Evidence map›Paper›PMID 33077918›Full record

ReviewNature protocols2020

Tutorial: guidelines for standardized performance tests for electrodes intended for neural interfaces and bioelectronics.

Christian Boehler, Stefano Carli, Luciano Fadiga, Thomas Stieglitz, Maria Asplund

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature protocols, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 129 papers.

0numbers the graph read from it
0cells of the map it votes in
129citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

129 citing papers in PubMed.

  1. Wafer-Scale Dendritic Nanoporous Platinum Films for Neural Electrodes.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. Towards maximizing optical access through Smart Dura.Journal of neural engineering · 2026
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  10. Size Scaling of the Electrochemical Performance of TiSmall (Weinheim an der Bergstrasse, Germany) · 2026
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  18. Size Scaling of the Electrochemical Performance of TibioRxiv : the preprint server for biology · 2026
    Article
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  20. Article

69 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Christian BoehlerDepartment of Microsystems Engineering (IMTEK), University of Freiburg, Freiburg, Germany.ORCID http://orcid.org/0000-0002-7961-7411
Stefano CarliCenter for Translational Neurophysiology of Speech and Communication, Istituto Italiano di Tecnologia, Ferrara, Italy.
Luciano FadigaCenter for Translational Neurophysiology of Speech and Communication, Istituto Italiano di Tecnologia, Ferrara, Italy.
Thomas StieglitzDepartment of Microsystems Engineering (IMTEK), University of Freiburg, Freiburg, Germany.ORCID http://orcid.org/0000-0002-7349-4254
Maria AsplundDepartment of Microsystems Engineering (IMTEK), University of Freiburg, Freiburg, Germany. maria.asplund@imtek.uni-freiburg.de.ORCID http://orcid.org/0000-0001-8779-7478

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) DFG 1086Deutsche Forschungsgemeinschaft (German Research Foundation) EXC 1086EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 759655
6 · The paper itself

Abstract

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.

Indexed as

Electrodes, ImplantedAnimalsBrainDielectric SpectroscopyElectric StimulationElectrochemical TechniquesElectronicsEquipment DesignHumansMicroelectrodes

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.