ArticleProceedings of the National Academy of Sciences of the United States of America2026
An exceptionally conductive hydrogel for all-organic, ultraflexible, and chronic neural interfaces.
Ruiqi Zhu, Zhengwei Hu, Zirui Lou, Fei Xie, Shuainan Zhao, Xuechen Jiao, Jianyu Wang, Kenjiro Fukuda, Xiaodong Chen, Wenping Hu and 4 more
Abstract read
In one paragraphArticle in Proceedings of the National Academy of Sciences of the United States of America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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5 · Who and what moneyAuthors and funding
14 authors.
Ruiqi ZhuInstitute of Materials Research, Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.
Zhengwei HuChinese Academy of Sciences Key Laboratory of Brain Connectome and Manipulation, the Brain Cognition and Brain disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen 518055, China.ORCID 0009-0003-8465-0480 Zirui LouInstitute of Materials Research, Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.ORCID 0000-0002-5299-9771 Fei XieNational Synchrotron Radiation Laboratory, University of Science and Technology of China, Hefei 230029, China.ORCID 0000-0003-4941-2762 Shuainan ZhaoChinese Academy of Sciences Key Laboratory of Brain Connectome and Manipulation, Shenzhen-Hong Kong Institute of Brain Science, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Xuechen JiaoNational Synchrotron Radiation Laboratory, University of Science and Technology of China, Hefei 230029, China.
Jianyu WangInstitute of Materials Research, Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.
Xiaodong ChenInnovative Center for Flexible Devices, Max Planck-Nanyang Technological University Joint Laboratory for Artificial Senses, School of Materials Science and Engineering, Nanyang Technological University, Singapore 639798, Singapore.
Wenping HuKey Laboratory of Organic Integrated Circuit, Ministry of Education & Tianjin Key Laboratory of Molecular Optoelectronic Sciences, Department of Chemistry, Institute of Molecular Aggregation Science, Tianjin University, Tianjin 300072, China.ORCID 0000-0001-5686-2740 Hui-Ming ChengShenzhen Key Laboratory of Energy Materials for Carbon Neutrality, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenyang 518055, China.ORCID 0000-0002-5387-4241 Xiaojian LiChinese Academy of Sciences Key Laboratory of Brain Connectome and Manipulation, the Brain Cognition and Brain disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions, Shenzhen 518055, China.
Xiaomin XuInstitute of Materials Research, Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.ORCID 0000-0002-9903-3798 Funding
Anhui Provincial Natural Science Foundation 2308085MA19GDSTC | Guangdong Provincial Introduction of Innovative Research and Development Team (Guangdong Innovative Research Team Program) 2021ZT09L197JST, CREST JPMJCR21P2Ministry of Science and Technology of the People's Republic of China (MOST) 2023YFE0101400National Natural Science Foundation of China 52273249| Natural Science Foundation of Shenzhen Municipality (Shenzhen Natural Science Foundation) KQTD20210811090112002
6 · The paper itselfAbstract
Chronic neural interfaces are essential for advancing brain-computer interfaces, neuroprosthetics, and neuromodulation technologies. However, a long-standing trade-off between performance and longevity persists due to the scarcity of materials that simultaneously achieve superior electrical performance, mechanical compliance, and biocompatibility. Here, we overcome this limitation with an all-organic, ultraflexible electrocorticography (ECoG) design that features a thickness of only 9 µm, achieving low electrode-tissue impedance and durability in vivo. Central to this design is a conductive hydrogel featuring an interfacial percolation (CHIP) microstructure, with tunable hydration levels and softness, achieving a highest in-plane electrical conductivity of 2,512 S cm
Indexed as
Brain-Computer InterfacesElectrocorticographyHydrogelsAnimalsElectric ConductivityHydrogelsconductive hydrogelflexible bioelectronicsneural interface
Identifiers
PMID42048458
PMCPMC13142910
What OpenQuestion holds
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LicenceCC BY-NC-ND
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