Flexible Graphene Solution‐Gated Field‐Effect Transistors: Efficient Transducers for Micro‐Electrocorticography. (13th November 2017)
- Record Type:
- Journal Article
- Title:
- Flexible Graphene Solution‐Gated Field‐Effect Transistors: Efficient Transducers for Micro‐Electrocorticography. (13th November 2017)
- Main Title:
- Flexible Graphene Solution‐Gated Field‐Effect Transistors: Efficient Transducers for Micro‐Electrocorticography
- Authors:
- Hébert, Clement
Masvidal‐Codina, Eduard
Suarez‐Perez, Alejandro
Calia, Andrea Bonaccini
Piret, Gaelle
Garcia‐Cortadella, Ramon
Illa, Xavi
Del Corro Garcia, Elena
De la Cruz Sanchez, Jose M.
Casals, Damia Viana
Prats‐Alfonso, Elisabet
Bousquet, Jessica
Godignon, Philippe
Yvert, Blaise
Villa, Rosa
Sanchez‐Vives, Maria V.
Guimerà‐Brunet, Anton
Garrido, Jose A. - Abstract:
- 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. Abstract : Flexible graphene solution‐gated field‐effect transistors are proposed as a new advanced technology for neural recordings thanks to the outstanding properties of single‐layer graphene. In this paper, the key concepts of this technology are discussed and its perfect suitability for μ‐ECoG applications is shown by demonstrating the recording ofAbstract: 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. Abstract : Flexible graphene solution‐gated field‐effect transistors are proposed as a new advanced technology for neural recordings thanks to the outstanding properties of single‐layer graphene. In this paper, the key concepts of this technology are discussed and its perfect suitability for μ‐ECoG applications is shown by demonstrating the recording of sensory‐evoked potential as well as synchronous activity. … (more)
- Is Part Of:
- Advanced functional materials. Volume 28:Number 12(2018)
- Journal:
- Advanced functional materials
- Issue:
- Volume 28:Number 12(2018)
- Issue Display:
- Volume 28, Issue 12 (2018)
- Year:
- 2018
- Volume:
- 28
- Issue:
- 12
- Issue Sort Value:
- 2018-0028-0012-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2017-11-13
- Subjects:
- brain–computer interfaces -- electrocorticography -- field‐effect transistors -- graphene -- neurotechnology
Materials -- Periodicals
Chemical vapor deposition -- Periodicals
620.11 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1616-3028 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/adfm.201703976 ↗
- Languages:
- English
- ISSNs:
- 1616-301X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 0696.853900
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 23486.xml