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From catastrophe to complexity: a novel model of integrative central neural regulation of effort and fatigue during exercise in humans: summary and conclusions
Open accessAbstract
It is hypothesised that physical activity is controlled by a central governor in the brain and that the human body functions as a complex system during exercise. Using feed forward control in response to afferent feedback from different physiological systems, the extent of skeletal muscle recruitment is controlled as part of a continuously altering pacing strategy, with the sensation of fatigue being the conscious interpretation of these homoeostatic, central governor control mechanisms.
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Cited by
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Dishman, R. K., Berthoud, H., Booth, F. W., Cotman, C. W., Edgerton, V. R., Fleshner, M. R., Gandevia, S. C., Gomez‐Pinilla, F., Greenwood, B. N., Hillman, C. H., et al. (2006) · Obesity · doi:10.1038/oby.2006.46 · Cited by 958
Hudson, G. M., Green, J. M., Bishop, P. A., & Richardson, M. T. (2008) · Journal of Strength and Conditioning Research · doi:10.1519/jsc.0b013e31818219cb · Cited by 94
Periodization of carbohydrate intake: short-term effect on performance
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Metadata
- Authors
- Noakes, T. D., St Clair Gibson, A., & Lambert, E. V.
- Venue
- British Journal of Sports Medicine
- Publisher
- BMJ
- Published
- 2005-01-21
- Volume
- 39
- Issue
- 2
- Pages
- 120-124
- ISSN
- 0306-3674 (ISSN-L)
- 1473-0480
- OpenAlex
- W2115554895
- Cited by
- 542
- References
- 0
- FWCI
- 51.70
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Noakes, T. D., St Clair Gibson, A., & Lambert, E. V. (2005). From catastrophe to complexity: a novel model of integrative central neural regulation of effort and fatigue during exercise in humans: summary and conclusions. British Journal of Sports Medicine. https://doi.org/10.1136/bjsm.2003.010330
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
