Department of Microsystems Engineering (IMTEK), University of Freiburg, Freiburg, Germany.
BrainLinks-BrainTools Center, University of Freiburg, Freiburg, Germany.
Nat Protoc. 2020 Nov;15(11):3557-3578. doi: 10.1038/s41596-020-0389-2. Epub 2020 Oct 19.
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.
植入式神经接口为神经科学家研究大脑提供了更多的可能性。它们在多种生物电子疗法中也具有广阔的应用前景。电极技术在这些发展中起着核心作用,因为电极表面构成了技术与生物靶标之间的物理接口。尽管如此,对于电极应该如何进行最佳评估以及如何根据其在记录和刺激方面的效率进行比较,目前还没有达成共识。如果没有广泛接受的性能测试,就很难对文献中提供的众多电极材料建议进行排名,也很难确定在哪里集中精力以最有效地推进该领域的发展。本教程批判性地讨论了用于描述神经接口电极性能的最相关的性能测试,并解释了它们的实现、解释和各自的局限性。我们提出了一个统一的标准,以促进电极性能报告的透明化,推动高效的科学进程,并最终加速其向临床实践的转化。