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Modulating Brain Activity with Invasive Brain-Computer Interface: A Narrative Review.
Zhao, Zhi-Ping; Nie, Chuang; Jiang, Cheng-Teng; Cao, Sheng-Hao; Tian, Kai-Xi; Yu, Shan; Gu, Jian-Wen.
Afiliação
  • Zhao ZP; School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China.
  • Nie C; Strategic Support Force Medical Center, Beijing 100101, China.
  • Jiang CT; Savaid Medical School, University of Chinese Academy of Sciences, Beijing 100049, China.
  • Cao SH; Brainnetome Center and National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Beijing 100190, China.
  • Tian KX; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China.
  • Yu S; Brainnetome Center and National Laboratory of Pattern Recognition, Chinese Academy of Sciences, Beijing 100190, China.
  • Gu JW; School of Future Technology, University of Chinese Academy of Sciences, Beijing 100049, China.
Brain Sci ; 13(1)2023 Jan 12.
Article em En | MEDLINE | ID: mdl-36672115
ABSTRACT
Brain-computer interface (BCI) can be used as a real-time bidirectional information gateway between the brain and machines. In particular, rapid progress in invasive BCI, propelled by recent developments in electrode materials, miniature and power-efficient electronics, and neural signal decoding technologies has attracted wide attention. In this review, we first introduce the concepts of neuronal signal decoding and encoding that are fundamental for information exchanges in BCI. Then, we review the history and recent advances in invasive BCI, particularly through studies using neural signals for controlling external devices on one hand, and modulating brain activity on the other hand. Specifically, regarding modulating brain activity, we focus on two types of techniques, applying electrical stimulation to cortical and deep brain tissues, respectively. Finally, we discuss the related ethical issues concerning the clinical application of this emerging technology.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article