期刊
NANO LETTERS
卷 20, 期 5, 页码 3528-3537出版社
AMER CHEMICAL SOC
DOI: 10.1021/acs.nanolett.0c00467
关键词
Multiplexing; graphene; active sensors; bioelectronics; neural sensing
类别
资金
- European Union [732032, 85219, 881603]
- Severo Ochoa Centres of Excellence programme - Spanish Research Agency (AEI) [SEV-2017-0706]
- CERCA Programme/Generalitat de Catalunya
- International Ph.D. Programme La Caixa - Severo Ochoa (Programa Internacional de Becas la Caixa-Severo Ochoa)
- MICINN
- ICTS NANBIOSIS
- Ministerio de Ciencia, Innovacion y Universidades of Spain [FIS2017-85787-R]
- Agencia Estatal de Investigacion (AEI)
- Fondo Europeo de Desarrollo Regional (FEDER/UE)
- Generalitat de Cataluna [2017 SGR 1426]
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.
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