ArticleJournal of applied physiology (Bethesda, Md. : 1985)2020
Universal spectral profile and dynamic evolution of muscle activation: a hallmark of muscle type and physiological state.
Article in Journal of applied physiology (Bethesda, Md. : 1985), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Network integration and evolution of organ systems interactions during incremental exercise.European journal of applied physiology · 2026Article
- Networks of respiratory-muscular coupling in exercise and fatigue in young adults.Physiological reports · 2026Article
- The amplitude-amplitude cross-frequency coupling method: a step-by-step guide to quantifying physiological network interactions.Frontiers in network physiology · 2026Article
- Networks of intermuscular coordination distinguish male and female responses to exercise.Scientific reports · 2025Article
- Muscle Fiber Recruitment Characteristics in Trained Older Adults: An EMG Frequency Analysis During Voluntary Contraction.Journal of functional morphology and kinesiology · 2025Article
- Age-related breakdown in networks of inter-muscular coordination.GeroScience · 2025Article
- Case Report: network physiology markers of inter-muscular interactions indicate reversal of age decline with exercise training.Frontiers in network physiology · 2025Article
- Non-Invasive and Quantitative Evaluation for Disuse Muscle Atrophy Caused by Immobilization After Limb Fracture Based on Surface Electromyography Analysis.Diagnostics (Basel, Switzerland) · 2024Article
- Effect of Forearm Postures and Elbow Joint Angles on Elbow Flexion Torque and Mechanomyography in Neuromuscular Electrical Stimulation of the Biceps Brachii.Sensors (Basel, Switzerland) · 2023Article
- Dynamic networks of cortico-muscular interactions in sleep and neurodegenerative disorders.Frontiers in network physiology · 2023Article
- Case report: Cortico-ocular interaction networks in NBA2K.Frontiers in network physiology · 2023Article
- Cardiorespiratory Coordination in Collegiate Rowing: A Network Approach to Cardiorespiratory Exercise Testing.International journal of environmental research and public health · 2022Article
- Network Physiology of Exercise: Beyond Molecular and Omics Perspectives.Sports medicine - open · 2022Article
- Inter-muscular networks of synchronous muscle fiber activation.Frontiers in network physiology · 2022Article
- Editorial: Inference, Causality and Control in Networks of Dynamical Systems: Data Science and Modeling Perspectives to Network Physiology With Implications for Artificial Intelligence.Frontiers in physiology · 2022Article
- Effects of Acute Partial Sleep Deprivation and High-Intensity Interval Exercise on Postprandial Network Interactions.Frontiers in network physiology · 2022Article
- Is the Power Spectrum of Electromyography Signal a Feasible Tool to Estimate Muscle Fiber Composition in Patients with COPD?Journal of clinical medicine · 2021Article
- Cardiorespiratory Coordination During Exercise in Adults With Down Syndrome.Frontiers in physiology · 2021Article
- Network Physiology in Aging and Frailty: The Grand Challenge of Physiological Reserve in Older Adults.Frontiers in network physiology · 2021Article
- Using a Stacked Autoencoder for Mobility and Fall Risk AssessmentFrontiers in physiology · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
The skeletal muscle is an integrated multicomponent system with complex dynamics of continuous myoelectrical activation of various muscle types across time scales to facilitate muscle coordination among units and adaptation to physiological states. To understand the multiscale dynamics of neuromuscular activity, we investigated spectral characteristics of different muscle types across time scales and their evolution with physiological states. We hypothesized that each muscle type is characterized by a specific spectral profile, reflecting muscle composition and function, that remains invariant over time scales and is universal across subjects. Furthermore, we hypothesized that the myoelectrical activation and corresponding spectral profile during certain movements exhibit an evolution path in time that is unique for each muscle type and reflects responses in muscle dynamics to exercise, fatigue, and aging. To probe the multiscale mechanism of neuromuscular regulation, we developed a novel protocol of repeated squat exercise segments, each performed until exhaustion, and we analyzed differentiated spectral power responses over a range of frequency bands for leg and back muscle activation in young and old subjects. We found that leg and back muscle activation is characterized by muscle-specific spectral profiles, with differentiated frequency band contribution, and a muscle-specific evolution path in response to fatigue and aging that is universal across subjects in each age group. The uncovered universality among subjects in the spectral profile of each muscle at a given physiological state, as well as the robustness in the evolution of these profiles over a range of time scales and states, reveals a previously unrecognized multiscale mechanism underlying the differentiated response of distinct muscle types to exercise-induced fatigue and aging.
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