Neural Microelectrodes for Brain–Computer Interfaces

A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "B:Biology and Biomedicine".

Deadline for manuscript submissions: 31 August 2026 | Viewed by 586

Special Issue Editors


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Guest Editor
Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China
Interests: in vitro neural microelectrode array; multichannel multichannel neural electrophysiological and chemical signals detection; microsystems microsystems and nanotechnology
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
Interests: neural microelectrode array with nanotechnology in vivo; electronic engineering; biomedical engineering; biosystems engineering

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Guest Editor
Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China
Interests: electrophysiological / neurotransmitter chemical microelectrode array with nanotechnology; neuron pattern recognition and intelligent algorithm; brain scientific instruments for high-throughput neuron information detection and multilevel control; acupoint neural information detection and stimulation therapy

Special Issue Information

Dear Colleagues,

Neural microelectrodes are indispensable core components for brain–computer interfaces (BCIs) and fundamental neuroscience, acting as the critical bridge between neural tissues and external devices to enable high-fidelity signal acquisition and precise neural modulation. Traditional lithography-based technologies lay the foundation for microelectrode fabrication, while recent decades have seen the emergence of innovative precision platforms (e.g., flexible electronics, 3D self-deployable structures, interventional devices) that are increasingly integrated to leverage complementary strengths. Notable advances include advanced materials (MXene, conductive polymers), anti-inflammatory modifications, minimally invasive implantation, and high-throughput detection, though challenges such as electrode–tissue compatibility and long-term stability persist. These innovations unlock promising applications in motor function restoration, brain disease diagnosis/treatment, and neural circuit decoding. This Special Issue invites original research, short communications, and reviews focusing on novel methodological developments in neural microelectrode materials, micro/nanofabrication, neural signal detection and modulation, neural encoding/decoding algorithms, and preclinical/clinical translational applications.

Dr. Jinping Luo
Dr. Yilin Song
Prof. Dr. Xinxia Cai
Guest Editors

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Keywords

  • neural microelectrodes
  • brain–computer interface
  • materials and micro/nanofabrication
  • neural signal processing
  • translational applications

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Published Papers (1 paper)

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Research

21 pages, 6629 KB  
Article
A Comb-Shaped Flexible Microelectrode Array for Simultaneous Multi-Scale Cortical Recording
by Suyi Zhang, Jin Shan, Shiya Lv, Yu Liu, Jian Miao, Ziyu Liu, Ezhu Ning, Zhaojie Xu, Juntao Liu, Mixia Wang, Hongyan Jin, Xinxia Cai and Yilin Song
Micromachines 2026, 17(3), 301; https://doi.org/10.3390/mi17030301 - 28 Feb 2026
Viewed by 395
Abstract
High-resolution, multi-modal neural interfaces are essential for advancing systems neuroscience and brain–computer interface technologies. This study designed and fabricated a 128-channel comb-shaped flexible micro-electrode array. The device integrates a biocompatible Parylene substrate with a flexible thin-film microprobe array, enabling simultaneous recording of electrocorticography [...] Read more.
High-resolution, multi-modal neural interfaces are essential for advancing systems neuroscience and brain–computer interface technologies. This study designed and fabricated a 128-channel comb-shaped flexible micro-electrode array. The device integrates a biocompatible Parylene substrate with a flexible thin-film microprobe array, enabling simultaneous recording of electrocorticography (ECoG), intracortical local field potentials (LFP), and neuronal action potentials (spikes) from the cortical surface and superficial layers. Microelectrode sites were modified with platinum black nanoparticles, significantly reducing impedance. In vivo experiments in rats demonstrated the array’s ability to capture high-fidelity signals across different recording depths. Key findings included the acquisition of opposing LFP trends and polarity reversals between adjacent channels, reflecting local microcircuit dynamics. The array also reliably recorded neural activity during audiovisual cross-modal sensory stimulation. These results validate the device as an effective tool for multi-scale electrophysiology, successfully balancing high spatial resolution and signal quality with minimal tissue invasiveness, thereby offering significant potential for fundamental research and neural engineering applications. Full article
(This article belongs to the Special Issue Neural Microelectrodes for Brain–Computer Interfaces)
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