ArticleScientific reports2017
In Vivo Neuromechanics: Decoding Causal Motor Neuron Behavior with Resulting Musculoskeletal Function.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed, 88 citations in OpenAlex.
- Volitional control of wearable robots.Nature communications · 2026Article
- Development and Validation of an Automated Pipeline for Motor Unit Analysis from HD-sEMG Signals.Sensors (Basel, Switzerland) · 2026Article
- 3D Fiber-Reinforced Forward Musculoskeletal Modeling of the Lower Limb Using HD-sEMG and CFD-FE Coupling.Annals of biomedical engineering · 2026Article
- Article
- Matching dynamically varying forces with multi-motor-unit muscle models: a simulation study.Royal Society open science · 2025Article
- Multi-scale modeling and simulation of skeletal muscles with different fatigue degrees based on microphysiology.Scientific reports · 2025Article
- Potentiation of Motor Adaptation Via Cerebellar tACS: Characterization of the Stimulation Frequency.Cerebellum (London, England) · 2024Article
- Neural-driven activation of 3D muscle within a finite element framework: exploring applications in healthy and neurodegenerative simulations.Computer methods in biomechanics and biomedical engineering · 2024Article
- Spinal maps of motoneuron activity during human locomotion: neuromechanical considerations.Frontiers in physiology · 2024Review
- Multi-branch deep learning neural network prediction model for the development of angular biosensors based on sEMG.Frontiers in bioengineering and biotechnology · 2024Article
- Motoneuron-driven computational muscle modelling with motor unit resolution and subject-specific musculoskeletal anatomy.PLoS computational biology · 2023Article
- Regional Hypertrophy: The Effect of Exercises at Long and Short Muscle Lengths in Recreationally Trained Women.Journal of human kinetics · 2023Article
- Modelling motor units in 3D: influence on muscle contraction and joint force via a proof of concept simulation.Biomechanics and modeling in mechanobiology · 2023Article
- Linking cortex and contraction-Integrating models along the corticomuscular pathway.Frontiers in physiology · 2023Article
- Estimation of the firing behaviour of a complete motoneuron pool by combining electromyography signal decomposition and realistic motoneuron modelling.PLoS computational biology · 2022Article
- Integration of neural architecture within a finite element framework for improved neuromusculoskeletal modeling.Scientific reports · 2021Article
- Myoelectric control of robotic lower limb prostheses: a review of electromyography interfaces, control paradigms, challenges and future directions.Journal of neural engineering · 2021Review
- Adaptation Strategies for Personalized Gait Neuroprosthetics.Frontiers in neurorobotics · 2021Article
- Editorial: Somatosensory Integration in Human Movement: Perspectives for Neuromechanics, Modelling and Rehabilitation.Frontiers in bioengineering and biotechnology · 2021Article
- The Sensor-Based Biomechanical Risk Assessment at the Base of the Need for Revising of Standards for Human Ergonomics.Sensors (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
3 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Human motor function emerges from the interaction between the neuromuscular and the musculoskeletal systems. Despite the knowledge of the mechanisms underlying neural and mechanical functions, there is no relevant understanding of the neuro-mechanical interplay in the neuro-musculo-skeletal system. This currently represents the major challenge to the understanding of human movement. We address this challenge by proposing a paradigm for investigating spinal motor neuron contribution to skeletal joint mechanical function in the intact human in vivo. We employ multi-muscle spatial sampling and deconvolution of high-density fiber electrical activity to decode accurate α-motor neuron discharges across five lumbosacral segments in the human spinal cord. We use complete α-motor neuron discharge series to drive forward subject-specific models of the musculoskeletal system in open-loop with no corrective feedback. We perform validation tests where mechanical moments are estimated with no knowledge of reference data over unseen conditions. This enables accurate blinded estimation of ankle function purely from motor neuron information. Remarkably, this enables observing causal associations between spinal motor neuron activity and joint moment control. We provide a new class of neural data-driven musculoskeletal modeling formulations for bridging between movement neural and mechanical levels in vivo with implications for understanding motor physiology, pathology, and recovery.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.