Flexible Graphene Solution-Gated Field-Effect Transistors

Brain-computer interfaces and neural prostheses based on the detection of electrocorticography (ECoG) signals are rapidly growing fields of research. Several technologies are currently competing to be the first to reach the market; however, none of them fulfill yet all the requirements of the ideal...

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Detalles Bibliográficos
Autores: Hébert, Clément|||0000-0001-9667-033X, Masvidal Codina, Eduard|||0000-0002-9579-8603, Suarez-Pérez, Alejandro, Bonaccini Calia, Andrea|||0000-0002-7873-4296, Piret, Gaelle, Garcia Cortadella, Ramon|||0000-0002-1506-6534, Illa, Xavi|||0000-0002-3212-1128, Del Corro, Elena|||0000-0001-6452-9139, De la Cruz, Jose|||0000-0001-9656-9653, Viana, Damia|||0000-0001-8558-986X, Prats Alfonso, Elisabet|||0000-0002-7320-1896, Bousquet, Jessica|||0000-0001-5721-8092, Godignon, Philippe, Yvert, B, Villa, Rosa|||0000-0003-2735-3204, Sánchez-Vives, María V|||0000-0002-8437-9083, Guimerà Brunet, Anton|||0000-0003-1768-3293, Garrido, Jose|||0000-0001-5621-1067
Tipo de recurso: artículo
Fecha de publicación:2018
País:España
Institución:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:189420
Acceso en línea:https://ddd.uab.cat/record/189420
https://dx.doi.org/urn:doi:10.1002/adfm.201703976
Access Level:acceso abierto
Palabra clave:Brain-computer interfaces
Electrocorticography
Field-effect transistors
Graphene
Neurotechnology
Descripción
Sumario:Brain-computer interfaces and neural prostheses based on the detection of electrocorticography (ECoG) signals are rapidly growing fields of research. Several technologies are currently competing to be the first to reach the market; however, none of them fulfill yet all the requirements of the ideal interface with neurons. Thanks to its biocompatibility, low dimensionality, mechanical flexibility, and electronic properties, graphene is one of the most promising material candidates for neural interfacing. After discussing the operation of graphene solution-gated field-effect transistors (SGFET) and characterizing their performance in saline solution, it is reported here that this technology is suitable for μ-ECoG recordings through studies of spontaneous slow-wave activity, sensory-evoked responses on the visual and auditory cortices, and synchronous activity in a rat model of epilepsy. An in-depth comparison of the signal-to-noise ratio of graphene SGFETs with that of platinum black electrodes confirms that graphene SGFET technology is approaching the performance of state-of-the art neural technologies.

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