When Bio Meets Technology: Biohybrid Neural Interfaces

Amy E. Rochford, Alejandro Carnicer-Lombarte, Vincenzo F. Curto, George G. Malliaras, Damiano G. Barone

Research output: Contribution to journalArticlepeer-review

62 Scopus citations


The development of electronics capable of interfacing with the nervous system is a rapidly advancing field with applications in basic science and clinical translation. Devices containing arrays of electrodes can be used in the study of cells grown in culture or can be implanted into damaged or dysfunctional tissue to restore normal function. While devices are typically designed and used exclusively for one of these two purposes, there have been increasing efforts in developing implantable electrode arrays capable of housing cultured cells, referred to as biohybrid implants. Once implanted, the cells within these implants integrate into the tissue, serving as a mediator of the electrode–tissue interface. This biological component offers unique advantages to these implant designs, providing better tissue integration and potentially long-term stability. Herein, an overview of current research into biohybrid devices, as well as the historical background that led to their development are provided, based on the host anatomical location for which they are designed (CNS, PNS, or special senses). Finally, a summary of the key challenges of this technology and potential future research directions are presented.
Original languageEnglish (US)
Pages (from-to)1903182
JournalAdvanced Materials
Issue number15
StatePublished - Sep 13 2019
Externally publishedYes

Bibliographical note

KAUST Repository Item: Exported on 2022-06-10
Acknowledged KAUST grant number(s): OSR-2016-CRG5-3003
Acknowledgements: The authors acknowledge funding from Engineering and Physical Sciences Research Council (EPSRC) (EP/S009000/1 and DTP program), European Union's Horizon 2020 Research and Innovation Programme under grant agreement No. 732032 (BrainCom) (G.G.M.) and from the King Abdullah University of Science and Technology (KAUST) Office of sponsored Research (OSR) under award No. OSR-2016-CRG5-3003.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.


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