CIBER in Bioengineering, Biomaterials, and Nanomedicine (CIBER-BBN) at the IMB-CNM. This work is within the project 2DTecBio (FIS2017-85787-R) funded by the “Ministerio de Ciencia, Innovacion y Universidades” of Spain, the “Agencia Estatal de Investigacion (AEI)”, and the “Fondo Europeo de Desarrollo Regional (FEDER/UE)” and has received funding from Generalitat de Cataluña 2017 SGR 1426.

Details

Database :
OpenAIRE
Journal :
Dipòsit Digital de Documents de la UAB, Universitat Autònoma de Barcelona, Digital.CSIC. Repositorio Institucional del CSIC, instname, Nano Letters
Accession number :
edsair.doi.dedup.....c97c2855d2d5af1d2c7869c532c66a85