Multiscale modeling of the neuromuscular system: Coupling neurophysiology and skeletal muscle mechanics.

IF 7.9 Q1 Medicine
Oliver Röhrle, Utku Ş Yavuz, Thomas Klotz, Francesco Negro, Thomas Heidlauf
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引用次数: 27

Abstract

Mathematical models and computer simulations have the great potential to substantially increase our understanding of the biophysical behavior of the neuromuscular system. This, however, requires detailed multiscale, and multiphysics models. Once validated, such models allow systematic in silico investigations that are not necessarily feasible within experiments and, therefore, have the ability to provide valuable insights into the complex interrelations within the healthy system and for pathological conditions. Most of the existing models focus on individual parts of the neuromuscular system and do not consider the neuromuscular system as an integrated physiological system. Hence, the aim of this advanced review is to facilitate the prospective development of detailed biophysical models of the entire neuromuscular system. For this purpose, this review is subdivided into three parts. The first part introduces the key anatomical and physiological aspects of the healthy neuromuscular system necessary for modeling the neuromuscular system. The second part provides an overview on state-of-the-art modeling approaches representing all major components of the neuromuscular system on different time and length scales. Within the last part, a specific multiscale neuromuscular system model is introduced. The integrated system model combines existing models of the motor neuron pool, of the sensory system and of a multiscale model describing the mechanical behavior of skeletal muscles. Since many sub-models are based on strictly biophysical modeling approaches, it closely represents the underlying physiological system and thus could be employed as starting point for further improvements and future developments. This article is categorized under: Physiology > Mammalian Physiology in Health and Disease Analytical and Computational Methods > Computational Methods Models of Systems Properties and Processes > Organ, Tissue, and Physiological Models.

神经肌肉系统的多尺度建模:耦合神经生理学和骨骼肌力学。
数学模型和计算机模拟具有极大的潜力,可以大大增加我们对神经肌肉系统生物物理行为的理解。然而,这需要详细的多尺度和多物理场模型。一旦得到验证,这些模型就可以进行系统的计算机研究,而这些研究在实验中不一定是可行的,因此,有能力为健康系统和病理条件内复杂的相互关系提供有价值的见解。现有的大多数模型关注的是神经肌肉系统的单个部分,而没有将神经肌肉系统作为一个完整的生理系统来考虑。因此,本综述的目的是促进整个神经肌肉系统详细生物物理模型的前瞻性发展。为此,本文分为三个部分。第一部分介绍了健康神经肌肉系统建模所必需的关键解剖和生理方面。第二部分概述了在不同时间和长度尺度上代表神经肌肉系统所有主要组成部分的最先进的建模方法。最后,介绍了一个具体的多尺度神经肌肉系统模型。该综合系统模型结合了现有的运动神经元池模型、感觉系统模型和描述骨骼肌力学行为的多尺度模型。由于许多子模型是严格基于生物物理建模方法的,因此它紧密地代表了潜在的生理系统,因此可以作为进一步改进和未来发展的起点。本文分类如下:生理学>健康与疾病中的哺乳动物生理学>系统特性和过程的计算方法模型>器官、组织和生理模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
18.40
自引率
0.00%
发文量
0
审稿时长
>12 weeks
期刊介绍: Journal Name:Wiley Interdisciplinary Reviews-Systems Biology and Medicine Focus: Strong interdisciplinary focus Serves as an encyclopedic reference for systems biology research Conceptual Framework: Systems biology asserts the study of organisms as hierarchical systems or networks Individual biological components interact in complex ways within these systems Article Coverage: Discusses biology, methods, and models Spans systems from a few molecules to whole species Topical Coverage: Developmental Biology Physiology Biological Mechanisms Models of Systems, Properties, and Processes Laboratory Methods and Technologies Translational, Genomic, and Systems Medicine
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