Comparative electroencephalography analysis: Marathon runners during tapering versus sedentary controls reveals no
J Moussiopoulou1, M Handrack-Bonnet1, B Pross1,2
1Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, Munich, Germany.
Brain and Behavior
|April 29, 2024
Summary
This study found no significant differences in resting-state EEG power spectra between trained runners and sedentary individuals, suggesting EEG may not capture long-lasting physical activity-induced brain plasticity.
Area of Science:
- Neuroscience
- Exercise Physiology
- Neuroimaging
Background:
- Previous research indicates physical activity (PA) induces adaptive neuroplastic brain changes.
- Existing electroencephalography (EEG) studies primarily examine acute exercise effects, not long-term plasticity.
- This study investigates EEG's potential to detect sustained PA-induced plasticity in runners versus controls.
Purpose of the Study:
- To determine if resting-state EEG can reveal long-lasting neuroplasticity in trained runners compared to sedentary controls.
- To explore the utility of EEG in assessing the long-term effects of physical activity on brain function.
Main Methods:
- Thirty trained runners and 30 sedentary controls (SC) participated in the ReCaP study.
- Physical activity was assessed using the International Physical Activity Questionnaire (IPAQ).
- Resting-state EEG data were collected from runners during marathon training taper, analyzed using standardized low-resolution electromagnetic tomography (sLORETA) across multiple frequency bands.
Main Results:
- Significant differences were observed in IPAQ scores and BMI between runners and controls.
- No significant differences in resting-state EEG power spectra were detected between the two groups.
- Demographic parameters, excluding PA and BMI, were comparable between groups.
Conclusions:
- The study did not find evidence of long-term exercise-induced plasticity detectable by resting-state EEG in runners.
- Heterogeneity in study protocols and timing of EEG recordings may explain discrepancies with prior research.
- Future research should investigate EEG at various post-exercise time points and exercise types to better understand its capacity for detecting long-term plasticity.


