Recent Advances in Implantable Neural Interfaces for Multimodal Electrical Neuromodulation

Author:

Wang Liu1,Liu Shengnan2,Zhao Wentai1,Li Jiakun1,Zeng Haoxuan1,Kang Shaoyang1,Sheng Xing3,Wang Lizhen1,Fan Yubo1,Yin Lan2ORCID

Affiliation:

1. Key Laboratory of Biomechanics and Mechanobiology of Ministry of Education Beijing Advanced Innovation Center for Biomedical Engineering School of Biological Science and Medical Engineering and with the School of Engineering Medicine Beihang University Beijing 100083 P. R. China

2. School of Materials Science and Engineering The Key Laboratory of Advanced Materials of Ministry of Education State Key Laboratory of New Ceramics and Fine Processing Laboratory of Flexible Electronics Technology Tsinghua University Beijing 100084 P. R. China

3. Department of Electronic Engineering Beijing National Research Center for Information Science and Technology Institute for Precision Medicine Laboratory of Flexible Electronics Technology IDG/McGovern Institute for Brain Research Tsinghua University Beijing 100084 China

Abstract

AbstractElectrical neuromodulation plays a pivotal role in enhancing patient outcomes among individuals suffering from neurological disorders. Implantable neural interfaces are vital components of the electrical neuromodulation system to ensure desirable performance; However, conventional devices are limited to a single function and are constructed with bulky and rigid materials, which often leads to mechanical incompatibility with soft tissue and an inability to adapt to the dynamic and complex 3D structures of biological systems. In addition, current implantable neural interfaces utilized in clinical settings primarily rely on wire‐based techniques, which are associated with complications such as increased risk of infection, limited positioning options, and movement restrictions. Here, the state‐of‐art applications of electrical neuromodulation are presented. Material schemes and device structures that can be employed to develop robust and multifunctional neural interfaces, including flexibility, stretchability, biodegradability, self‐healing, self‐rolling, or morphing are discussed. Furthermore, multimodal wireless neuromodulation techniques, including optoelectronics, mechano‐electrics, magnetoelectrics, inductive coupling, and electrochemically based self‐powered devices are reviewed. In the end, future perspectives are given.

Funder

National Natural Science Foundation of China

Beijing Municipal Natural Science Foundation

Fundamental Research Funds for the Central Universities

Beijing Nova Program

Publisher

Wiley

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