Web of Science: 5 citations, Scopus: 9 citations, Google Scholar: citations,
Flexible Graphene Solution-Gated Field-Effect Transistors : Efficient Transducers for Micro-Electrocorticography
Hébert, Clement (Institut Català de Nanociència i Nanotecnologia)
Masvidal-Codina, Eduard (Institut Català de Nanociència i Nanotecnologia)
Suarez-Pérez, Alejandro (Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS))
Bonaccini Calia, Andrea (Institut Català de Nanociència i Nanotecnologia)
Piret, Gaelle (INSERM U1205 (Grenoble, França))
Garcia-Cortadella, Ramon (Institut Català de Nanociència i Nanotecnologia)
Illa Vila, Xavier (Institut de Microelectrònica de Barcelona)
Del Corro Garcia, Elena (Institut Català de Nanociència i Nanotecnologia)
De la Cruz Sanchez, José M. (Institut Català de Nanociència i Nanotecnologia)
Viana Casals, Damià (Institut Català de Nanociència i Nanotecnologia)
Prats-Alfonso, Elisabet (Institut de Microelectrònica de Barcelona)
Bousquet, Jessica (Institut Català de Nanociència i Nanotecnologia)
Godignon, Philippe (Institut de Microelectrònica de Barcelona)
Yvert, Blayse (INSERM U1205 (Grenoble, França))
Villa Sanz, Rosa (Institut de Microelectrònica de Barcelona)
Sanchez-Vives, Maria V. (Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS))
Guimerà Brunet, Anton (Institut de Microelectrònica de Barcelona)
Garrido Ariza, José A. (Institut Català de Nanociència i Nanotecnologia)

Date: 2018
Abstract: 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.
Note: Número d'acord de subvenció EC/H2020/696656
Note: Número d'acord de subvenció EC/H2020/665919
Note: Número d'acord de subvenció MINECO/SEV-2013-0295
Note: Número d'acord de subvenció MINECO/BFU/2014-52467-R
Rights: Tots els drets reservats
Language: Anglès.
Document: article ; recerca ; acceptedVersion
Subject: Brain–computer interfaces ; Electrocorticography ; Field-effect transistors ; Graphene ; Neurotechnology
Published in: Advanced Functional Materials, Vol. 28, Núm. 12 (March 2018) , article 1703976, ISSN 1616-301X

DOI: 10.1002/adfm.201703976


Available from: 2019-04-01
Post-print

The record appears in these collections:
Research literature > UAB research groups literature > Research Centres and Groups (scientific output) > Experimental sciences > Catalan Institute of Nanoscience and Nanotechnology (ICN2)
Articles > Research articles
Articles > Published articles

 Record created 2018-04-30, last modified 2019-02-06



   Favorit i Compartir