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

M Marzia Momin (Department of Engineering Science and Mechanics The Pennsylvania State University University Park Pennsylvania USA) L Luyi Feng (Department of Engineering Science and Mechanics The Pennsylvania State University University Park Pennsylvania USA) X Xiaoai Chen (Department of Biomedical Engineering The Pennsylvania State University University Park Pennsylvania USA) S Salahuddin Ahmed B Basma AlMahmood (Department of Physics The Pennsylvania State University University Park Pennsylvania USA) L Li‐Pang Huang (Department of Biology The Pennsylvania State University University Park Pennsylvania USA) J Jiashu Ren (Department of Engineering Science and Mechanics The Pennsylvania State University University Park Pennsylvania USA) X Xinyi Wang H Hyunjin Lee S Samuel R. Cramer N Nanyin Zhang S Sulin Zhang (Drug Discovery and Design Center, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences) T Tao Zhou (College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.)

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.

Article Details

Volume / Issue Vol. 38, Issue 31
Published June 01, 2026
ISSN 0935-9648
Publisher Unknown Publisher

Journal Info

Advanced Materials

Unknown Publisher

ISSN: 0935-9648 Physical Sciences

Authors (13)

M

Marzia Momin

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

L

Luyi Feng

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

X

Xiaoai Chen

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

S

Salahuddin Ahmed

B

Basma AlMahmood

Department of Physics The Pennsylvania State University University Park Pennsylvania USA

L

Li‐Pang Huang

Department of Biology The Pennsylvania State University University Park Pennsylvania USA

J

Jiashu Ren

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

X

Xinyi Wang

H

Hyunjin Lee

S

Samuel R. Cramer

N

Nanyin Zhang

S

Sulin Zhang

Drug Discovery and Design Center, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences

T

Tao Zhou

College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.