dc.contributor.author | Büchel, Daniel | |
dc.contributor.author | Sandbakk, Øyvind | |
dc.contributor.author | Baumeister, Jochen | |
dc.date.accessioned | 2022-03-10T12:47:46Z | |
dc.date.available | 2022-03-10T12:47:46Z | |
dc.date.created | 2021-09-23T17:56:18Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | European Journal of Applied Physiology. 2021, 121 (9), 2423-2435. | en_US |
dc.identifier.issn | 1439-6319 | |
dc.identifier.uri | https://hdl.handle.net/11250/2984279 | |
dc.description.abstract | Purpose
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.
Methods
Sixteen trained participants were tested for individual peak oxygen uptake (VO2 peak) and performed an incremental treadmill exercise at 50% (10 min), 70% (10 min) and 90% speed VO2 peak (all-out) followed by cool-down running and active recovery. Before the experiment and after each stage, borg scale (BS), blood lactate concentration (BLa), resting heartrate (HRrest) 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.
Results
Analysis of variance for repeated measures revealed significant main effects for intensity on BS, BLa, HRrest and SWI. While BS, BLa and HRrest indicated maxima after all-out, SWI showed a reduction in the theta network after all-out.
Conclusion
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. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Springer | en_US |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.title | Exploring intensity-dependent modulations in EEG resting-state network efficiency induced by exercise | en_US |
dc.type | Peer reviewed | en_US |
dc.type | Journal article | en_US |
dc.description.version | publishedVersion | en_US |
dc.source.pagenumber | 2423-2435 | en_US |
dc.source.volume | 121 | en_US |
dc.source.journal | European Journal of Applied Physiology | en_US |
dc.source.issue | 9 | en_US |
dc.identifier.doi | 10.1007/s00421-021-04712-6 | |
dc.identifier.cristin | 1937894 | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |