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IEEE SENSORS JOURNAL · 2024 · IF 4.3

A Preparation Technology and Performance Testing of a Dry Nanozyme/Ir-TiO2 Electrode System for EEG Signal Acquisition

Penghai Li,Fengzhou Li,Kun Wang

The brain serves as the central hub for both our physiological and psychological activities, and current research on the human brain mostly relies on electroencephalography (EEG) method. Hence, we have developed a flexible nanozymes/iridium-titanium dioxide (SAN/Ir-TiO 2 ) dry electrode for collecting EEG signals. Due to the hygroscopic nature of SAN nanozymes, they facilitate the maintenance of skin moisture balance. Additionally, the combination of iridium nanoparticles with a titanium dioxide nanotube array enables rapid electron transfer, resulting in an average impedance of 14.2 kΩ in the no-hair region and 19.9 kΩ in the hair region for the electrode. Moreover, in experiments involving blinking, clenching teeth, and alpha wave blocking, signal collection correlation between SAN (single atom nanozymes)/Ir-TiO 2 and traditional Ag/AgCl electrodes is 97.1% to 99.5%, and the signal collection correlation between electrodes from the market and traditional Ag/AgCl electrodes is 95.5% to 99.2%. In Steady-State Visual Evoked Potential (SSVEP) experiments with a 9-channel cap, stimulation frequencies ranging from 7.5Hz to 14Hz were recorded and subjected to frequency domain analysis. Within the range of 7.5Hz to 14Hz, the signal-to-noise ratio ranged from 7.5 to 14.1db, surpassing the performance in other regions. In an 8-command SSVEP classification experiment, the train accuracy and online accuracy were as high as 92.8% and 92.8% respectively, demonstrating the feasibility of using SAN/Ir-TiO 2 dry electrodes for Brain-Computer Interface (BCI) technology.

CAS / MDL: 10025-83-9
研究领域: 生物医学工程 · 神经科学
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ADVANCED FUNCTIONAL MATERIALS · 2024 · IF 18.5

Scaled Elastic Hydrogel Interfaces for Brain Electrophysiology

Mengdi Hu,Jing Ren,Yue Pan,Liping Cheng,Xin Xu,Chee Leong Tan,Huabin Sun,Yi Shi,Shancheng Yan

The advancement in brain–computer interface technology has facilitated real-time communication between the brain and external devices, rapidly expanding invasive brain–computer interfaces. Nevertheless, little progress has been made in improving the one-way, noninvasive brain–computer interface technology using conductive methods, necessitating enhancements to the current paste contact electrodes. In this paper, a captivating spherical electrode is fabricated that exhibits noncytotoxic properties, combining alginate hydrogel with indium tin oxide conductor components. The electrode's remarkable and consistent electrical conductivity enables it to generate stable adaptive deformations that conform to diverse scalp topographies. Most impedance values fall below 10 kΩ, indicating heightened hydrophilicity compared to traditional conductive pastes, as evidenced by contact angle measurements. An empirical electroencephalography data collection study confirms its conductivity and signal transmission reliability. The acquired electroencephalography signals are utilized for emotion recognition utilizing band energy ratio analysis and support vector machine (SVM) algorithms. The operation of this system is both straightforward and convenient, requiring minimal preparation before and after the collection of electroencephalography signals. Utilizing an extensive range of raw materials and straightforward preparatory procedures enhances the potential industrial application of hydrogel electrodes, thereby significantly contributing to advancing civilian electroencephalography equipment and investigating depression-related pathologies.

