journal article·2025-08Open access

Robust Neural Interfaces Enabled by Non‐Deformable Adhesive Hydrogel Patch for Stable Chronic ECoG Recording

Wenlong Li, Xing Li, Ming Yang, Wenliang Liu, Renyuan Sun, Yuyi Peng, Jinkun Wang, Zhengwei Hu, Ke Fang, Bing Liu, Xiaojian Li, Zhiqiang Luo

Advanced Functional Materials· Volume 35· Issue 33

Abstract

Abstract Micro‐electrocorticography (micro‐ECoG) with superior temporal and spatial resolution plays a critical role in precise brain mapping and decoding of brain activities. However, due to inevitable device‐brain displacement in cerebrospinal fluid, the weak physical attachment of micro‐ECoG devices on the cortical arachnoid tissue cannot ensure a stable neural interface to achieve durable and reliable ECoG recording over time. Herein, a robust neural interface is explored using a bio‐adhesive hydrogel patch for stable chronic ECoG recording. To overcome the challenges in dimensional instability of hydrogels, such as swelling and shrinkage, which would impede the safe integration of micro‐ECoG devices on fragile cortical surface, a non‐deformable hydrogel patch is developed through rational design with balanced molecular chain topology to resist dimensional changes. The multifunctional non‐deformable hydrogel demonstrates desired merits including rapid wet‐tissue adhesion (within 30 s), anti‐postoperative adhesion, excellent biocompatibility, ease of surgical handling, and scalability for large‐scale production. Compared to conventional swelling or contractile hydrogels, the non‐deformable hydrogel patch on a cortical surface can effectively inhibit fibrous capsule formation and glial cell recruitment. Furthermore, long‐term recordings from micro‐ECoG devices integrated with non‐deformable hydrogel patches demonstrate excellent stability and high‐fidelity electrophysiological signals, making it a promising advancement for chronic, durable, and reliable neural interface applications.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Neuroscience and Neural Engineering · Advanced Sensor and Energy Harvesting Materials · Muscle activation and electromyography studies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

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

Shenzhen‐Hong Kong Institute of Brain Science‐Shenzhen Fundamental Research Institutions Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 China

Laboratory of Brain Atlas and Brain‐inspired Intelligence Institute of Automation Chinese Academy of Sciences Beijing 100190 China

Funding

National Natural Science Foundation of China · National Key Research and Development Program of China

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