Treffer: Advances in flexible high-density microelectrode arrays for brain-computer interfaces.

Title:
Advances in flexible high-density microelectrode arrays for brain-computer interfaces.
Authors:
Ban S; George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA; Wearable Intelligent Systems and Healthcare Center (WISH Center) at the Institute for Matter and Systems, Georgia Institute of Technology, Atlanta, GA, 30332, USA., Chong D; George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA; Wearable Intelligent Systems and Healthcare Center (WISH Center) at the Institute for Matter and Systems, Georgia Institute of Technology, Atlanta, GA, 30332, USA., Kwon J; School of Electrical and Computer Engineering, Cornell University, Ithaca, NY, 14853, USA., Lee S; College of Engineering, Penn State University Park, State College, PA, 16802, USA., Huang Y; Wearable Intelligent Systems and Healthcare Center (WISH Center) at the Institute for Matter and Systems, Georgia Institute of Technology, Atlanta, GA, 30332, USA; School of Industrial Design, Georgia Institute of Technology, Atlanta, GA, 30332, USA., Yoo S; George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA; Wearable Intelligent Systems and Healthcare Center (WISH Center) at the Institute for Matter and Systems, Georgia Institute of Technology, Atlanta, GA, 30332, USA., Yeo WH; George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA; Wearable Intelligent Systems and Healthcare Center (WISH Center) at the Institute for Matter and Systems, Georgia Institute of Technology, Atlanta, GA, 30332, USA; Wallace H. Coulter Department of Biomedical Engineering, Georgia Tech and Emory University School of Medicine, Atlanta, GA, 30332, USA; Parker H. Petit Institute for Bioengineering and Biosciences, Georgia Institute of Technology, Atlanta, GA, 30332, USA; Korea KIAT-Georgia Tech Semiconductor Electronics Center (K-GTSEC) at the Institute for Matter and Systems, Georgia Institute of Technology, Atlanta, GA, 30332, USA. Electronic address: whyeo@gatech.edu.
Source:
Biosensors & bioelectronics [Biosens Bioelectron] 2026 Jan 15; Vol. 292, pp. 118102. Date of Electronic Publication: 2025 Oct 13.
Publication Type:
Journal Article; Review
Language:
English
Journal Info:
Publisher: Elsevier Advanced Technology Country of Publication: England NLM ID: 9001289 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-4235 (Electronic) Linking ISSN: 09565663 NLM ISO Abbreviation: Biosens Bioelectron Subsets: MEDLINE
Imprint Name(s):
Publication: Oxford : Elsevier Advanced Technology
Original Publication: [Barking, Essex, England] : Elsevier Applied Science, 1989-
Contributed Indexing:
Keywords: Bidirectional brain-computer interfaces; Flexible high-density microelectrode arrays; Neural signal acquisition; Neural stimulation; Wearable implantable bioelectronics
Entry Date(s):
Date Created: 20251016 Date Completed: 20251106 Latest Revision: 20251106
Update Code:
20251107
DOI:
10.1016/j.bios.2025.118102
PMID:
41100980
Database:
MEDLINE

Weitere Informationen

Recent advances in flexible high-density microelectrode arrays (FHD-MEA) have revolutionized brain-computer interfaces (BCIs) by providing high spatial resolution, mechanical compliance, and long-term biocompatibility. This technology enables stable neural recording and precise stimulation, addressing the shortcomings of conventional rigid BCI arrays. In this review, we outline the challenges of signal acquisition and stimulation of conventional low-density, rigid BCI systems. These include poor spatial resolution, micro-motor-induced instability, electrochemical degradation, wiring bottlenecks, off-target activation, and charge injection hazards. We then describe how these barriers are addressed through advanced materials, device designs, and system-level integration. We summarize representative applications of clinical therapy for sensory enhancement, human-machine interfaces, and neurological diseases, highlighting translational potential. Collectively, this review article presents recent progress and emerging trends in establishing FHD-MEAs as a crucial foundation for next-generation, clinically viable BCIs.
(Copyright © 2025 The Authors. Published by Elsevier B.V. All rights reserved.)

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.