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dc.contributor.authorBüchel, Daniel
dc.contributor.authorTorvik, Per Øyvind
dc.contributor.authorLehmann, T.I.M.
dc.contributor.authorSandbakk, Øyvind Bucher
dc.contributor.authorBaumeister, Jochen
dc.date.accessioned2024-03-19T15:02:36Z
dc.date.available2024-03-19T15:02:36Z
dc.date.created2023-06-12T12:28:16Z
dc.date.issued2023
dc.identifier.citationBüchel, D., Torvik, P. Ø., Lehmann, T. I. M., Sandbakk, Ø. B. & Baumeister, J. (2023). The Mode of Endurance Exercise Influences Changes in EEG Resting-State Graphs among High-Level Cross-Country Skiers. Medicine & Science in Sports & Exercise. 55 (6), 1003-1013. doi:en_US
dc.identifier.issn0195-9131
dc.identifier.urihttps://hdl.handle.net/11250/3123200
dc.descriptionAuthor’s accepted manuscript (postprint)
dc.descriptionThis is an Accepted Manuscript of an article published by American College of Sports Medicine in Medicine & Science in Sports & Exercise on 23/8/2022
dc.descriptionAvailable online: doi.org/10.1249/MSS.0000000000003122
dc.description.abstractPurpose Acute bouts of exercise influence the communication and organization of brain networks, with exercise intensity and volume regarded as key moderators. However, differences in coordination demands and limb involvement between exercise modes may also affect the communication and organization of brain networks after exercise and should be considered additionally. This study aimed to investigate the effect of mode on exercise-induced changes in electroencephalogaphy (EEG) resting-state networks comparing running (RUN) and cross-country skating (XC). Methods Fifteen male, highly trained participants were tested for peak oxygen uptake (V̇O2peak) during RUN (65.3 mL·min−1·kg−1) and XC (63.5 mL·min−1·kg−1) followed by incremental protocols at 50%, 70%, and 90% of speed at V̇O2peak in both modes on the treadmill. After each exercise bout, 5-min resting-state EEG assessments using 64 channels were performed. Upon graph theory, small world index (SWI), clustering coefficient (CC), and path length (PL) were assessed in theta, alpha-1 and alpha-2 frequency bands. Repeated-measures ANOVA was applied to analyze the influence of exercise intensity and mode on modulations in brain network efficiency. Results Main effects of mode on SWI (P = 0.047), CC (P < 0.001), and PL (P = 0.031) in the alpha-2 network indicated stronger modulations in network efficiency after XC. Main effects of exercise intensity in the theta network indicated modulated SWI (P < 0.001), CC (P < 0.001), and PL (P = 0.003) after exercise at 90% of V̇O2peak speed. Physiological outcomes (heart rate, blood lactate concentration, and rating of perceived exertion) were influenced by intensity solely. Conclusions The present study demonstrates that an acute bout of coordinatively challenging endurance exercise may affect brain networks differently compared with running. Future studies may consider exercise mode as a potential moderator in the acute interaction between exercise and the brain.en_US
dc.language.isoengen_US
dc.publisherAmerican College of Sports Medicineen_US
dc.titleThe Mode of Endurance Exercise Influences Changes in EEG Resting-State Graphs among High-Level Cross-Country Skiersen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionacceptedVersionen_US
dc.source.pagenumber1003-1013en_US
dc.source.volume55en_US
dc.source.journalMedicine & Science in Sports & Exerciseen_US
dc.source.issue6en_US
dc.identifier.doi10.1249/MSS.0000000000003122
dc.identifier.cristin2153751


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