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REVIEW article

Front. Bioeng. Biotechnol.
Sec. Biosensors and Biomolecular Electronics
Volume 12 - 2024 | doi: 10.3389/fbioe.2024.1476447

Advanced Neuroprosthetic Electrode Design Optimized by Electromagnetic Finite Element Simulation: Innovations and Applications

Provisionally accepted
Shu Yang Shu Yang 1,2,3,4Siyi Yang Siyi Yang 1,3,4,5Peixuan Li Peixuan Li 1,3,4,5Shuchun Gou Shuchun Gou 1,3,4,5Yuhang Cheng Yuhang Cheng 1,3,4,5Qinggang Jia Qinggang Jia 6Zhanhong Du Zhanhong Du 1,3,4,5*
  • 1 The Brain Cognition and Brain Disease Institute (BCBDI), Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, CAS Key Laboratory of Brain Connectome and Manipulation, Shenzhen-Hong Kong Institute of Brain Science, Shenzhen Institutes of Advanced Technology, Shenzhen, China
  • 2 Facaulty of Life and Health Sciences, Shenzhen University of Advanced Technology, Shenzhen, China
  • 3 Shenzhen Fundamental Research Institutions, Shenzhen 518055, China
  • 4 University of Chinese Academy of Sciences, Beijing, Beijing, China
  • 5 Shenzhen University of Advanced Technology, Shenzhen, China
  • 6 Institute of Applied Physics and Computational Mathematics (IAPCM), Beijing, Beijing Municipality, China

The final, formatted version of the article will be published soon.

    Based on electrophysiological activity, neuroprostheses can effectively monitor and control neural activity. Currently, electrophysiological neuroprostheses are widely utilized in treating neurological disorders, particularly in restoring motor, visual, auditory, and somatosensory functions after nervous system injuries. They also help alleviate inflammation, regulate blood pressure, provide analgesia, and treat conditions such as epilepsy and Alzheimer's disease, offering significant research, economic, and social value. Enhancing the targeting capabilities of neuroprostheses remains a key objective for researchers. Modeling and simulation techniques facilitate the theoretical analysis of interactions between neuroprostheses and the nervous system, allowing for quantitative assessments of targeting efficiency. Throughout the development of neuroprostheses, these modeling and simulation methods can save time, materials, and labor costs, thereby accelerating the rapid development of highly targeted neuroprostheses.This article introduces the fundamental principles of neuroprosthesis simulation technology and reviews how various simulation techniques assist in the design and performance enhancement of neuroprostheses. Finally, it discusses the limitations of modeling and simulation and outlines future directions for utilizing these approaches to guide neuroprosthesis design.

    Keywords: neuroprosthesis1, neural electrode2, finite element model3, neuron simulation4, neuroprosthesis simulation5

    Received: 05 Aug 2024; Accepted: 21 Oct 2024.

    Copyright: © 2024 Yang, Yang, Li, Gou, Cheng, Jia and Du. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Zhanhong Du, The Brain Cognition and Brain Disease Institute (BCBDI), Guangdong Provincial Key Laboratory of Brain Connectome and Behavior, CAS Key Laboratory of Brain Connectome and Manipulation, Shenzhen-Hong Kong Institute of Brain Science, Shenzhen Institutes of Advanced Technology, Shenzhen, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.