4.7 Article

Experimental and numerical methods to ensure comprehensible and replicable alternating current electrical stimulation experiments

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BIOELECTROCHEMISTRY
卷 151, 期 -, 页码 -

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ELSEVIER SCIENCE SA
DOI: 10.1016/j.bioelechem.2023.108395

关键词

Electrical stimulation; Computational modelling; Computational electromagnetics; Electrochemical impedance spectroscopy; Regenerative medicine; Replicability

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Electrical stimulation in regenerative medicine has gained attention, but clinical translation is hindered by limited documentation and monitoring. This work presents experimental and numerical methods to determine crucial quantities of electrical stimulation, contributing to the understanding of biological response and developing a reliable dose-response curve. A direct contact electrical stimulation experiment is used as an example, addressing electrochemical effects and providing clear guidelines for replicability.
Electrical stimulation has received increasing attention for decades for its application in regenerative medicine. Applications range from bone growth stimulation over cartilage regeneration to deep brain stimulation. Despite all research efforts, translation into clinical use has not yet been achieved in all fields. Recent critical assessments have identified limited documentation and monitoring of preclinical in vitro and in vivo experiments as possible reasons hampering clinical translation. In this work, we present experimental and numerical methods to determine the crucial quantities of electrical stimulation such as the electric field or current density. Knowing the stimulation quantities contributes to comprehending the biological response to electrical stimulation and to finally developing a reliable dose-response curve. To demonstrate the methods, we consider a direct contact electrical stimulation experiment that stands representative for a broad class of stimulation experiments. Electrochemical effects are addressed and methods to integrate them into numerical simulations are evaluated. A focus is laid on affordable lab equipment and reproducible open-source software solutions. Finally, clear guidelines to ensure replicability of electrical stimulation experiments are formulated.

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