Physical and cognitive contributions to fatigue perception: The interplay between local muscle fatigue and sensory prediction error

Fatigue perception during exercise arises from complex body-brain interactions, but integration of local muscle fatigue with sensory prediction errors remains unclear. Traditional cognitive frameworks overlook dynamic physiological contributions. This study examined how local muscle fatigue and prediction errors jointly shape fatigue perception across spatial-temporal domains. Two experiments used naturalistic running with physiological monitoring, inducing temporal and spatial prediction errors by manipulating performance feedback. Computational models quantified contributions of muscle fatigue, prediction errors, and their interactions. Results showed fatigue perception is driven by both muscle fatigue and prediction errors, with domain-specific interactions: temporal errors linearly amplified muscle fatigue's impact, while spatial errors modulated it exponentially. These findings challenge purely cognitive models, demonstrating that fatigue perception emerges from domain-dependent integration of physiological signals and sensory discrepancies. The study provides a unified computational framework for body-brain interactions in fatigue, offering insights for personalized training and rehabilitation targeting both physical and cognitive fatigue pathways.

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Publication Details

Journal
iScience
Published
2026-04-01
DOI
https://doi.org/10.1016/j.isci.2026.115552
Primary Topic
Motor Control and Adaptation
Type
article
Field-Weighted Citation Impact
0.00

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article

Physical and cognitive contributions to fatigue perception: The interplay between local muscle fatigue and sensory prediction error

Baichun Wei, Zihang Xu, Chunzhi Yi, Shuqing Chen et al.
iScience
Motor Control and Adaptation
article

Physical and cognitive contributions to fatigue perception: The interplay between local muscle fatigue and sensory prediction error

Baichun Wei, Zihang Xu, Chunzhi Yi, Shuqing Chen, Chunyu Zhang, Haiqi Zhu, Zhiyuan Chen, Chifu Yang
article en

Abstract

Fatigue perception during exercise arises from complex body-brain interactions, but integration of local muscle fatigue with sensory prediction errors remains unclear. Traditional cognitive frameworks overlook dynamic physiological contributions. This study examined how local muscle fatigue and prediction errors jointly shape fatigue perception across spatial-temporal domains. Two experiments used naturalistic running with physiological monitoring, inducing temporal and spatial prediction errors by manipulating performance feedback. Computational models quantified contributions of muscle fatigue, prediction errors, and their interactions. Results showed fatigue perception is driven by both muscle fatigue and prediction errors, with domain-specific interactions: temporal errors linearly amplified muscle fatigue's impact, while spatial errors modulated it exponentially. These findings challenge purely cognitive models, demonstrating that fatigue perception emerges from domain-dependent integration of physiological signals and sensory discrepancies. The study provides a unified computational framework for body-brain interactions in fatigue, offering insights for personalized training and rehabilitation targeting both physical and cognitive fatigue pathways.

iScienceVol. 29(5)
University of Nottingham Malaysia Campus (MY), Universität Hamburg (DE), Harbin Institute of Technology (CN), University Medical Center Hamburg-Eppendorf (DE), Beijing Sport University (CN)
National Natural Science Foundation of China, Ministry of Industry and Information Technology of the People's Republic of China, Key Technologies Research and Development Program, National Key Research and Development Program of China
Openalex Percentile: Top 29%
Motor Control and Adaptation
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