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Inaugural Review Prize 2023: The exercise hyperpnoea dilemma: A 21st-century perspective
Joseph F Welch1, Gordon S Mitchell2
1School of Sport, Exercise and Rehabilitation Sciences, College of Life and Environmental Sciences, University of Birmingham, Edgbaston, Birmingham, UK.
Experimental Physiology
|March 29, 2024
Summary
The exercise hyperpnoea dilemma remains unsolved. This review proposes the cerebellum
Area of Science:
- Neuroscience
- Respiratory Physiology
- Exercise Physiology
Background:
- Alveolar ventilation proportionally increases with metabolic rate during exercise, maintaining arterial CO2 homeostasis.
- The precise mechanisms driving exercise hyperpnoea have been debated for over a century.
- Recent neuroscience advancements offer new avenues for understanding respiratory control during physical activity.
Purpose of the Study:
- To review the ventilatory control system and the challenges posed by exercise.
- To explore novel hypotheses regarding the adaptive control of breathing during exercise.
- To propose the cerebellum as a potential site for encoding exercise ventilatory responses.
Main Methods:
- Review of existing literature on respiratory control, exercise physiology, and neuroscience.
- Discussion of feedforward, feedback, and adaptive control mechanisms in breathing.
- Exploration of cerebellar function in motor learning and its potential role in respiratory adaptation.
Main Results:
- The exercise ventilatory response may involve continuous adaptation and learning throughout life.
- The cerebellum's role in motor learning and its connections to respiratory centers suggest a potential role.
- Cerebellar microcircuits could encode the feedforward stimulus for exercise hyperpnoea.
Conclusions:
- Cerebellar learning may be crucial for accurate and adaptable respiratory adjustments during exercise.
- Investigating cerebellar microcircuits using techniques like optogenetics could elucidate exercise hyperpnoea mechanisms.
- Reframing the exercise hyperpnoea dilemma through a neuroscientific lens is essential for resolution.
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