State Key Laboratory of Transducer Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100190, China.
School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, PR China.
ACS Appl Bio Mater. 2023 Sep 18;6(9):3414-3422. doi: 10.1021/acsabm.3c00105. Epub 2023 Apr 18.
The learning and memory functions of the brain remain unclear, which are in urgent need for the detection of both a single cell signal with high spatiotemporal resolution and network activities with high throughput. Here, an in vitro microelectrode array (MEA) was fabricated and further modified with polypyrrole/carboxylated single-walled carbon nanotubes (PPy/SWCNTs) nanocomposites as the interface between biological and electronic systems. The deposition of the nanocomposites significantly improved the performance of microelectrodes including low impedance (60.3 ± 28.8 k Ω), small phase delay (-32.8 ± 4.4°), and good biocompatibility. Then the modified MEA was used to apply learning training and test on hippocampal neuronal network cultured for 21 days through electrical stimulation, and multichannel electrophysiological signals were recorded simultaneously. During the process of learning training, the stimulus/response ratio of the hippocampal learning population gradually increased and the response time gradually decreased. After training, the mean spikes in burst, number of bursts, and mean burst duration increased by 53%, 191%, and 52%, respectively, and the correlation of neurons in the network was significantly enhanced from 0.45 ± 0.002 to 0.78 ± 0.002. In addition, the neuronal network basically retained these characteristics for at least 5 h. These results indicated that we have successfully constructed a learning and memory model of hippocampal neurons on the in vitro MEA, contributing to understanding learning and memory based on synaptic plasticity. The proposed PPy/SWCNTs-modified in vitro MEA will provide a promising platform for the exploration of learning and memory mechanism and their applications in vitro.
大脑的学习和记忆功能仍不清楚,因此迫切需要同时检测具有高时空分辨率的单个细胞信号和具有高通量的网络活动。在这里,制备了一种体外微电极阵列(MEA),并进一步用聚吡咯/羧基化单壁碳纳米管(PPy/SWCNTs)纳米复合材料修饰,作为生物与电子系统之间的接口。纳米复合材料的沉积显著提高了微电极的性能,包括低阻抗(60.3±28.8 kΩ)、小相位延迟(-32.8±4.4°)和良好的生物相容性。然后,使用修饰后的 MEA 通过电刺激对培养 21 天的海马神经元网络进行学习训练和测试,并同时记录多通道电生理信号。在学习训练过程中,海马学习群体的刺激/反应比逐渐增加,反应时间逐渐缩短。训练后,爆发中的平均尖峰、爆发次数和平均爆发持续时间分别增加了 53%、191%和 52%,网络中神经元的相关性从 0.45±0.002 显著增强到 0.78±0.002。此外,神经元网络基本保持这些特征至少 5 小时。这些结果表明,我们已经成功地在体外 MEA 上构建了海马神经元的学习和记忆模型,有助于理解基于突触可塑性的学习和记忆。所提出的 PPy/SWCNTs 修饰的体外 MEA 将为探索学习和记忆机制及其在体外的应用提供有前途的平台。