Biophysical Model: A Promising Method in the Study of the Mechanism of Propofol: A Narrative Review

Zhen Li, Jia Liu, Huazheng Liang

Research output: Contribution to journalReview ArticleResearchpeer-review

2 Citations (Scopus)

Abstract

The physiological and neuroregulatory mechanism of propofol is largely based on very limited knowledge. It is one of the important puzzling issues in anesthesiology and is of great value in both scientific and clinical fields. It is acknowledged that neural networks which are comprised of a number of neural circuits might be involved in the anesthetic mechanism. However, the mechanism of this hypothesis needs to be further elucidated. With the progress of artificial intelligence, it is more likely to solve this problem through using artificial neural networks to perform temporal waveform data analysis and to construct biophysical computational models. This review focuses on current knowledge regarding the anesthetic mechanism of propofol, an intravenous general anesthetic, by constructing biophysical computational models.

Original languageEnglish
Article number8202869
Number of pages10
JournalComputational Intelligence and Neuroscience
Volume2022
DOIs
Publication statusPublished - 17 May 2022
Externally publishedYes

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