Enhancing endurance performance with combined imagined and actual physical practice Article Swipe
Robin Souron
,
Benjamin Pageaux
,
Nathan Grosboillot
,
Aymeric Guillot
,
Mathieu Gruet
,
Mathilde Fiona Bertrand
,
Guillaume Y. Millet
,
Thomas Lapole
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.31234/osf.io/pcg68
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.31234/osf.io/pcg68
Endurance sports require the sustained maintenance of high effort until the point of task failure. Psychological factors, particularly the perception of effort, exert considerable influence in determining task failure. Training interventions that blend physical and cognitive tasks yielded promising results in enhancing endurance performance. Motor imagery stands out as a method capable of modulating the perception of effort. However, the precise extent to which combining motor imagery and physical training can improve endurance performance remains to be understood. In a pre-post training design, this study aimed to investigate the impact of combining motor imagery with physical training on endurance performance, compared to physical training alone. Two groups of participants were constituted (motor imagery: n = 16; control: n = 17). Both groups performed physical exercises (i.e. isometric wall squat of incremental duration, with 12 training sessions over a period of 14 days), with participants from the motor imagery group also performing motor imagery sessions. Each participant visited the laboratory for experimental procedures twice before and twice after training, during which we assessed endurance performance through a sustained submaximal isometric contraction of the right knee extensors performed until task failure (time to task failure, TTF) at either 20 or 40% of the maximal voluntary contraction. Perceptions of effort and muscle pain were measured regularly during the endurance exercise. We reported no changes in endurance performance for the control group. Endurance performance in the motor imagery group exhibited significant improvements when the intensity of the sustained isometric TTF test closely matched that used in training (i.e. 20% of MVC). However, these enhancements were less pronounced when considering higher exercise intensities (i.e. 40% of MVC). No reduction in perception of effort was observed in both groups. There was a noticeable decrease in muscle pain perception within the motor imagery group following the training. Overall, combining motor imagery and physical training may thus offer a promising avenue for enhancing endurance performance and managing pain in various contexts, from sports to clinical rehabilitation.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.31234/osf.io/pcg68
- https://osf.io/pcg68/download
- OA Status
- gold
- Cited By
- 1
- References
- 66
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4387405476
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4387405476Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.31234/osf.io/pcg68Digital Object Identifier
- Title
-
Enhancing endurance performance with combined imagined and actual physical practiceWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-10-05Full publication date if available
- Authors
-
Robin Souron, Benjamin Pageaux, Nathan Grosboillot, Aymeric Guillot, Mathieu Gruet, Mathilde Fiona Bertrand, Guillaume Y. Millet, Thomas LapoleList of authors in order
- Landing page
-
https://doi.org/10.31234/osf.io/pcg68Publisher landing page
- PDF URL
-
https://osf.io/pcg68/downloadDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://osf.io/pcg68/downloadDirect OA link when available
- Concepts
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Isometric exercise, Motor imagery, Endurance training, Physical medicine and rehabilitation, Task (project management), Perception, Psychology, Physical therapy, Squat, Medicine, Engineering, Psychiatry, Electroencephalography, Systems engineering, Brain–computer interface, NeuroscienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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66Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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