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Multiplexed neural sensor array of graphene solution-gated field-effect transistors

Authors :
Ramon Garcia-Cortadella
Sara Santiago
Anton Sirota
Anton Guimerà-Brunet
Ana Moya Lara
Nathan Schaefer
Gerrit Schwesig
Xavi Illa
Jose A. Garrido
Rosa Villa
Clément Hébert
Gonzalo Guirado
Javier Martínez-Aguilar
Source :
Dipòsit Digital de Documents de la UAB, Universitat Autònoma de Barcelona, 2D Materials
Publication Year :
2020

Abstract

Altres ajuts: 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 (CIBERBBN) at the IMB-CNM. Electrocorticography (ECoG) is a well-established technique to monitor electrophysiological activity from the surface of the brain and has proved crucial for the current generation of neural prostheses and brain-computer interfaces. However, existing ECoG technologies still fail to provide the resolution necessary to accurately map highly localized activity across large brain areas, due to the rapidly increasing size of connector footprint with sensor count. This work demonstrates the use of a flexible array of graphene solution-gated field-effect transistors (gSGFET), exploring the concept of multiplexed readout using an external switching matrix. This approach does not only allow for an increased sensor count, but due to the use of active sensing devices (i.e. transistors) over microelectrodes it makes additional buffer transistors redundant, which drastically eases the complexity of device fabrication on flexible substrates. The presented results pave the way for upscaling the gSGFET technology towards large-scale, high-density μECoG-arrays, eventually capable of resolving neural activity down to a single neuron level, while simultaneously mapping large brain regions.

Details

Language :
English
ISSN :
17483190
Database :
OpenAIRE
Journal :
Dipòsit Digital de Documents de la UAB, Universitat Autònoma de Barcelona, 2D Materials
Accession number :
edsair.doi.dedup.....2f83f5c3442d156a047352a7e4cf334b