Plasticity of Cultured Neural Networks In Vitro
Author:
Affiliation:

Institute of Medical Engineering and Translational Medicine, Tianjin University, Tianjin 300072, China

Clc Number:

Fund Project:

This work was supported by grants from National Key Research and Development Program (2021YFF1200800),The National Natural Science Foundation of China (82171861, 81971782, 82101853) and Tianjin Science and Technology Plan Project (20JCZDJC00780).

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    Neuronal network is the structural basis for the execution of higher cognitive functions in the brain. Research has shown that learning, memory, and neurodegenerative diseases are closely related to neuronal network plasticity. Therefore, uncovering the mechanisms that regulate and modify neuronal network plasticity is of great significance for understanding information processing in the nervous system and for the treatment of diseases. Currently, neuronal networks cultured on microelectrode array (MEA) provide an ideal model for investigating learning and memory mechanisms in vitro. Additionally, studying such models offers a unique perspective for the prevention and treatment of neurodegenerative diseases. In this review, we summarize relevant research on functional network construction based on recording the electrical signals of neuronal networks cultivated on MEA. We focus on two aspects: 2D neuronal networks and 3D brain organoid development, as well as the effects of open-loop and closed-loop electrical stimulation on neuronal network plasticity. Lastly, we provide an outlook on the future applications of studying neuronal network plasticity using in vitro cultured networks.

    Reference
    Related
    Cited by
Get Citation

SHAO Qi, MENG Wei-Wei, LI Xiao-Hong, SHAO Wen-Wei. Plasticity of Cultured Neural Networks In Vitro[J]. Progress in Biochemistry and Biophysics,2024,51(5):1000-1009

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:June 02,2023
  • Revised:April 09,2024
  • Accepted:September 28,2023
  • Online: May 21,2024
  • Published: May 20,2024