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March 16, 2026Advanced Materials4 citationsOpen Access

3D‐Printable, Honeycomb‐Inspired Tissue‐Like Bioelectrodes for Patient‐Specific Neural Interface

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MMMarzia MominLFLuyi FengXCXiaoai Chen

Key Points

  • This research aims to develop a customizable neural interface that adheres to individual brain structures and optimizes neuromodulation efficacy.
  • Utilized MRI-based anatomical mapping for patient-specific design.
  • Employed finite element analysis to optimize mechanical properties.
  • Fabricated electrodes using direct ink writing 3D printing technology.
  • Achieved excellent cortical conformability with new honeycomb-inspired gel electrodes.
  • Demonstrated matching bending stiffness to brain tissue (0.1-10 kPa).
  • Improved biocompatibility and performance in neuromodulation therapies.

Abstract

The unique gyral patterns of the human brain demand patient-specific neural interfaces to achieve precise neuromodulation, mitigate adverse tissue responses, and optimize therapeutic efficacy and safety. One-size-fits-all, conventional rigid electrocorticography (ECoG) electrodes, standardized for mass production through lithographic techniques, exhibit limited conformability to the brain's heterogeneous cortical topography. This mechanical mismatch results in poor electrode-tissue contact, signal loss, and foreign body responses. To address these limitations, we present an integrated novel platform, synergizing MRI-based anatomical mapping, finite element analysis (FEA)-optimized mechanical design, and direct ink writing (DIW) 3D printing to fabricate electrodes customized to individual gyral patterns. The resulting honeycomb-inspired printable gel electrode (HiPGE) employs a bioinspired honeycomb architecture with ultra-soft hydrogels, engineered to match the bending stiffness of brain tissue (0.1-10 kPa) while maintaining cost-efficiency and long-term durability. This mechanical congruence ensures exceptional cortical conformability and adaptive interfacing, circumventing the geometric and material limitations of traditional rigid electrodes. By combining patient-specific design with scalable fabrication, our platform establishes a transformative framework for neural interface engineering, enhancing precision, biocompatibility, and functional performance in neuromodulation therapies and neuroprosthetic applications.

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Cite This Study

Momin et al. (2026) studied this question.

synapsesocial.com/papers/69b79e538166e15b153ab88ahttps://doi.org/10.1002/adma.202516291
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