Muscle activation and electromyography studies

Inertial effects on work production in sub-maximally activated skeletal muscle

The paper tests if inactive muscle mass imposes an inertial penalty on work during submaximal contractions in rat plantaris muscles, finding no significant reduction in work beyond that explained by decreased fascicle strain.

Reinnervation of Muscle Targets Enhances the Separability of Motor Unit Signals Following Peripheral Nerve Transfers

This study shows that reinnervating muscle targets after nerve transfers increases motor unit signal separability, improving prosthetic control through better signal decomposition.

Differential changes in the effective neural drive following new motor skill acquisition between vastus lateralis and medialis

The paper examines changes in neural drive during motor skill acquisition, finding reduced alpha band common synaptic oscillations correlate with performance improvements in vastus lateralis but not vastus medialis.

Reduction in Ia afferent input via ischaemia alters motor unit discharge characteristics and estimates of persistent inward currents

The paper examines how ischaemic nerve block reducing Ia afferent input affects motor unit discharge characteristics and persistent inward currents in the tibialis anterior muscle.

Effects of muscle mass on muscle force predictions in human movement

Adding distributed muscle mass to 1D Hill-type models alters predicted human leg-muscle forces by under 1% at natural size; differences grow with scale and cadence.

Spinal Mechanisms in Post-Activation Potentiation: Facilitation of Presynaptic Inhibition Contrasts H-Reflex Amplitude Reduction

This study examines spinal mechanisms in post-activation potentiation, finding reduced H-reflex amplitude alongside increased presynaptic inhibition and facilitation.

MMH: A multimodal dataset of whole-body kinematics, bilateral ground reaction forces, and lower-limb surface electromyography signals during load lifting and lowering

The paper introduces the MMH dataset, which includes kinematic, force, and sEMG data from load lifting and lowering tasks to support musculoskeletal modeling and ergonomic risk assessment.

Voluntary Dissociation of Motor Unit Activity in the Vastii Muscles

The paper shows that humans can dissociate motor unit activation between proximal vastus medialis and vastus lateralis during isometric contractions, but not in distal regions.

Spinal Motor Neuron Pools May be Partly Driven by Impulsive Common Inputs

This study shows that spinal motor neurons receive impulsive common inputs (iCI) that synchronize their activity and affect the transmission of continuous common inputs (cCI).

How muscle ageing affects rapid goal-directed movement: mechanistic insights from a simple model

This paper uses a simplified muscle model to show how aging-related changes in muscle properties affect movement performance in goal-directed tasks.

Rigid Control of Motor Unit Firing Rates in the Human Tibialis Anterior Muscle Persists during Neurofeedback

This study investigates whether human participants can voluntarily modulate motor unit firing rates in the tibialis anterior muscle during neurofeedback, finding limited flexibility consistent with rigid control.

Automated Extraction and Meta-Analysis of a Century of Motor-Unit Research with NeuromechaniX

NeuromechaniX automates extraction and meta-analysis of motor-unit research, revealing muscle-specific discharge rate differences and sex-based variations.

Machine-Learning Classification of Motor Unit Types in the Adult Mouse

This study uses machine learning to classify motor unit types in adult mice based on electrophysiological properties, identifying four distinct types with high predictive accuracy.

State- and Identity-Dependent Motor Neuron Excitability Shapes Cutaneous Long-Latency Reflexes

The paper investigates how motor neuron excitability and identity affect cutaneous reflexes by analyzing individual motor unit responses during isometric contraction.

High-frequency common inputs entrain motoneuron subpopulations differently

The paper shows that high-frequency common inputs affect motoneuron subpopulations differently, revealing frequency-dependent synchronization masked in whole-pool analyses.

Limb Position Effect in Myoelectric Control: Strategies for Optimisation and Standardisation

This study develops an open-source device to standardize myoelectric control experiments and shows that training with multiple positions and kinematic data improves classifier accuracy.

Neuromuscular Signals Shape Fatigue and Effort-Based Decision-Making in Humans

This study investigates how neuromuscular signals affect fatigue and effort-based decision-making in humans through controlled biofeedback conditions.

A PRISMA-guided systematic review of musculoskeletal modelling approaches in lower-limb cycling biomechanics

This review systematically evaluates musculoskeletal simulation practices in lower-limb cycling biomechanics, identifying inconsistencies in reporting, validation, and participant diversity.

Neuromuscular Basis of Kinematic Adaptations During Bidirectional Walking

This study examines muscle activation patterns during bidirectional walking and finds that while rhythm generation remains stable, pattern formation changes with adaptive adjustments in activation timing and amplitude.

The variability of reflex amplitude estimates in motor unit pools depends on the phenotype distribution and discharge statistics

This study investigates how variability in reflex amplitude estimates of motor units depends on discharge statistics and estimation methods, finding that PSF-based estimates better capture MN heterogeneity.

Competing Effects of Agonist and Antagonist Vibration on the Proprioceptive Sense of Force

This study shows that antagonist muscle vibration reduces torque and motor unit firing rates during force reproduction, suggesting a role for persistent inward currents in proprioceptive force sensing.

Estimating Gait Kinematics from Muscle Activity Using Deep Learning in Typically Developing Children

This study uses a 1D U-Net to estimate ankle and knee joint angles from sEMG signals in children, showing improved accuracy with age and stability during gait transitions.

Post activation potentiation is greater in human triceps brachii versus triceps surae muscles

This study compares post activation potentiation (PAP) in human triceps brachii and triceps surae muscles, finding greater PAP in fast twitch triceps brachii.

Isometric handgrip contraction increases tibialis anterior intrinsic motoneuron excitability in a dose-dependent manner

The paper investigates how different handgrip contraction conditions affect intrinsic motoneuron excitability in the tibialis anterior, finding that impulse-dependent increases in persistent inward currents occur.

Independent directional tuning of the human triceps surae muscles during standing postural control

The paper investigates how individual triceps surae muscles are independently controlled during standing balance tasks using high-density EMG and COP movement analysis.

Musculoskeletal design of the human shoulder: implications for neuromuscular control

This study uses biomechanical modeling to explore musculoskeletal redundancy and control strategies in the human shoulder, revealing differences in redundancy among muscle groups and the range of possible activation patterns.

EMG-to-torque models for exoskeleton assistance: a framework for the evaluation of in situ calibration

This paper introduces a framework for calibrating and evaluating EMG-to-torque models, including a novel nonlinear model that improves accuracy while maintaining computational efficiency.

Distinct neural input strategies to motor units in the soleus and medial gastrocnemius during quiet standing

This study compares neural input strategies to motor units in the soleus and medial gastrocnemius during standing, finding distinct patterns of common synaptic input and synchrony.

Enabling Skilled Human-Computer Interaction After Paralysis via a Wearable sEMG Interface

People with tetraplegia used a wristband sensor to detect forearm motor unit firing and perform human-computer interaction tasks.

High performance sorting of motor unit action potentials with EMUsort

EMUsort improves MUAP spike sorting accuracy by addressing challenges like long delays, complex waveforms, and high overlap in motor unit recordings.