# EEG–Metabolic Coupling and Time Limit at V˙O2max During Constant-Load Exercise

**Authors:** Luc Poinsard, Christian Berthomier, Michel Clémençon, Marie Brandewinder, Slim Essid, Cécilia Damon, François Rigaud, Alexis Bénichoux, Emmanuel Maby, Lesly Fornoni, Patrick Bouchet, Pascal Van Beers, Bertrand Massot, Patrice Revol, Thomas Creveaux, Christian Collet, Jérémie Mattout, Vincent Pialoux, Véronique Billat

PMC · DOI: 10.3390/jfmk10040369 · Journal of Functional Morphology and Kinesiology · 2025-09-26

## TL;DR

This study explores how brain activity, measured via EEG, interacts with metabolism during intense cycling exercise, revealing links between specific brain waves and endurance performance.

## Contribution

The study introduces EEG–metabolic ratios as novel indicators of brain–metabolism interplay during high-intensity exercise.

## Key findings

- Beta power was negatively correlated with time spent at V˙O2max.
- EEG–metabolic ratios like Alpha/V˙O2 and Theta/V˙CO2 were significantly correlated with endurance metrics.
- Theta and Alpha bands, when normalized to metabolic load, are linked to ventilatory coordination and motor control.

## Abstract

Background: Exercise duration at maximum oxygen uptake (V˙O2max) appears to be influenced not only by metabolic factors but also by the interplay between brain dynamics and ventilatory regulation. This study examined how cortical activity, assessed via electroencephalography (EEG), relates to performance and acute fatigue regulation during a constant-load cycling test. We hypothesized that oscillatory activity in the theta, alpha, and beta bands would be associated with ventilatory coordination and endurance capacity. Methods: Thirty trained participants performed a cycling test to exhaustion at 90% maximal aerobic power. EEG and gas exchange were continuously recorded; ratings of perceived exertion were assessed immediately after exhaustion. Results: Beta power was negatively correlated with time spent at V˙O2max (r = −0.542, p = 0.002). Theta and Alpha power alone showed no direct associations with endurance, but EEG–metabolic ratios revealed significant correlations. Specifically, the time to reach V˙O2max correlated with Alpha/V˙O2 (p < 0.001), Alpha/V˙CO2 (p < 0.001), and Beta/V˙CO2 (p = 0.002). The time spent at V˙O2max correlated with Theta/V˙O2 (p = 0.002) and Theta/V˙CO2 (p < 0.001). The time-to-exhaustion was correlated with Theta/V˙CO2 (p < 0.001) and Alpha/V˙CO2 (p < 0.001). Conclusions: These findings indicate that cortical oscillations were associated with different aspects of acute fatigue regulation. Beta activity was associated with fatigue-related neural strain, whereas Theta and Alpha bands, when normalized to metabolic load, were consistent with a role in ventilatory coordination and motor control. EEG–metabolic ratios may provide exploratory indicators of brain–metabolism interplay during high-intensity exercise and could help guide future brain-body interactions in endurance performance.

## Full-text entities

- **Diseases:** fatigue (MESH:D005221), acute fatigue (MESH:D000208)
- **Chemicals:** O2 (MESH:D010100), O2max (-), CO2 (MESH:D002245)

## Full text

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## Figures

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## References

94 references — full list in the complete paper: https://tomesphere.com/paper/PMC12550976/full.md

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Source: https://tomesphere.com/paper/PMC12550976