关于自主神经系统的整体和动态网络层面的观点
Sandya Subramanian1,2, Zhe Sage Chen3,4, Riccardo Barbieri5
11Department of Computational Precision Health, University of California, Berkeley, California, USA;
Annual review of biomedical engineering
|December 19, 2025
概括
自主神经系统 (ANS) 的网络层面的视角对于理解健康和疾病至关重要. 这种方法超越了减少主义方法,揭示了ANS在现实环境中的动态功能.
科学领域:
- 身体生理学 身体生理学
- 系统生物学 系统生物学
- 生物医学工程 生物医学工程
背景情况:
- 自主神经系统 (ANS) 是管理急性和慢性健康状况的组成部分.
- 传统的缩小主义方法研究ANS,专注于个体器官系统,是不足以全面理解.
- 需要一个整体的,网络层面的视图来掌握ANS复杂和动态的功能.
研究的目的:
- 倡导自主神经系统的网络层面的观点.
- 强调在门诊和家庭环境中持续的纵向监测的重要性.
- 探索ANS监控,建模和调制中的新兴研究方向和工程创新.
主要方法:
- 关于自主神经系统生理学的综述.
- 对ANS研究的网络层面视角的概要.
- 突出目前的研究和工程进步.
主要成果:
- 确定了在ANS研究中的简化主义方法的局限性.
- 介绍了一个将ANS视为协调,动态网络的框架.
- 持续的,纵向监测的好处被强调,而不是基于临床的评估.
结论:
- 对ANS的整体,网络层面的理解对于推进医疗保健至关重要.
- 未来的研究应该专注于在现实环境中对ANS的综合监测和建模.
- 工程创新是实现ANS研究和临床应用新方法的关键.
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