The Athlete's Brain: Cross-Sectional Evidence for Neural Efficiency during Cycling Exercise

Ludyga, Sebastian and Gronwald, Thomas and Hottenrott, Kuno. (2016) The Athlete's Brain: Cross-Sectional Evidence for Neural Efficiency during Cycling Exercise. Neural Plasticity, 2016. p. 4583674.

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Official URL: http://edoc.unibas.ch/57169/

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The "neural efficiency" hypothesis suggests that experts are characterized by a more efficient cortical function in cognitive tests. Although this hypothesis has been extended to a variety of movement-related tasks within the last years, it is unclear whether or not neural efficiency is present in cyclists performing endurance exercise. Therefore, this study examined brain cortical activity at rest and during exercise between cyclists of higher (HIGH; n = 14; 55.6 ± 2.8 mL/min/kg) and lower (LOW; n = 15; 46.4 ± 4.1 mL/min/kg) maximal oxygen consumption (VO2MAX). Male and female participants performed a graded exercise test with spirometry to assess VO2MAX. After 3 to 5 days, EEG was recorded at rest with eyes closed and during cycling at the individual anaerobic threshold over a 30 min period. Possible differences in alpha/beta ratio as well as alpha and beta power were investigated at frontal, central, and parietal sites. The statistical analysis revealed significant differences between groups (F = 12.04; p = 0.002), as the alpha/beta ratio was increased in HIGH compared to LOW in both the resting state (p ≤ 0.018) and the exercise condition (p ≤ 0.025). The present results indicate enhanced neural efficiency in subjects with high VO2MAX, possibly due to the inhibition of task-irrelevant cognitive processes.
Faculties and Departments:03 Faculty of Medicine > Departement Sport, Bewegung und Gesundheit > Bereich Sportwissenschaft > Sportwissenschaften (Pühse)
UniBasel Contributors:Ludyga, Sebastian
Item Type:Article, refereed
Article Subtype:Research Article
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:17 Nov 2017 12:18
Deposited On:17 Nov 2017 12:18

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