同步肌纤维激活的肌间网络。

Frontiers in network physiology Pub Date : 2022-11-14 eCollection Date: 2022-01-01 DOI:10.3389/fnetp.2022.1059793
Sergi Garcia-Retortillo, Plamen Ch Ivanov
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引用次数: 6

摘要

骨骼肌持续协调,以促进广泛的运动。肌肉纤维的组成和激活的时间决定了微调肌肉协调和产生运动所需的不同肌肉功能和动力学。在这里,我们解决了不同肌肉纤维类型如何在具有不同功能的肌肉之间动态同步和集成为网络的基本问题。我们发现,生理状态的特征是肌纤维跨频率相互作用的独特肌间网络,具有不同子网络和模块的分层组织,以及每个状态特有的链路强度的分层轮廓。我们确定了这个网络是如何随着从休息到锻炼和疲劳的转变而重组的——这是一个复杂的过程,网络模块遵循不同的相空间轨迹,反映了它们在运动和适应疲劳中的功能作用。这开辟了一个新的研究领域,运动的网络生理学,从而产生了新的基于网络的健康、健身和临床条件生物标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Inter-muscular networks of synchronous muscle fiber activation.

Inter-muscular networks of synchronous muscle fiber activation.

Inter-muscular networks of synchronous muscle fiber activation.

Inter-muscular networks of synchronous muscle fiber activation.

Skeletal muscles continuously coordinate to facilitate a wide range of movements. Muscle fiber composition and timing of activation account for distinct muscle functions and dynamics necessary to fine tune muscle coordination and generate movements. Here we address the fundamental question of how distinct muscle fiber types dynamically synchronize and integrate as a network across muscles with different functions. We uncover that physiological states are characterized by unique inter-muscular network of muscle fiber cross-frequency interactions with hierarchical organization of distinct sub-networks and modules, and a stratification profile of links strength specific for each state. We establish how this network reorganizes with transition from rest to exercise and fatigue-a complex process where network modules follow distinct phase-space trajectories reflecting their functional role in movements and adaptation to fatigue. This opens a new area of research, Network Physiology of Exercise, leading to novel network-based biomarkers of health, fitness and clinical conditions.

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CiteScore
2.70
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