CAS / MDL: 64-17-5
研究领域: 神经科学 · 生物医学工程 · 材料科学
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Research · 2022 · IF 11.036

Ten-Hour Stable Noninvasive Brain-Computer Interface Realized by Semidry Hydrogel-Based Electrodes

Junchen Liu,Sen Lin,Wenzheng Li,Yanzhen Zhao,Dingkun Liu,Zhaofeng He,Dong Wang,Ming Lei,Bo Hong,Hui Wu

Noninvasive brain-computer interface (BCI) has been extensively studied from many aspects in the past decade. In order to broaden the practical applications of BCI technique, it is essential to develop electrodes for electroencephalogram (EEG) collection with advanced characteristics such as high conductivity, long-term effectiveness, and biocompatibility. In this study, we developed a silver-nanowire/PVA hydrogel/melamine sponge (AgPHMS) semidry EEG electrode for long-lasting monitoring of EEG signal. Benefiting from the water storage capacity of PVA hydrogel, the electrolyte solution can be continuously released to the scalp-electrode interface during used. The electrolyte solution can infiltrate the stratum corneum and reduce the scalp-electrode impedance to 10 kΩ-15 kΩ. The flexible structure enables the electrode with mechanical stability, increases the wearing comfort, and reduces the scalp-electrode gap to reduce contact impedance. As a result, a long-term BCI application based on measurements of motion-onset visual evoked potentials (mVEPs) shows that the 3-hour BCI accuracy of the new electrode (77% to 100%) is approximately the same as that of conventional electrodes supported by a conductive gel during the first hour. Furthermore, the BCI system based on the new electrode can retain low contact impedance for 10 hours on scalp, which greatly improved the ability of BCI technique.

研究领域: 生物医学工程 · 神经科学
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NANO LETTERS · 2019 · IF 12.279

A Flexible, Robust, and Gel-Free Electroencephalogram Electrode for Noninvasive Brain-Computer Interfaces

Sen Lin,Junchen Liu,Wenzheng Li,Dong Wang,Ya Huang,Chao Jia,Ziwei Li,Muhammad Murtaza,Haiyang Wang,Jianan Song,Zhenglian Liu,Kai Huang,Di Zu,Ming Lei,Bo Hong,Hui Wu

Brain–computer interfaces (BCIs) enable direct and near-instant communication between the brain and electronic devices. One of the biggest remaining challenges is to develop an effective noninvasive BCI that allows the recording electrodes to avoid hair on human skin without the inconveniences and complications of using a conductive gel. In this study, we developed a cost-effective, easily manufacturable, flexible, robust, and gel-free silver nanowire/polyvinyl butyral (PVB)/melamine sponge (AgPMS) electroencephalogram (EEG) electrode that circumvents problems with hair. Because of surface metallization by the silver nanowires (AgNWs), the sponge has a high conductivity of 917 S/m while its weight remains the same. The flexible sponge framework and self-locking AgNWs combine to give the new electrode remarkable mechanical stability (the conductivity remains unchanged after 10 000 cycles at 10% compression) and the ability to bypass hair. A BCI application based on steady-state visual evoked potential (SSVEP) measurements on hairless skin shows that the BCI accuracy of the new electrode (86%) is approximately the same as that of conventional electrodes supported by a conductive gel (88%). Most importantly, the performance of the AgPMS on hairy skin is not significantly reduced, which indicates that the new electrode can replace conventional electrodes for both hairless and hairy skin BCIs and other EEG applications.

研究领域: 神经科学 · 生物医学工程 · 材料科学
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Nano Energy · 2021 · IF 17.881

A self-powered closed-loop brain-machine-interface system for real-time detecting and rapidly adjusting blood glucose concentration

Guangyou Yang,Yong Tang,Tao Lin,Tianyan Zhong,Yaowei Fan,Yan Zhang,Lili Xing,Xinyu Xue,Yang Zhan

The traditional methods of detecting and adjusting blood glucose concentration, such as blood analysis and insulin injection, may delay the treatment of metabolic disease . Here, a new self-powered closed-loop brain-machine-interface system for real-time detecting and rapidly adjusting blood glucose concentration has been fabricated. The system can work without external power supply and be self-powered by the body motion itself, which can meet the requirement of immediate treatment. The system mainly consists of active blood glucose sensor, energy harvester , micro-control unit and brain stimulator . The blood glucose sensor made of enzyme/ZnO nanowire arrays can output piezoelectric voltage under the driving of body motion, and the output can be treated as the glucose-detecting signal through the biosensing-piezoelectric coupling effect. A piezoelectric ceramic device as the energy harvester can convert the body mechanical energy into electricity for powering the whole system. The micro-control unit outputs brain stimulation pulse to the dorsomedial part of the ventromedial hypothalamus (VMHdm) in the brain upon abnormal blood glucose concentration . In mouse samples, the brain stimulator connected to the VMHdm augments the expression of regulatory nerve receptors to achieve rapid increase of blood glucose concentration (39% within 10 min). Thus, a closed loop is formed among the body, brain and system. This self-powered closed-loop approach improves the accessibility of physiological insights and extends brain-machine-interface application in precision medicine for metabolic diseases.

