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Exploring intensity-dependent modulations in EEG resting-state network efficiency induced by exercise.

Daniel Büchel1, Øyvind Sandbakk2, Jochen Baumeister3

  • 1Exercise Science and Neuroscience Unit, Department of Exercise & Health, Faculty of Science, Paderborn University, Paderborn, Germany. daniel.buechel@upb.de.

European Journal of Applied Physiology
|May 18, 2021
PubMed
Summary

Intense exercise temporarily reduces brain network efficiency, particularly in the theta frequency band, as measured by electroencephalography (EEG). This finding suggests resting-state brain network assessment could monitor central nervous system readiness during training.

Keywords:
ElectroencephalographyExercise loadFunctional connectivityNetwork efficiencyReadinessResting-state network

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Area of Science:

  • Neuroscience
  • Exercise Physiology
  • Sports Science

Background:

  • Cardiovascular load impacts neural processing and sensorimotor function.
  • Understanding exercise intensity effects on brain networks is crucial for optimizing training and performance.

Purpose of the Study:

  • To investigate how different exercise intensities affect brain network efficiency.
  • To analyze intensity-dependent modulations in brain network efficiency using resting-state electroencephalography (EEG).

Main Methods:

  • Sixteen trained participants underwent incremental treadmill exercise at varying intensities (50%, 70%, 90% VO2 peak).
  • Resting-state EEG, Borg scale, blood lactate, and heart rate were measured before and after each exercise stage.
  • Graph theory analysis, specifically the small-world index (SWI), was applied to EEG data across theta, alpha-1, and alpha-2 bands.

Main Results:

  • Exercise intensity significantly affected Borg scale, blood lactate, resting heart rate, and small-world index (SWI).
  • While physiological markers peaked after maximal exertion, SWI demonstrated a reduction in the theta network post-exercise.
  • These results indicate an intensity-dependent impact on brain network efficiency.

Conclusions:

  • Exhaustive exercise temporarily diminishes brain network efficiency, supporting intensity-dependent modulations.
  • Resting-state network assessment may serve as a future tool for monitoring central nervous system readiness and training status.