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Francesco Negro

Francesco Negro

D-Index & Metrics

Neuroscience

D-Index
46
Citations
8122
World Ranking
6695
National Ranking
344

Overview

Francesco Negro is affiliated with the University of Brescia in Italy and has contributed extensively to the fields of neuroscience, engineering, and medicine. Their research focuses primarily on biomedical engineering, cognitive neuroscience, and cellular and molecular neuroscience, with additional work related to neurology and orthopedics and sports medicine.

Francesco Negro's research topics cover a broad range of areas including muscle activation and electromyography studies, motor control and adaptation, EEG and brain-computer interfaces, neuroscience and neural engineering, transcranial magnetic stimulation studies, sports performance and training, and advanced sensor and energy harvesting materials. The volume of publications in these topics reflects a multifaceted approach to understanding neural and muscular function.

The scientist has published frequently in several academic venues, with the most common being bioRxiv (Cold Spring Harbor Laboratory), The Journal of Physiology, Journal of Neurophysiology, Journal of Electromyography and Kinesiology, and Journal of Applied Physiology.

Frequent co-authors of Francesco Negro include:

  • Eduardo Martinez-Valdes
  • Hélio V. Cabral
  • C. J. Heckman
  • Claudio Orizio
  • Alessandro Cudicio

Selected recent papers by Francesco Negro include:

  • Estimation of self-sustained activity produced by persistent inward currents using firing rate profiles of multiple motor units in humans, 2020, Journal of Neurophysiology
  • Divergent response of low- versus high-threshold motor units to experimental muscle pain, 2020, The Journal of Physiology
  • Estimates of persistent inward currents are reduced in upper limb motor units of older adults, 2021, The Journal of Physiology
  • Neural control of matched motor units during muscle shortening and lengthening at increasing velocities, 2021, Journal of Applied Physiology
  • Neuro-Musculoskeletal Mapping for Man-Machine Interfacing, 2020, Scientific Reports

Best Publications

  • Multi-channel intramuscular and surface EMG decomposition by convolutive blind source separation.

    Francesco Negro;Silvia Muceli;Anna Margherita Castronovo;Ales Holobar

  • The increase in muscle force after 4 weeks of strength training is mediated by adaptations in motor unit recruitment and rate coding

    Alessandro Del Vecchio;Alessandro Del Vecchio;Andrea Casolo;Andrea Casolo;Francesco Negro;Matteo Scorcelletti

  • Man/machine interface based on the discharge timings of spinal motor neurons after targeted muscle reinnervation

    Dario Farina;Dario Farina;Ivan Vujaklija;Ivan Vujaklija;Massimo Sartori;Tamás Kapelner

  • Fluctuations in isometric muscle force can be described by one linear projection of low-frequency components of motor unit discharge rates.

    Francesco Negro;Aleš Holobar;Aleš Holobar;Dario Farina

  • You are as fast as your motor neurons: speed of recruitment and maximal discharge of motor neurons determine the maximal rate of force development in humans

    Alessandro Del Vecchio;Alessandro Del Vecchio;Francesco Negro;Ales Holobar;Andrea Casolo;Andrea Casolo

  • Common synaptic input to motor neurons, motor unit synchronization, and force control.

    Dario Farina;Francesco Negro

  • Experimental Analysis of Accuracy in the Identification of Motor Unit Spike Trains From High-Density Surface EMG

    Aleş Holobar;Marco Alessandro Minetto;Alberto Botter;Francesco Negro

  • The effective neural drive to muscles is the common synaptic input to motor neurons

    Dario Farina;Francesco Negro;Jakob Lund Dideriksen

  • Principles of Motor Unit Physiology Evolve With Advances in Technology

    Dario Farina;Francesco Negro;Silvia Muceli;Roger M. Enoka

  • Tracking motor units longitudinally across experimental sessions with high-density surface electromyography.

    E. Martinez-Valdes;F. Negro;F. Negro;C. M. Laine;D. Falla

  • Spatial Correlation of High Density EMG Signals Provides Features Robust to Electrode Number and Shift in Pattern Recognition for Myocontrol

    Antonietta Stango;Francesco Negro;Dario Farina

  • Motor unit recruitment strategies and muscle properties determine the influence of synaptic noise on force steadiness.

    Jakob L. Dideriksen;Francesco Negro;Roger M. Enoka;Dario Farina

  • Detecting the Unique Representation of Motor-Unit Action Potentials in the Surface Electromyogram

    Dario Farina;Francesco Negro;Marco Gazzoni;Roger M. Enoka

  • Associations between Motor Unit Action Potential Parameters and Surface EMG Features

    Alessandro Del Vecchio;Alessandro Del Vecchio;Francesco Negro;Francesco Felici;Dario Farina

  • Linear transmission of cortical oscillations to the neural drive to muscles is mediated by common projections to populations of motoneurons in humans

    Francesco Negro;Francesco Negro;Dario Farina;Dario Farina

  • Accessing the Neural Drive to Muscle and Translation to Neurorehabilitation Technologies

    D. Farina;F. Negro

  • Identification of common synaptic inputs to motor neurons from the rectified electromyogram.

    Dario Farina;Francesco Negro;Ning Jiang

  • Surface EMG amplitude does not identify differences in neural drive to synergistic muscles

    Eduardo Martinez-Valdes;Eduardo Martinez-Valdes;Eduardo Martinez-Valdes;Francesco Negro;Deborah Falla;Alessandro Marco De Nunzio

  • Robust and accurate decoding of motoneuron behaviour and prediction of the resulting force output

    Christopher K. Thompson;Francesco Negro;Michael D. Johnson;Matthew R. Holmes

  • The proportion of common synaptic input to motor neurons increases with an increase in net excitatory input

    Anna Margherita Castronovo;Francesco Negro;Silvia Conforto;Dario Farina

  • The human motor neuron pools receive a dominant slow-varying common synaptic input.

    Francesco Negro;Utku Suekrue Yavuz;Dario Farina

Frequent Co-Authors

Dario Farina
Dario Farina Imperial College London
Charles J. Heckman
Charles J. Heckman Northwestern University
Brian D. Schmit
Brian D. Schmit Marquette University
Kemal S. Türker
Kemal S. Türker Istanbul Gelişim University
Mario Manto
Mario Manto University of Mons
Randall K. Powers
Randall K. Powers University of Washington
Simon C. Gandevia
Simon C. Gandevia Neuroscience Research Australia
Monica A. Gorassini
Monica A. Gorassini University of Alberta
Lars Arendt-Nielsen
Lars Arendt-Nielsen Aalborg University
Romeo Chua
Romeo Chua University of British Columbia

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