Francesco Negro

The paper compares neural coupling in motor units during index finger flexion and precision pinch tasks, finding stronger nonlinear coupling during pinch.

This paper develops a method to assess neural control of shoulder muscles using HDsEMG and robotic arm data, revealing task-specific activation patterns and motor unit behavior.

This study examines how varying rectus femoris length affects motor unit discharge rates in vasti muscles during isometric contractions, finding increased discharge rates at low force but not high force.

This study uses HDsEMG to show that corticospinal transmission during rTMS is bandpass-like, with strongest transmission between 20-50 Hz and frequency-specific synaptic input increases.

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.

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.

This study examines motor unit discharge rates in hand muscles during different tasks, finding task- and muscle-specific rate coding patterns.

This study evaluates how different types of noise affect motor unit decomposition using HD-sEMG, finding that global noise severely impacts results while localized noise has minimal effects.

This study evaluates how signal degradation affects motor-unit-based gesture recognition using HMI, finding that LDA and DNN perform differently under noise and spatial perturbations.

This study compares motor unit properties in proximal and distal regions of the biceps femoris long head during isometric tasks, finding greater distal activation due to action potential characteristics, not central modulation.

The paper examines how common synaptic inputs to spinal motor neurons change during grasping versus less functional hand tasks, finding reduced alpha band coherence and improved force steadiness during grasping.

This study evaluates how different noises affect a DNN-based gesture recognition system using HD-sEMG, finding that feature type and noise type influence performance degradation.

This study evaluates the metabolic demand of e-bike riding at different intensities and finds that e-bike assistance reduces metabolic demand below the threshold for cardiorespiratory benefits.

This study examines changes in motor unit conduction velocity after unilateral lower limb suspension and active recovery, finding that ion channel gene expression, particularly K+ transporters, correlates with these changes.

The paper uses PCA and FA to show a single low-dimensional motor unit component explains most force oscillations during repetitive isometric tasks.

This study examines how voluntary co-contraction of ankle muscles affects motor unit discharge and reduces persistent inward currents (PICs) in motoneurons.

This study shows that short-term skill acquisition in a force-matching task involves reduced alpha band neural oscillations and increased coupling between force and target oscillations.

This study examines how muscle length affects synaptic oscillations and force output in motor neurons, finding reduced alpha band oscillations with increased muscle length.

This study develops an adaptive real-time algorithm for decoding motor unit activity from HD-sEMG and shows it outperforms static methods under changing contraction conditions.

This study uses computational modeling to show that hyperpolarization-activated inward currents (h-currents) can facilitate postinhibitory excitation in human motoneurons.

The paper identifies Err2 and Err3 as transcription factors promoting functional properties in gamma motor neurons essential for proprioceptive movement control.

The paper quantifies sex differences in motor unit discharge rates and persistent inward current estimates in human lower limb muscles, finding higher {Delta}F in females.

This study shows that sensory and corticospinal pathways facilitate, rather than inhibit, sensory feedback in humans by activating nodal GABAA receptors on Ia-afferents.

This study evaluates how different computational parameters affect the {Delta}F technique for estimating motoneuron excitability using paired motor unit analysis.