High-Throughput PEDOT:PSS/PtNPs-Modified Microelectrode Array for Simultaneous Recording and Stimulation of Hippocampal Neuronal Networks in Gradual Learning Process

被引:0
|
作者
Xu, Shihong [1 ,2 ]
Deng, Yu [3 ]
Luo, Jinping [1 ,2 ]
He, Enhui [1 ,2 ]
Liu, Yaoyao [1 ,2 ]
Zhang, Kui [1 ,2 ]
Yang, Yan [1 ,2 ]
Xu, Shengwei [1 ,2 ]
Sha, Longze [3 ,4 ]
Song, Yilin [1 ,2 ]
Xu, Qi [3 ,4 ]
Cai, Xinxia [1 ]
机构
[1] State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing,100190, China
[2] University of Chinese Academy of Sciences, Beijing,100049, China
[3] State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences Chinese, Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing,100005, China
[4] Neuroscience Center, Chinese Academy of Medical Sciences, Beijing,100005, China
来源
ACS Applied Materials and Interfaces | 2022年 / 14卷 / 13期
基金
中国国家自然科学基金;
关键词
Electrophysiology - Cellular neural networks - More electric aircraft - Microelectrodes - Conducting polymers - Learning systems;
D O I
暂无
中图分类号
学科分类号
摘要
When it comes to mechanisms of brain functions such as learning and memory mediated by neural networks, existing multichannel electrophysiological detection and regulation technology at the cellular level does not suffice. To address this challenge, a 128-channel microelectrode array (MEA) was fabricated for electrical stimulation (ES) training and electrophysiological recording of the hippocampal neurons in vitro. The PEDOT:PSS/PtNPs-coated microelectrodes dramatically promote the recording and electrical stimulation performance. The MEA exhibited low impedance (10.94 ± 0.49 kohm), small phase delay (-12.54 ± 0.51°), high charge storage capacity (14.84 ± 2.72 mC/cm2), and high maximum safe injection charge density (4.37 ± 0.22 mC/cm2), meeting the specific requirements for training neural networks in vitro. A series of ESs at various frequencies was applied to the neuronal cultures in vitro, seeking the optimum training mode that enables the neuron to display the most obvious plasticity, and 1 Hz ES was determined. The network learning process, including three consecutive trainings, affected the original random spontaneous activity. Along with that, the firing pattern gradually changed to burst and the correlation and synchrony of the neuronal activity in the network have progressively improved, increasing by 314% and 240%, respectively. The neurons remembered these changes for at least 4 h. Collectively, ES activates the learning and memory functions of neurons, which is manifested in transformations in the discharge pattern and the improvement of network correlation and synchrony. This study offers a high-performance MEA revealing the underlying learning and memory functions of the brain and therefore serves as a useful tool for the development of brain functions in the future. © 2022 American Chemical Society. All rights reserved.
引用
收藏
页码:15736 / 15746
相关论文
共 4 条
  • [1] High-Throughput PEDOT:PSS/PtNPs-Modified Microelectrode Array for Simultaneous Recording and Stimulation of Hippocampal Neuronal Networks in Gradual Learning Process
    Xu, Shihong
    Deng, Yu
    Luo, Jinping
    He, Enhui
    Liu, Yaoyao
    Zhang, Kui
    Yang, Yan
    Xu, Shengwei
    Sha, Longze
    Song, Yilin
    Xu, Qi
    Cai, Xinxia
    ACS APPLIED MATERIALS & INTERFACES, 2022, 14 (13) : 15736 - 15746
  • [2] PtNPs/Short MWCNT-PEDOT: PSS-Modified Microelectrode Array to Detect Neuronal Firing Patterns in the Dorsal Raphe Nucleus and Hippocampus of Insomnia Rats
    Wang, Yun
    Wang, Mixia
    Dai, Yuchuan
    Song, Yilin
    Wang, Yiding
    Lu, Botao
    Li, Yinghui
    Cai, Xinxia
    MICROMACHINES, 2022, 13 (03)
  • [3] MWCNTs/PEDOT:PSS nanocomposites-modified microelectrode array for spatial dynamics recording of epileptic discharges in multi-subregion of hippocampal slice
    He, Enhui
    Xu, Shengwei
    Xiao, Guihua
    Dai, Yuchuan
    Li, Xinrong
    Song, Yilin
    Gao, Fei
    Zhang, Yu
    Xu, Shihong
    Cai, Xinxia
    SENSORS AND ACTUATORS B-CHEMICAL, 2021, 329
  • [4] PPy/SWCNTs-Modified Microelectrode Array for Learning and Memory Model Construction through Electrical Stimulation and Detection of In Vitro Hippocampal Neuronal Network
    Yang, Yan
    Deng, Yu
    Xu, Shihong
    Liu, Yaoyao
    Liang, Wei
    Zhang, Kui
    Lv, Shiya
    Sha, Longze
    Yin, Huabing
    Wu, Yirong
    Luo, Jinping
    Xu, Qi
    Cai, Xinxia
    ACS APPLIED BIO MATERIALS, 2023, 6 (09) : 3414 - 3422