4.6 Article

Dimensional scaling of thin-film stimulation electrode systems in translational research

期刊

JOURNAL OF NEURAL ENGINEERING
卷 18, 期 4, 页码 -

出版社

IOP PUBLISHING LTD
DOI: 10.1088/1741-2552/abf607

关键词

electrode scalability; electrical stimulation; electrochemical impedance; neural stimulation; scaling laws

资金

  1. Bertarelli Foundation
  2. Wyss Center for Bio- and Neuroengineering [WCP008]
  3. Swiss National Foundation (Sinergia grant) [CRSII5_183519]
  4. Swiss National Science Foundation (SNF) [CRSII5_183519] Funding Source: Swiss National Science Foundation (SNF)

向作者/读者索取更多资源

The research explores new electrode system technologies and stimulation protocols to improve electrode performance and confirm therapeutic efficacy. The study finds a hard, intrinsic upward scalability limit to the electrode radius depending largely on conductor technology. A simple analytical formula predicting the maximum size of a stimulation electrode as a function of stimulation parameters and conductor resistance is provided.
Objective. Electrical stimulation of biological tissue is an established technique in research and clinical practice that uses implanted electrodes to deliver electrical pulses for a variety of therapies. Significant research currently explores new electrode system technologies and stimulation protocols in preclinical models, aiming at both improving the electrode performance and confirming therapeutic efficacy. Assessing the scalability of newly proposed electrode technology and their use for tissue stimulation remains, however, an open question. Approach. We propose a simplified electrical model that formalizes the dimensional scaling of stimulation electrode systems. We use established equations describing the electrode impedance, and apply them to the case of stimulation electrodes driven by a voltage-capped pulse generator. Main results. We find a hard, intrinsic upward scalability limit to the electrode radius that largely depends on the conductor technology. We finally provide a simple analytical formula predicting the maximum size of a stimulation electrode as a function of the stimulation parameters and conductor resistance. Significance. Our results highlight the importance of careful geometrical and electrical designs of electrode systems based on novel thin-film technologies and that become particularly relevant for their translational implementation with electrode geometries approaching clinical human size electrodes and interfacing with voltage-capped neurostimulation systems.

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