In Journal of neurophysiology ; h5-index 46.0
Changes in the discharge characteristics of motor units as well as in the maximum force producing capacity of the muscle are observed following training, aging, and fatiguability. The ability to measure the adaptations in the neuromuscular properties underlying these changes experimentally, however, is limited. In this study we used a computational model to systematically investigate the effects of various neural and muscular adaptations on motor unit recruitment thresholds, average motor unit discharge rates in submaximal contractions, and maximum force. The primary focus was to identify candidate adaptations that can explain experimentally observed changes in motor unit discharge characteristics after 4 weeks of strength training (Del Vecchio et al. 2019). The simulation results indicated that multiple combinations of adaptations, likely involving an increase in maximum discharge rate across motor units, may occur following such training. On a more general level, we found that the magnitude of the adaptations scale linearly with the change in recruitment thresholds, discharge rates and maximum force. In addition, the combination of multiple adaptations can be predicted as the linear sum of their individual effects. Together, this implies that the outcomes of the simulations can be generalized to predict the effect of any combination of neural and muscular adaptations. In this way, the study provides a tool for estimating potential underlying adaptations in neural and muscular properties to explain any change in commonly used measures of rate coding, recruitment, and maximum force.
Dideriksen Jakob, Del Vecchio Alessandro
2022-Dec-14
Computational model, Neuromuscular adaptations, motor unit
