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Tutorial: guidelines for standardized performance tests for electrodes intended for neural interfaces and bioelectronics
Department of Microsystems Engineering (IMTEK), University of Freiburg, Freiburg, Germany; BrainLinks-BrainTools Center, University of Freiburg, Freiburg, Germany.
Center for Translational Neurophysiology of Speech and Communication, Istituto Italiano di Tecnologia, Ferrara, Italy.
Center for Translational Neurophysiology of Speech and Communication, Istituto Italiano di Tecnologia, Ferrara, Italy; Section of Physiology, University of Ferrara, Ferrara, Italy.
Department of Microsystems Engineering (IMTEK), University of Freiburg, Freiburg, Germany; BrainLinks-BrainTools Center, University of Freiburg, Freiburg, Germany.
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2020 (English)In: Nature Protocols, ISSN 1754-2189, E-ISSN 1750-2799, Vol. 15, no 11, p. 3557-3578Article, review/survey (Refereed) Published
Abstract [en]

Implantable neural interfaces advance the possibilities for neuroscientists to study the brain. They are also promising for use in a multitude of bioelectronic therapies. Electrode technology plays a central role in these developments, as the electrode surfaces form the physical interfaces between technology and the biological targets. Despite this, a common understanding of how electrodes should best be evaluated and compared with respect to their efficiency in recording and stimulation is currently lacking. Without broadly accepted performance tests, it is difficult to rank the many suggestions for electrode materials available in the literature, or to identify where efforts should be focused to advance the field most efficiently. This tutorial critically discusses the most relevant performance tests for characterization of neural interface electrodes and explains their implementation, interpretation and respective limitations. We propose a unified standard to facilitate transparent reporting on electrode performance, promote efficient scientific process and ultimately accelerate translation into clinical practice.

Place, publisher, year, edition, pages
Springer Nature, 2020. Vol. 15, no 11, p. 3557-3578
Keywords [en]
Biomedical engineering, Biomedical materials, Electrical and electronic engineering, Electrophysiology, Neuroscience
National Category
Other Medical Engineering
Research subject
Medical Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-81233DOI: 10.1038/s41596-020-0389-2ISI: 000581027300001PubMedID: 33077918Scopus ID: 2-s2.0-85092715873OAI: oai:DiVA.org:ltu-81233DiVA, id: diva2:1479153
Note

Validerad;2020;Nivå 2;2020-11-05 (johcin)

Available from: 2020-10-26 Created: 2020-10-26 Last updated: 2023-10-28Bibliographically approved

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Asplund, Maria

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