研究领域: 生物医学工程 · 代谢病学 · 神经工程 · 转化医学 · 糖尿病研究 · 分子传感 · 可穿戴设备
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SmartMat · 2023 · IF 20.4

Robust, self-adhesive, and low-contact impedance polyvinyl alcohol/polyacrylamide dual-network hydrogel semidry electrode for biopotential signal acquisition

Guangli Li,Ying Liu,Yuwei Chen,Yonghui Xia,Xiaoman Qi,Xuan Wan,Yuan Jin,Jun Liu,Quanguo He,Kanghua Li,Jianxin Tang

Herein, we fabricated a flexible semidry electrode with excellent mechanical performance, satisfactory self-adhesiveness, and low-contact impedance using physical/chemical crosslinked polyvinyl alcohol/polyacrylamide dual-network hydrogels (PVA/PAM DNHs) as an efficient saline reservoir. The resultant PVA/PAM DNHs showed admirable adhesive and compliance to the hairy scalp, facilitating the establishment of a robust electrode/skin interface for biopotential signal transmission. Moreover, the PVA/PAM DNHs steadily released trace saline onto the scalp to achieve the minimized potential drift (1.47 ± 0.39 mV/min) and low electrode–scalp impedance (18.2 ± 8.9 kΩ @ 10 Hz). More importantly, the application feasibility of real-world brain−computer interfaces (BCIs) was preliminarily validated by 10 participants using two classic BCI paradigms. The mean temporal cross-correlation coefficients between the semidry and wet electrodes in the eyes open/closed and the N200 speller paradigms are 0.919 ± 0.054 and 0.912 ± 0.050, respectively. Both electrodes demonstrate anticipated neuroelectrophysiological responses with similar patterns. This semidry electrode could also effectively capture robust P-QRS-T peaks during electrocardiogram recording. Considering their outstanding advantages of fast setup, user-friendliness, and robust signals, the proposed PVA/PAM DNH-based electrode is a promising alternative to wet electrodes in biopotential signal acquisition.

研究领域: 生物医学工程 · 材料科学 · 神经科学
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Advanced Materials Technologies · 2025 · IF 6.2

A 128-channel Flexible Probe for Stable Neural Recording in the Visual Cortex

Kejun Tu,Qingyuan Chen,Hao Zheng,Qingda Xu,Chunpeng Jiang,Jiawei Cao,Dongyang Wen,Zixing Li,Ning Wei,Haoyuan Chen,Bin Yang,Jiayi Zhang,Longchun Wang,Jingquan Liu

High-density neural interfaces are pivotal for advancing visual brain-computer interfaces (BCIs), where decoding complex perceptual information necessitates large-scale and high-fidelity neural recordings. Conventional silicon-based probes, however, provoke chronic neuroinflammation and glial scarring, limiting their utility for longitudinal studies. To overcome these challenges, we design and fabricate a high-density flexible vision probe (HFVP) featuring 128 channels, reliable packaging (compact ball grid array), and ultrathin form factor (≈1.2 µm). The electrode sites are further modified with biocompatible iridium oxide (IrO x ) film to improve the electrochemical performance by an order of magnitude, facilitating high-fidelity neural signal acquisition. In vivo recordings of the mouse's primary visual cortex (V1) have demonstrated HFVP's capacity for large-scale neural recording and revealed that neurons with preferences for visual stimuli exhibit higher spike correlation. Moreover, the stability of the HFVP is assessed for over sixteen weeks without apparent degradation. The HFVP presented in this work provides a stable and effective tool for chronic neural recording in the visual cortex and prospective applications in vision reconstruction.

