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Here, the study presents an adhesive hydrogel\u2010integrated micro\u2010electrocorticography (aGel\u2010\u00b5ECoG) array that improves mechanical compatibility and adhesion to brain tissue, effectively mitigating tissue responses and enabling stable, high\u2010performance electrical communication over days to months. The hydrogel consists of a hydrophilic polyvinyl alcohol and hydrophobic poly3\u2010(trimethoxysilyl) propyl methacrylate heteronetwork, serving as a biological and mechanical bridging to enable seamless, anti\u2010fibrotic, long\u2010term integration with brain tissue. The aGel\u2010\u00b5ECoG achieves robust tissue adhesion (25.2 \u00b1 3.8\u00a0kPa) with reversible and safe removal, enabling sutureless implantation. With an ultrathin 10\u2010\u00b5m ionic conductive hydrogel coating, the array exhibits high electrical fidelity, effectively preserving fine\u2010grained sub\u2010millimeter spatial resolution and maintaining unattenuated signal strength for functional cortical mapping. Compared to conventional \u00b5ECoG arrays, aGel\u2010\u00b5ECoG exhibits a 20\u2010fold reduction in acute\u2010phase impedance increases, attributed to significantly reduced neuroinflammation and fibrotic tissue formation, as confirmed by histological analyses. Long\u2010term recordings further reveal that aGel\u2010\u00b5ECoG maintained 94.8% of the signal\u2010to\u2010noise ratio for steady\u2010state visually evoked potentials over 16 weeks, whereas uncoated \u00b5ECoG arrays declined to 69.5%. These findings establish aGel\u2010\u00b5ECoG as a durable and high\u2010performance neural interface.<\/jats:p>","DOI":"10.1002\/advs.202515453","type":"journal-article","created":{"date-parts":[[2025,10,8]],"date-time":"2025-10-08T21:14:46Z","timestamp":1759958086000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Long\u2010Term Stable Subdural Recordings Enabled by Fibrosis\u2010Resistant Hydrogel\u2010Integrated \u00b5ECoG Arrays"],"prefix":"10.1002","volume":"12","author":[{"given":"Lin","family":"Chen","sequence":"first","affiliation":[{"name":"Beijing Institute for Brain Research Chinese Academy of Medical Sciences &amp; Peking Union Medical College  Beijing 102206 China"},{"name":"Chinese Institute for Brain Research  Beijing 102206 China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hao","family":"Zhong","sequence":"additional","affiliation":[{"name":"Beijing Institute for Brain Research Chinese Academy of Medical Sciences &amp; 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