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生物物理模型:丙泊酚作用机制研究的一种有前途的方法:叙事性综述。

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

机构信息

Department of Anesthesiology and Perioperative Medicine, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai 200434, China.

Translational Research Institute of Brain and Brain-Like Intelligence, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai 200434, China.

出版信息

Comput Intell Neurosci. 2022 May 17;2022:8202869. doi: 10.1155/2022/8202869. eCollection 2022.

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.

摘要

丙泊酚的生理和神经调节机制在很大程度上基于非常有限的知识。这是麻醉学中的一个重要难题,在科学和临床领域都具有重要价值。人们认为,由许多神经回路组成的神经网络可能参与了麻醉机制。然而,这一假说的机制仍需要进一步阐明。随着人工智能的进步,通过使用人工神经网络进行时间波形数据分析并构建生物物理计算模型,更有可能解决这个问题。本综述通过构建生物物理计算模型,重点介绍了丙泊酚(一种静脉全身麻醉剂)的麻醉机制的现有知识。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fe9/9129930/f8ec27275cea/CIN2022-8202869.001.jpg

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