Enhancement-mode ion-based transistor as a comprehensive interface and real-time processing unit for in vivo electrophysiology

Bioelectronic devices must be fast and sensitive to interact with the rapid, low-amplitude signals generated by neural tissue. They should also be biocompatible and soft, and should exhibit long-term stability in physiologic environments. Here, we develop an enhancement-mode, internal ion-gated orga...

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Veröffentlicht in:Nature materials 2020-06, Vol.19 (6), p.679-686
Hauptverfasser: Cea, Claudia, Spyropoulos, George D., Jastrzebska-Perfect, Patricia, Ferrero, José J., Gelinas, Jennifer N., Khodagholy, Dion
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Sprache:eng
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Zusammenfassung:Bioelectronic devices must be fast and sensitive to interact with the rapid, low-amplitude signals generated by neural tissue. They should also be biocompatible and soft, and should exhibit long-term stability in physiologic environments. Here, we develop an enhancement-mode, internal ion-gated organic electrochemical transistor (e-IGT) based on a reversible redox reaction and hydrated ion reservoirs within the conducting polymer channel, which enable long-term stable operation and shortened ion transit time. E-IGT transient responses depend on hole rather than ion mobility, and combine with high transconductance to result in a gain–bandwidth product that is several orders of magnitude above that of other ion-based transistors. We used these transistors to acquire a wide range of electrophysiological signals, including in vivo recording of neural action potentials, and to create soft, biocompatible, long-term implantable neural processing units for the real-time detection of epileptic discharges. E-IGTs offer a safe, reliable and high-performance building block for chronically implanted bioelectronics, with a spatiotemporal resolution at the scale of individual neurons. Internal ion-gated organic electrochemical transistors operating in enhancement mode are shown to record electrophysiological signals in vivo, with a speed and sensitivity that enable the detection of action potentials from individual neurons.
ISSN:1476-1122
1476-4660
DOI:10.1038/s41563-020-0638-3