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Multifunctional Hydrogel Materials for Advanced Neural Interfaces.
Small Methods. 2025 Sep; 9(9):e01134.SM

Abstract

Conventional rigid neural electrodes mismatch the soft, wet nature of neural tissue, hindering long-term stable interfaces. Multifunctional hydrogels, with their tissue-like compliance, ionic conductivity, and biocompatibility, offer a promising solution to bridge bioelectronic systems and neural tissues. This review systematically examines critical hydrogel properties-mechanical compliance, adhesion, biocompatibility, conductivity, and injectability-for neural interfacing. It summarizes recent advances in hydrogel-based technologies, including hydrogel coatings, conductive hydrogel electrodes, and integrated hydrogel electronics. Future challenges involve balancing biodegradation with long-term stability, developing advanced fabrication strategies, and ensuring chronic performance stability. Key future directions include optimizing hydrogel properties for chronic applications, creating smart-responsive hydrogels, integrating artificial intelligence, and advancing wireless systems. Leveraging materials science, bioengineering, and nanotechnology, hydrogel-based neural interfaces are poised to unlock unprecedented capabilities in brain-computer interfaces, neural prosthetics, neuromodulation, and regenerative therapies, heralding a paradigm shift in neurotechnology.

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Publisher Full Text (DOI)

Authors+Show Affiliations

Ma C
National Engineering Research Center for Nanomedicine, Research Center for Intelligent Fiber Devices and Equipment, State Key Laboratory of New Textile Materials and Advanced Processing, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.
Li W
National Engineering Research Center for Nanomedicine, Research Center for Intelligent Fiber Devices and Equipment, State Key Laboratory of New Textile Materials and Advanced Processing, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.
Gao C
National Engineering Research Center for Nanomedicine, Research Center for Intelligent Fiber Devices and Equipment, State Key Laboratory of New Textile Materials and Advanced Processing, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.
Li X
National Engineering Research Center for Nanomedicine, Research Center for Intelligent Fiber Devices and Equipment, State Key Laboratory of New Textile Materials and Advanced Processing, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.
She J
National Engineering Research Center for Nanomedicine, Research Center for Intelligent Fiber Devices and Equipment, State Key Laboratory of New Textile Materials and Advanced Processing, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.
Zou Z
National Engineering Research Center for Nanomedicine, Research Center for Intelligent Fiber Devices and Equipment, State Key Laboratory of New Textile Materials and Advanced Processing, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.
Zhang D
National Engineering Research Center for Nanomedicine, Research Center for Intelligent Fiber Devices and Equipment, State Key Laboratory of New Textile Materials and Advanced Processing, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.
Jin Y
College of Materials Science and Engineering, State Key Laboratory of New Textile Materials and Advanced Processing, Wuhan Textile University, Wuhan, 430200, China.
Xu C
College of Materials Science and Engineering, State Key Laboratory of New Textile Materials and Advanced Processing, Wuhan Textile University, Wuhan, 430200, China.
Liu B
Laboratory of Brain Atlas and Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Luo Z
National Engineering Research Center for Nanomedicine, Research Center for Intelligent Fiber Devices and Equipment, State Key Laboratory of New Textile Materials and Advanced Processing, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.

MeSH

HydrogelsHumansBrain-Computer InterfacesBiocompatible MaterialsAnimalsNanotechnology

Pub Type(s)

Journal Article
Review

Language

eng

PubMed ID

40832808

Citation

Ma, Chong, et al. "Multifunctional Hydrogel Materials for Advanced Neural Interfaces." Small Methods, vol. 9, no. 9, 2025, pp. e01134.
Ma C, Li W, Gao C, et al. Multifunctional Hydrogel Materials for Advanced Neural Interfaces. Small Methods. 2025;9(9):e01134.
Ma, C., Li, W., Gao, C., Li, X., She, J., Zou, Z., Zhang, D., Jin, Y., Xu, C., Liu, B., & Luo, Z. (2025). Multifunctional Hydrogel Materials for Advanced Neural Interfaces. Small Methods, 9(9), e01134. https://doi.org/10.1002/smtd.202501134
Ma C, et al. Multifunctional Hydrogel Materials for Advanced Neural Interfaces. Small Methods. 2025;9(9):e01134. PubMed PMID: 40832808.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Multifunctional Hydrogel Materials for Advanced Neural Interfaces. AU - Ma,Chong, AU - Li,Wenlong, AU - Gao,Chuan, AU - Li,Xing, AU - She,Jiahui, AU - Zou,Zhonghao, AU - Zhang,Dingke, AU - Jin,Yunjie, AU - Xu,Chao, AU - Liu,Bing, AU - Luo,Zhiqiang, Y1 - 2025/08/20/ PY - 2025/7/19/revised PY - 2025/6/10/received PY - 2025/9/26/medline PY - 2025/8/20/pubmed PY - 2025/8/20/entrez KW - biocompatibility KW - conductivity KW - hydrogel materials KW - neural interfaces KW - neural tissue engineering SP - e01134 EP - e01134 JF - Small methods JO - Small Methods VL - 9 IS - 9 N2 - Conventional rigid neural electrodes mismatch the soft, wet nature of neural tissue, hindering long-term stable interfaces. Multifunctional hydrogels, with their tissue-like compliance, ionic conductivity, and biocompatibility, offer a promising solution to bridge bioelectronic systems and neural tissues. This review systematically examines critical hydrogel properties-mechanical compliance, adhesion, biocompatibility, conductivity, and injectability-for neural interfacing. It summarizes recent advances in hydrogel-based technologies, including hydrogel coatings, conductive hydrogel electrodes, and integrated hydrogel electronics. Future challenges involve balancing biodegradation with long-term stability, developing advanced fabrication strategies, and ensuring chronic performance stability. Key future directions include optimizing hydrogel properties for chronic applications, creating smart-responsive hydrogels, integrating artificial intelligence, and advancing wireless systems. Leveraging materials science, bioengineering, and nanotechnology, hydrogel-based neural interfaces are poised to unlock unprecedented capabilities in brain-computer interfaces, neural prosthetics, neuromodulation, and regenerative therapies, heralding a paradigm shift in neurotechnology. SN - 2366-9608 UR - https://www.unboundmedicine.com/medline/citation/40832808/Multifunctional_Hydrogel_Materials_for_Advanced_Neural_Interfaces DB - PRIME DP - Unbound Medicine ER -
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