CAS / MDL: 872-50-4
研究领域: 神经工程 · 生物医学工程 · 神经科学 · 脑机接口 · 生物材料 · 电生理学 · 视觉系统
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GIANT · 2024 · IF 5.4

Multifunctional ultraflexible neural probe for wireless optogenetics and electrophysiology

Suhao Wang,Lixuan Li,Shun Zhang,Qianqian Jiang,Pengxian Li,Chengjun Wang,Rui Xiao,Xiao-Ming Li,Jizhou Song

Electrophysiology and optogenetics are pivotal in neuroscience for probing and modulating neural activities, playing a vital role in unraveling the complexities of brain functionality. Despite their importance, the efficacy of existing devices is hampered by insufficient functional integration, pronounced foreign body reactions, and physical constraints that impede natural animal behaviors. Here, we develop a multifunctional, ultraflexible neural probe designed for simultaneous electrophysiological monitoring and optical neural modulation, along with mechanical properties that are conducive to flexibility and compliance. By integrating a wireless neural signal acquisition and stimulation circuit, we achieved wireless recording of brain signals in mice and wireless optogenetic control over their locomotor behavior. The multifunctional ultraflexible probe presented in this study holds substantial promise for closed-loop brain-machine interfaces and deepening our understanding of neural circuit functions. This innovative approach addresses the aforementioned limitations by a comprehensive solution for in vivo neural interrogation and manipulation, marking a significant advancement in the tools available for neuroscience research.

CAS / MDL: 16961-25-4
研究领域: 神经科学 · 生物医学工程 · 神经接口 · 光遗传学 · 电生理学
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Matter · 2022 · IF 19.967

Bioadhesive and conductive hydrogel-integrated brain-machine interfaces for conformal and immune-evasive contact with brain tissue

Xiao Wang,Xiaotong Sun,Donglin Gan,Manon Soubrier,Hsin-Yin Chiang,Liwei Yan,Yingqi Li,Junjun Li,Shuang Yu,Yang Xia,Kefeng Wang,Qiaozhen Qin,Xiaoxia Jiang,Lu Han,Taisong Pan,Chaoming Xie,Xiong Lu

Summary Brain-machine interfaces (BMIs) enable communication between the brain and external machines. However, mechanical and biological mismatches, as well as weak physical adhesion-induced shifts between rigid electronic devices and soft brain tissue, generally trigger a host immune response, affecting signal recording and reducing the lifespan of BMIs in clinics. Herein, we design a bioadhesive ultrasoft BMI based on integration of bioelectronics with a dopamine methacrylate-hybridized poly(3,4-ethylenedioxythiophene) nanoparticle (dPEDOT NP)-incorporated hydrogel with high conductivity. The hydrogel exhibits robust adhesiveness, enabling tight integration with metallic microcircuits and seamless adhesion to the brain tissue. Most importantly, the hydrogel exhibits a brain-level modulus that reduces its mechanical discrepancy with brain tissue. Meanwhile, the hydrogel possesses immune-evasive ability, which actively prevents fibrous tissue encapsulation and neuroinflammation after implantation. Consequently, the immune-evasive, bioadhesive, ultrasoft, and conductive hydrogel-integrated BMI permits long-term and accurate electroencephalographic signal acquisition and communication with minimal foreign body reaction.

研究领域: 神经科学 · 生物医学工程 · 材料科学
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Journal of Materials Chemistry A · 2024 · IF 10.7

Hierarchical hybrid crosslinking multifunctional gelatin-based hydrogel: ideal platforms for flexible wearable devices, brain–computer interfaces and biomedical applications

