journal article·2026-06Open access

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

Marzia Momin, Luyi Feng, Xiaoai Chen, Salahuddin Ahmed, Basma AlMahmood, Li‐Pang Huang, Jiashu Ren, Xinyi Wang, Hyunjin Lee, Samuel R. Cramer, Nanyin Zhang, Sulin Zhang, Tao Zhou

Advanced Materials· Volume 38· Issue 31

Abstract

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.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Neuroscience and Neural Engineering · Neurological disorders and treatments · 3D Printing in Biomedical Research

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

Affiliations

Department of Engineering Science and Mechanics The Pennsylvania State University University Park Pennsylvania USA

Department of Biomedical Engineering The Pennsylvania State University University Park Pennsylvania USA

Department of Physics The Pennsylvania State University University Park Pennsylvania USA

Department of Biology The Pennsylvania State University University Park Pennsylvania USA

Department of Mechanical Engineering The Pennsylvania State University University Park Pennsylvania USA

Center For Neural Engineering The Pennsylvania State University University Park Pennsylvania USA

Huck Institutes of the Life Sciences The Pennsylvania State University University Park Pennsylvania USA

The Neuroscience Graduate Program The Pennsylvania State University University Park Pennsylvania USA

Department of Materials Science and Engineering The Pennsylvania State University University Park Pennsylvania USA

Materials Research Institute The Pennsylvania State University University Park Pennsylvania USA

Funding

National Institutes of Health · National Science Foundation

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