Network Physiology of Cortico-Muscular Interactions.
Network Physiology of Cortico-Muscular Interactions.
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DOI：
10.3389/fphys.2020.558070
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发表时间：
2020
影响因子：
4
通讯作者：
Ivanov PC
中科院分区：
文献类型：
--
作者：
Rizzo R;Zhang X;Wang JWJL;Lombardi F;Ivanov PC
骨骼肌活动在生理状态下不断调节，以提供对身体任务和外部输入的协调性、灵活性和响应性。尽管肌肉系统在促进重要的身体功能方面发挥着核心作用，但尚未研究控制数百块肌肉并使其激活与不同生理状态同步所需的脑-肌肉相互作用网络。最近的方法集中在运动任务期间个体脑节律和肌肉激活之间的一般关联。然而，耦合的具体形式，皮质-肌肉协调的功能网络，以及网络结构和动力学如何通过跨生理状态的自主调节来调节仍然是未知的。为了识别和量化皮质-肌肉相互作用网络并揭示神经自主神经控制肌肉功能的基本特征，我们研究了睡眠和清醒期间皮质节律同步爆发与外周肌肉激活之间的耦合。利用时间延迟稳定性的概念和一种新的网络生理学方法，我们发现，大脑肌肉网络表现出复杂的动态模式的通信，涉及多个大脑节奏在皮层的位置和不同的肌电图频带。此外，我们的研究结果表明，在每个生理状态期间，皮质肌肉网络的特征是网络链接强度的特定特征，其中特定的脑节律发挥着相互作用和控制的主要介质的作用。此外，我们发现了一个分层重组的网络结构在不同的生理状态，高连接性和网络连接强度在清醒期间，中间在REM和浅睡眠，低在深睡眠，睡眠阶段分层，表现出一个独特的生理状态和皮质-肌肉网络结构之间的关联。报告的经验观察是一致的个体受试者，表明网络结构和动力学的普遍行为，以及皮质-肌肉控制对自主调节变化的高敏感性，即使在睡眠期间的低水平的身体活动和肌肉张力。我们的研究结果证明了以前未被认识的脑肌肉网络通信和控制的基本原则，并提供了新的观点，对脑动力学和运动激活的调节机制，神经退行性疾病，运动和睡眠障碍的潜在临床意义，并制定有效的治疗策略。
Skeletal muscle activity is continuously modulated across physiologic states to provide coordination, flexibility and responsiveness to body tasks and external inputs. Despite the central role the muscular system plays in facilitating vital body functions, the network of brain-muscle interactions required to control hundreds of muscles and synchronize their activation in relation to distinct physiologic states has not been investigated. Recent approaches have focused on general associations between individual brain rhythms and muscle activation during movement tasks. However, the specific forms of coupling, the functional network of cortico-muscular coordination, and how network structure and dynamics are modulated by autonomic regulation across physiologic states remains unknown. To identify and quantify the cortico-muscular interaction network and uncover basic features of neuro-autonomic control of muscle function, we investigate the coupling between synchronous bursts in cortical rhythms and peripheral muscle activation during sleep and wake. Utilizing the concept of time delay stability and a novel network physiology approach, we find that the brain-muscle network exhibits complex dynamic patterns of communication involving multiple brain rhythms across cortical locations and different electromyographic frequency bands. Moreover, our results show that during each physiologic state the cortico-muscular network is characterized by a specific profile of network links strength, where particular brain rhythms play role of main mediators of interaction and control. Further, we discover a hierarchical reorganization in network structure across physiologic states, with high connectivity and network link strength during wake, intermediate during REM and light sleep, and low during deep sleep, a sleep-stage stratification that demonstrates a unique association between physiologic states and cortico-muscular network structure. The reported empirical observations are consistent across individual subjects, indicating universal behavior in network structure and dynamics, and high sensitivity of cortico-muscular control to changes in autonomic regulation, even at low levels of physical activity and muscle tone during sleep. Our findings demonstrate previously unrecognized basic principles of brain-muscle network communication and control, and provide new perspectives on the regulatory mechanisms of brain dynamics and locomotor activation, with potential clinical implications for neurodegenerative, movement and sleep disorders, and for developing efficient treatment strategies.
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影响因子：
3.5
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