scholarly journals Motor Unit Control Strategies Following Contralateral Repeated Bouts On Arm And Hand Muscles

2021 ◽  
Vol 53 (8S) ◽  
pp. 165-166
Author(s):  
Sunggun Jeon ◽  
William Miller ◽  
Jun Seob Song ◽  
Xin Ye
2020 ◽  
Vol 62 (2) ◽  
pp. 192-200 ◽  
Author(s):  
Mana Higashihara ◽  
Parvathi Menon ◽  
Mehdi Bos ◽  
Nathan Pavey ◽  
Steve Vucic

Author(s):  
S. Jayne Garland ◽  
Courtney L. Pollock ◽  
Tanya D. Ivanova

2021 ◽  
Vol 17 (3) ◽  
pp. e1008707
Author(s):  
Akira Nagamori ◽  
Christopher M. Laine ◽  
Gerald E. Loeb ◽  
Francisco J. Valero-Cuevas

Variability in muscle force is a hallmark of healthy and pathological human behavior. Predominant theories of sensorimotor control assume ‘motor noise’ leads to force variability and its ‘signal dependence’ (variability in muscle force whose amplitude increases with intensity of neural drive). Here, we demonstrate that the two proposed mechanisms for motor noise (i.e. the stochastic nature of motor unit discharge and unfused tetanic contraction) cannot account for the majority of force variability nor for its signal dependence. We do so by considering three previously underappreciated but physiologically important features of a population of motor units: 1) fusion of motor unit twitches, 2) coupling among motoneuron discharge rate, cross-bridge dynamics, and muscle mechanics, and 3) a series-elastic element to account for the aponeurosis and tendon. These results argue strongly against the idea that force variability and the resulting kinematic variability are generated primarily by ‘motor noise.’ Rather, they underscore the importance of variability arising from properties of control strategies embodied through distributed sensorimotor systems. As such, our study provides a critical path toward developing theories and models of sensorimotor control that provide a physiologically valid and clinically useful understanding of healthy and pathologic force variability.


2019 ◽  
Vol 130 (2) ◽  
pp. 315-319 ◽  
Author(s):  
René Günther ◽  
Christoph Neuwirth ◽  
Jan Christoph Koch ◽  
Paul Lingor ◽  
Nathalie Braun ◽  
...  

2005 ◽  
Vol 94 (1) ◽  
pp. 206-218 ◽  
Author(s):  
Jamie A. Johnston ◽  
Sara A. Winges ◽  
Marco Santello

We recently examined the extent to which motor units of digit flexor muscles receive common input during multidigit grasping. This task elicited moderate to strong motor-unit synchrony (common input strength, CIS) across muscles (flexor digitorum profundus, FDP, and flexor pollicis longus, FPL) and across FDP muscle compartments, although the strength of this common input was not uniform across digit pairs. To further characterize the neural mechanisms underlying the control of multidigit grasping, we analyzed the relationship between firing of single motor units from these hand muscles in the frequency domain by computing coherence. We report three primary findings. First, in contrast to what has been reported in intrinsic hand muscles, motor units belonging to different muscles and muscle compartments of extrinsic digit flexors exhibited significant coherence in the 0- to 5- and 5- to 10-Hz frequency ranges and much weaker coherence in the higher 10–20 Hz range (maximum 0.0025 and 0.0008, respectively, pooled across all FDP compartment pairs). Second, the strength and incidence of coherence differed considerably across digit pairs. Third, contrary to what has been reported in the literature, across-muscle coherence can be stronger and more prevalent than within-muscle coherence, as FPL–FDP2 (thumb-index digit pair) exhibited the strongest and most prevalent coherence in our data (0.010 and 43% at 3 Hz, respectively). The heterogeneous organization of common input to these muscles and muscle compartments is discussed in relation to the functional role of individual digit pairs in the coordination of multiple digit forces in grasping.


2015 ◽  
Vol 52 (5) ◽  
pp. 832-843 ◽  
Author(s):  
Trent J. Herda ◽  
Jacob A. Siedlik ◽  
Michael A. Trevino ◽  
Michael A. Cooper ◽  
Joseph P. Weir

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