Long‐Term Stable Subdural Recordings Enabled by Fibrosis‐Resistant Hydrogel‐Integrated µECoG Arrays

作者：Lin Chen, Hao Zhong, Lei Wang, Liju Xu, Wanying Fan, Yongpeng Zhao, Huiling Zhang, Yang Shen, Kaichun Wu, Xin Fu, Jin Guo, Ke Li, Dong Qiu, Ting Wu · 发表于：Advanced Science · 年份：2025 · DOI：10.1002/advs.202515453 · 被引用次数：4 · 研究领域：Neuroscience and Neural Engineering、EEG and Brain-Computer Interfaces、Advanced Sensor and Energy Harvesting Materials

The long-term performance of microscale subdural arrays is often compromised by adverse tissue responses, leading to increased electrochemical impedance and signal deterioration during chronic applications. Here, the study presents an adhesive hydrogel-integrated micro-electrocorticography (aGel-µECoG) array that improves mechanical compatibility and adhesion to brain tissue, effectively mitigating tissue responses and enabling stable, high-performance electrical communication over days to months. The hydrogel consists of a hydrophilic polyvinyl alcohol and hydrophobic poly3-(trimethoxysilyl) propyl methacrylate heteronetwork, serving as a biological and mechanical bridging to enable seamless, anti-fibrotic, long-term integration with brain tissue. The aGel-µECoG achieves robust tissue adhesion (25.2 ± 3.8 kPa) with reversible and safe removal, enabling sutureless implantation. With an ultrathin 10-µm ionic conductive hydrogel coating, the array exhibits high electrical fidelity, effectively preserving fine-grained sub-millimeter spatial resolution and maintaining unattenuated signal strength for functional cortical mapping. Compared to conventional µECoG arrays, aGel-µECoG exhibits a 20-fold reduction in acute-phase impedance increases, attributed to significantly reduced neuroinflammation and fibrotic tissue formation, as confirmed by histological analyses. Long-term recordings further reveal that aGel-µECoG maintained 94.8% of the signal-to-noise ratio for steady-state vis...