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<p>Non-invasive collection of weak electroneurographic signals is crucial for cognitive neuroscience. However, animal scalps are often covered by dense hair, which presents a substantial barrier in the scalp-electrode interface for accurate electrophysiological acquisition. Although scalp hair removal is common practice in clinical settings, it has detrimental effects on the test subjects and is infeasible in many non-clinical scenarios. Here we report a hair-adaptable and adhesion-tunable (HAAT) scalp-electrode interface that can accurately acquire electroneurographic signals from hairy skins of animal and human. By synthetically integrating dynamic covalent bonds and ionic conduction channels in the copolymer poly(sodium thioctate-<i>co</i>-sulfobetaine methacrylate), we implement the key functionalities of the HAAT interface including penetration of dense hair layers, strong conformal skin-electrode adhesion, on-demand painless detachment, and sensitive neuroelectric coupling. We achieve stable and precise electroneurographic signals acquisition from human, monkey and mouse’s scalps with various hair densities. The accurate event-related potential monitored during monkey vision-attention tasks facilitates the study of monkey brain activity. These results demonstrate the HAAT interface as an outstanding platform for conducting non-invasive research on animal cognition.</p>

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Conformal and adhesive gel for stable electrophysiology on hairy animals without shaving

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年3月7日

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  • Leyi Yang,
  • Miaoxi Chen,
  • Jiongyang Qi,
  • Wenya Hu,
  • Shiyu Wang,
  • Yujie Wu,
  • Dekui Song,
  • Dajun Xing,
  • Nan Liu

摘要

Non-invasive collection of weak electroneurographic signals is crucial for cognitive neuroscience. However, animal scalps are often covered by dense hair, which presents a substantial barrier in the scalp-electrode interface for accurate electrophysiological acquisition. Although scalp hair removal is common practice in clinical settings, it has detrimental effects on the test subjects and is infeasible in many non-clinical scenarios. Here we report a hair-adaptable and adhesion-tunable (HAAT) scalp-electrode interface that can accurately acquire electroneurographic signals from hairy skins of animal and human. By synthetically integrating dynamic covalent bonds and ionic conduction channels in the copolymer poly(sodium thioctate-co-sulfobetaine methacrylate), we implement the key functionalities of the HAAT interface including penetration of dense hair layers, strong conformal skin-electrode adhesion, on-demand painless detachment, and sensitive neuroelectric coupling. We achieve stable and precise electroneurographic signals acquisition from human, monkey and mouse’s scalps with various hair densities. The accurate event-related potential monitored during monkey vision-attention tasks facilitates the study of monkey brain activity. These results demonstrate the HAAT interface as an outstanding platform for conducting non-invasive research on animal cognition.