Opposite effects of a time-trial and endurance cycling exercise on the neural efficiency of competitive cyclists
(Gegensätzliche Auswirkungen eines Zeitfahr- und eines Ausdauertrainings auf die neuronale Leistungsfähigkeit von Radrennfahrern)
Purpose
Time-trial require cyclists to have an acute control on their sensory cues to regulate their pacing strategies. Pacing an effort accurately requires an individual to process sensory signals with efficacy, a factor that can be characterized by a high neural efficiency. This study aimed to investigate the effect of a cycling time-trial on neural efficiency in comparison to a low intensity endurance exercise, the latter supposedly not requiring high sensory control.
Methods
On two separate days, 13 competitive cyclists performed a session comprising of two 10 min treadmill tests, performed at different intensity zones from 1 to 5 on the rating subjective exercise intensity scale. The tests were performed before and after both a time-trial and endurance cycling exercise. Electroencephalography activity was measured during each intensity zones of the treadmill exercises. Neural efficiency was then calculated for each intensity block using the a/ß electroencephalography activity ratio.
Results
The neural efficiency averaged on the 5 IZ decreased following the time-trial in the motor cortex (- 13 ± 8%) and prefrontal cortex (- 10 ± 12%), but not after the endurance exercise.
Conclusion
To conclude, the time-trial impaired the neural efficiency and increasing the RPE of the cyclists in the severe intensity zone.
© Copyright 2023 European Journal of Applied Physiology. Springer. Alle Rechte vorbehalten.
Schlagworte: | Radsport Neurophysiologie neuromuskulär Trainingsmethode EEG RPE Leistungsfähigkeit |
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Notationen: | Ausdauersportarten Trainingswissenschaft |
Tagging: | Zeitfahren |
DOI: | 10.1007/s00421-023-05216-1 |
Veröffentlicht in: | European Journal of Applied Physiology |
Veröffentlicht: |
2023
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Jahrgang: | 123 |
Heft: | 9 |
Seiten: | 1991-2000 |
Dokumentenarten: | Artikel |
Sprache: | Englisch |
Level: | hoch |