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

D. Büchel, Ø. Sandbakk, J. Baumeister, European Journal of Applied Physiology (2021) 2423–2435.

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Journal Article | Published | English
Abstract
<jats:title>Abstract</jats:title><jats:sec> <jats:title>Purpose</jats:title> <jats:p>Exhaustive cardiovascular load can affect neural processing and is associated with decreases in sensorimotor performance. The purpose of this study was to explore intensity-dependent modulations in brain network efficiency in response to treadmill running assessed from resting-state electroencephalography (EEG) measures.</jats:p> </jats:sec><jats:sec> <jats:title>Methods</jats:title> <jats:p>Sixteen trained participants were tested for individual peak oxygen uptake (VO<jats:sub>2 peak</jats:sub>) and performed an incremental treadmill exercise at 50% (10 min), 70% (10 min) and 90% speed VO<jats:sub>2 peak</jats:sub> (all-out) followed by cool-down running and active recovery. Before the experiment and after each stage, borg scale (BS), blood lactate concentration (B<jats:sub>La</jats:sub>), resting heartrate (HR<jats:sub>rest</jats:sub>) and 64-channel EEG resting state were assessed. To analyze network efficiency, graph theory was applied to derive small world index (SWI) from EEG data in theta, alpha-1 and alpha-2 frequency bands.</jats:p> </jats:sec><jats:sec> <jats:title>Results</jats:title> <jats:p>Analysis of variance for repeated measures revealed significant main effects for intensity on BS, B<jats:sub>La</jats:sub>, HR<jats:sub>rest</jats:sub> and SWI. While BS, B<jats:sub>La</jats:sub> and HR<jats:sub>rest</jats:sub> indicated maxima after all-out, SWI showed a reduction in the theta network after all-out.</jats:p> </jats:sec><jats:sec> <jats:title>Conclusion</jats:title> <jats:p>Our explorative approach suggests intensity-dependent modulations of resting-state brain networks, since exhaustive exercise temporarily reduces brain network efficiency. Resting-state network assessment may prospectively play a role in training monitoring by displaying the readiness and efficiency of the central nervous system in different training situations.</jats:p> </jats:sec>
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Journal Title
European Journal of Applied Physiology
Page
2423-2435
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Büchel D, Sandbakk Ø, Baumeister J. Exploring intensity-dependent modulations in EEG resting-state network efficiency induced by exercise. European Journal of Applied Physiology. Published online 2021:2423-2435. doi:10.1007/s00421-021-04712-6
Büchel, D., Sandbakk, Ø., & Baumeister, J. (2021). Exploring intensity-dependent modulations in EEG resting-state network efficiency induced by exercise. European Journal of Applied Physiology, 2423–2435. https://doi.org/10.1007/s00421-021-04712-6
@article{Büchel_Sandbakk_Baumeister_2021, title={Exploring intensity-dependent modulations in EEG resting-state network efficiency induced by exercise}, DOI={10.1007/s00421-021-04712-6}, journal={European Journal of Applied Physiology}, author={Büchel, Daniel and Sandbakk, Øyvind and Baumeister, Jochen}, year={2021}, pages={2423–2435} }
Büchel, Daniel, Øyvind Sandbakk, and Jochen Baumeister. “Exploring Intensity-Dependent Modulations in EEG Resting-State Network Efficiency Induced by Exercise.” European Journal of Applied Physiology, 2021, 2423–35. https://doi.org/10.1007/s00421-021-04712-6.
D. Büchel, Ø. Sandbakk, and J. Baumeister, “Exploring intensity-dependent modulations in EEG resting-state network efficiency induced by exercise,” European Journal of Applied Physiology, pp. 2423–2435, 2021, doi: 10.1007/s00421-021-04712-6.
Büchel, Daniel, et al. “Exploring Intensity-Dependent Modulations in EEG Resting-State Network Efficiency Induced by Exercise.” European Journal of Applied Physiology, 2021, pp. 2423–35, doi:10.1007/s00421-021-04712-6.

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