Chang Xu,Shiqiang Guan,Hao Zhang,Weiwang Fan,Xijing Zhuang,Xufeng Dong

Hydrogels are promising candidates for flexible wearable technology, biomedicine, and even brain–computer interfaces (BCI). However, the mismatch in the mechanical properties and high biotoxicity of the materials cast a shadow on their application prospects. Herein, we developed a multifunctional hydrogel matrix primarily based on the natural polymer gelatin. Multilevel hybrid dynamic crosslinking (MHC) enables the adjustment of the hydrogel molecular network and endows the material with satisfactory mechanical properties and self-healing behavior. The excellent biocompatibility of the hydrogel is enough to support the growth and proliferation of cells while avoiding tissue rejection or inflammation. Moreover, the excellent self-adhesive performance allows the hydrogel to directly adhere to the surface of human skin and tissues, enabling real-time monitoring of body movements and non-invasive sensing of electroencephalogram (EEG) signals. Therefore, the multifunctional hydrogel matrix with self-adhesive behavior, self-healing properties, appropriate mechanical performance, and excellent biocompatibility can be regarded as a promising platform for applications in flexible wearable devices, biomedical materials, and BCI devices.

CAS / MDL: 9000-70-8 1303-96-4
研究领域: 材料科学 · 生物材料 · 生物医学工程 · 可穿戴技术 · 神经科学
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REACTIVE & FUNCTIONAL POLYMERS · 2023 · IF 5.1

Preparation and properties of multiple dynamically crosslinked self-healing poly(siloxane-urethane) flexible sensor

Xiaoyu Zhang,Keyu Feng,Peng Yin,Yuqi Pan,Yujie Liu,Fanglei Zeng,Ning Li,Gang Yi,Zhongwei Wang

The flexible sensor with self-healing performance can heal itself when the sensor is damaged by the outside world, so it can significantly improve the service life of the sensor and reduce the repair cost, which has attracted widespread attention. However, currently, most flexible sensors with self-healing performance have problems such as single repair conditions and difficulty in balancing mechanical performance and repair efficiency. In this study, polypyrrole modified carbon nanotubes (PPY/CNTs) were first made, and then, inspired by the Chinese traditional myth “Nuwa Fuxi”, a multiple dynamic crosslinking self-healing composite poly(siloxane-urethane) conductive elastomer (CPUSi) was successfully developed. The prepared CPUSi has excellent mechanical properties (11.27 MPa) and total shear repair efficiency (84%) under the excitation of multiple dynamic reversible interactions. At the same time, the surface scratch of CPUSi can be self-healing under multiple conditions such as heating at 60 °C, infrared light and ultraviolet light. The scratch repair efficiency is up to 99.9% under infrared light for 2 h. in addition, CPUSi has cyclic response to temperature and strain, so the material has broad application prospects in sports monitoring, electronic skin, intelligent wear, brain-computer interface and other fields

研究领域: 材料科学 · 纳米技术 · 传感器技术 · 生物医学工程
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Journal of Materials Chemistry C · 2025 · IF 5.1

Self-Powered WO₃-Based Photoelectrochemical Synapse for Object Distance Judgment

Jinhai Yang,Xueqi Chen,Shengqi Huang,Xiaotian Han,Zongyu Huang,Yang Chen,Xiang Qi

Artificial synaptic devices that emulate biological neural systems hold significant promise for neuromorphic computing and brain-inspired intelligence. The development of low-power, cost-effective synaptic devices is crucial for applications in intelligent recognition and real-time monitoring. In this work, WO₃ films were constructed by radio frequency magnetron sputtering, and the self-powered WO₃-based photoelectrochemical synapse was fabricated. The experimental data demonstrate that the WO₃-based photoelectrochemical synapse exhibits self-powered characteristics at 0 bias voltage. This is primarily due to the built-in electric field formed at the semiconductor-electrolyte interface via band bending, which drives the separation of photogenerated carriers and consequently generates the photocurrent. The plasticity conversion between the short-term plasticity and long-term plasticity of photoelectrochemical synapse was achieved by adjusting the number of optical pulses, light power density and frequency.The learning, memory and forgetting behaviors of photoelectrochemical synapses based on WO₃ mapped. More importantly, we further fabricated a 5 × 5 matrix synapses array, successfully simulating the application for object distance judgment. This work highlights the potential of low-energy consumption and low-cost photoelectrochemical synapses, providing a feasible solution for the field of intelligent recognition.

CAS / MDL: 7757-82-6 9002-89-5
研究领域: 生物医学工程 · 神经科学 · 材料科学 · 仿生电子学 · 智能传感 · 光电化学 · 纳米技术 · 脑机接口
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