4.4 Article

Inter-muscular coordination during running on grass, concrete and treadmill

Journal

EUROPEAN JOURNAL OF APPLIED PHYSIOLOGY
Volume 123, Issue 3, Pages 561-572

Publisher

SPRINGER
DOI: 10.1007/s00421-022-05083-2

Keywords

Electromyography; Running; Muscle synergy; Concrete; Grass; Treadmill; Neuromuscular control; Inter-muscular coordination; Motor modules; Muscle synergies; Surfaces; Motor control

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This study investigated the impact of running surfaces on inter-muscular coordination during running. The results showed that running surface hardness had a certain influence on the similarity of muscle weightings, but no significant differences were found in weighting coefficients. There were no temporal differences in activation signals across running surfaces. However, the activation duration was significantly shorter for treadmill running compared to other surfaces.
Running is an exercise that can be performed in different environments that imposes distinct foot-floor interactions. For instance, running on grass may help reducing instantaneous vertical impact loading, while compromising natural speed. Inter-muscular coordination during running is an important factor to understand motor performance, but little is known regarding the impact of running surface hardness on inter-muscular coordination. Therefore, we investigated whether inter-muscular coordination during running is influenced by running surface. Surface electromyography (EMG) from 12 lower limb muscles were recorded from young male individuals (n = 9) while running on grass, concrete, and on a treadmill. Motor modules consisting of weighting coefficients and activation signals were extracted from the multi-muscle EMG datasets representing 50 consecutive running cycles using non-negative matrix factorization. We found that four motor modules were sufficient to represent the EMG from all running surfaces. The inter-subject similarity across muscle weightings was the lowest for running on grass (r = 0.76 +/- 0.11) compared to concrete (r = 0.81 +/- 0.07) and treadmill (r = 0.78 +/- 0.05), but no differences in weighting coefficients were found when analyzing the number of significantly active muscles and residual muscle weightings (p > 0.05). Statistical parametric mapping showed no temporal differences between activation signals across running surfaces (p > 0.05). However, the activation duration (% time above 15% peak activation) was significantly shorter for treadmill running compared to grass and concrete (p < 0.05). These results suggest predominantly similar neuromuscular strategies to control multiple muscles across different running surfaces. However, individual adjustments in inter-muscular coordination are required when coping with softer surfaces or the treadmill's moving belt.

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