ArticlePLoS computational biology2018
Cardinal features of involuntary force variability can arise from the closed-loop control of viscoelastic afferented muscles.
Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 23 citations in OpenAlex.
- Computing muscle mechanical state variables from combined proprioceptive sensory feedback.Experimental physiology · 2025Article
- Feedback parameters for a closed-loop multiple-input multiple-output model of the upper limb.PLoS computational biology · 2025Article
- A computational study of how an α- to γ-motoneurone collateral can mitigate velocity-dependent stretch reflexes during voluntary movement.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- An alpha- to gamma-motoneurone collateral can mitigate velocity-dependent stretch reflexes during voluntary movement: A computational study.bioRxiv : the preprint server for biology · 2024Article
- Reference Values of the Forearm Tremor Power Spectra for Youth Athletes.Journal of human kinetics · 2023Article
- Numerical instability of Hill-type muscle models.Journal of the Royal Society, Interface · 2023Review
- Neuromuscular control: from a biomechanist's perspective.Frontiers in sports and active living · 2023Review
- Establishing Task-Relevant MVC Protocols for Modelling Sustained Isometric Force Variability: A Manual Control Study.Journal of functional morphology and kinesiology · 2021Article
- Force variability is mostly not motor noise: Theoretical implications for motor control.PLoS computational biology · 2021Article
- Fatigue-related modulation of low-frequency common drive to motor units.European journal of applied physiology · 2020Article
- Parkinson's Disease Exhibits Amplified Intermuscular Coherence During Dynamic Voluntary Action.Frontiers in neurology · 2020Article
- Sinusoidal vibrotactile stimulation differentially improves force steadiness depending on contraction intensity.Medical & biological engineering & computing · 2019Article
- Influence of age on motor control accuracy during static ramp contractions.Experimental brain research · 2019Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Involuntary force variability below 15 Hz arises from, and is influenced by, many factors including descending neural drive, proprioceptive feedback, and mechanical properties of muscles and tendons. However, their potential interactions that give rise to the well-structured spectrum of involuntary force variability are not well understood due to a lack of experimental techniques. Here, we investigated the generation, modulation, and interactions among different sources of force variability using a physiologically-grounded closed-loop simulation of an afferented muscle model. The closed-loop simulation included a musculotendon model, muscle spindle, Golgi tendon organ (GTO), and a tracking controller which enabled target-guided force tracking. We demonstrate that closed-loop control of an afferented musculotendon suffices to replicate and explain surprisingly many cardinal features of involuntary force variability. Specifically, we present 1) a potential origin of low-frequency force variability associated with co-modulation of motor unit firing rates (i.e.,'common drive'), 2) an in-depth characterization of how proprioceptive feedback pathways suffice to generate 5-12 Hz physiological tremor, and 3) evidence that modulation of those feedback pathways (i.e., presynaptic inhibition of Ia and Ib afferents, and spindle sensitivity via fusimotor drive) influence the full spectrum of force variability. These results highlight the previously underestimated importance of closed-loop neuromechanical interactions in explaining involuntary force variability during voluntary 'isometric' force control. Furthermore, these results provide the basis for a unifying theory that relates spinal circuitry to various manifestations of altered involuntary force variability in fatigue, aging and neurological disease.
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