Electrode Arrays for Detecting and Modulating Deep Brain Neural Information in Primates: A Review.

Journal: Cyborg and bionic systems (Washington, D.C.)
Published Date:

Abstract

Primates possess a more developed central nervous system and a higher level of intelligence than rodents. Detecting and modulating deep brain activity in primates enhances our understanding of neural mechanisms, facilitates the study of major brain diseases, enables brain-computer interactions, and supports advancements in artificial intelligence. Traditional imaging methods such as magnetic resonance imaging, positron emission computed tomography, and scalp electroencephalogram are limited in spatial resolution. They cannot accurately capture deep brain signals from individual neurons. With the progress of microelectromechanical systems and other micromachining technologies, single-neuron level detection and stimulation technology in rodents based on microelectrodes has made important progress. However, compared with rodents, human and nonhuman primates have larger brain volume that needs deeper implantation depth, and the test object has higher safety and device preparation requirements. Therefore, high-resolution devices suitable for long-term detection in the brains of primates are urgently needed. This paper reviewed electrode array devices used for electrophysiological and electrochemical detections in primates' deep brains. The research progress of neural recording and stimulation technologies was introduced from the perspective of electrode type and device structures, and their potential value in neuroscience research and clinical disease treatments was discussed. Finally, it is speculated that future electrodes will have a lot of room for development in terms of flexibility, high resolution, deep brain, and high throughput. The improvements in electrode forms and preparation process will expand our understanding of deep brain neural activities, and bring new opportunities and challenges for the further development of neuroscience.

Authors

  • Siyu Zhang
    Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, 430074, China.
  • Yilin Song
    State Key Laboratory of Transducer Technology, Aerospace Information Research Institute. Chinese Academy of Sciences, Beijing 100190, China.
  • Shiya Lv
    State Key Laboratory of Transducer Technology, Aerospace Information Research Institute. Chinese Academy of Sciences, Beijing 100190, China.
  • Luyi Jing
    State Key Laboratory of Transducer Technology, Aerospace Information Research Institute. Chinese Academy of Sciences, Beijing 100190, China.
  • Mingchuan Wang
    State Key Laboratory of Transducer Technology, Aerospace Information Research Institute. Chinese Academy of Sciences, Beijing 100190, China.
  • Yu Liu
    Research Center of Information Technology, Beijing Academy of Agriculture and Forestry Science, Beijing, China.
  • Wei Xu
    College of Food and Bioengineering, Henan University of Science and Technology, Luoyang, 471023 China.
  • Peiyao Jiao
    State Key Laboratory of Transducer Technology, Aerospace Information Research Institute. Chinese Academy of Sciences, Beijing 100190, China.
  • Suyi Zhang
    State Key Laboratory of Transducer Technology, Aerospace Information Research Institute. Chinese Academy of Sciences, Beijing 100190, China.
  • Mixia Wang
    State Key Laboratory of Transducer Technology, Aerospace Information Research Institute. Chinese Academy of Sciences, Beijing 100190, China.
  • Juntao Liu
    State Key Laboratory of Transducer Technology, Aerospace Information Research Institute. Chinese Academy of Sciences, Beijing 100190, China.
  • Yirong Wu
    State Key Laboratory of Transducer Technology, Aerospace Information Research Institute. Chinese Academy of Sciences, Beijing 100190, China.
  • Xinxia Cai
    State Key Laboratory of Transducer Technology, Aerospace Information Research Institute. Chinese Academy of Sciences, Beijing 100190, China.

Keywords

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