Abstract
AbstractCoordinative challenging exercises in changing environments referred to as open-skill exercises seem to be beneficial on cognitive function. Although electroencephalographic research allows to investigate changes in cortical processing during movement, information about cortical dynamics during open-skill exercise is lacking. Therefore, the present study examines frontal brain activation during table tennis as an open-skill exercise compared to cycling exercise and a cognitive task. 21 healthy young adults conducted three blocks of table tennis, cycling and n-back task. Throughout the experiment, cortical activity was measured using 64-channel EEG system connected to a wireless amplifier. Cortical activity was analyzed calculating theta power (4–7.5 Hz) in frontocentral clusters revealed from independent component analysis. Repeated measures ANOVA was used to identify within subject differences between conditions (table tennis, cycling, n-back; p < .05). ANOVA revealed main-effects of condition on theta power in frontal (p < .01, ηp2 = 0.35) and frontocentral (p < .01, ηp2 = 0.39) brain areas. Post-hoc tests revealed increased theta power in table tennis compared to cycling in frontal brain areas (p < .05, d = 1.42). In frontocentral brain areas, theta power was significant higher in table tennis compared to cycling (p < .01, d = 1.03) and table tennis compared to the cognitive task (p < .01, d = 1.06). Increases in theta power during continuous table tennis may reflect the increased demands in perception and processing of environmental stimuli during open-skill exercise. This study provides important insights that support the beneficial effect of open-skill exercise on brain function and suggest that using open-skill exercise may serve as an intervention to induce activation of the frontal cortex.
Funder
Luxembourg Institute of Research in Orthopedics
Universität Paderborn
Publisher
Springer Science and Business Media LLC
Reference76 articles.
1. Acar AZ, Makeig S (2013) Effects of forward model errors on EEG source localization. Brain Topogr 26(3):378–396. https://doi.org/10.1007/s10548-012-0274-6
2. Akpinar S, Devrilmez E, Kirazci S (2012) Coincidence-anticipation timing requirements are different in racket sports. Percept Mot Skills 115(2):581–593. https://doi.org/10.2466/30.25.27.PMS.115.5.581-593
3. Alschuler DM, Tenke CE, Bruder GE, Kayser J (2014) Identifying electrode bridging from electrical distance distributions: a survey of publicly-available EEG data using a new method. Clin Neurophysiol 125(3):484–490. https://doi.org/10.1016/j.clinph.2013.08.024
4. Amaral DG, Strick PL (2013) The neural basis of cognition. In: Kandel ER, Schwartz JH, Jessell T, Siegelbaum SA, Hudspeth AJ, Mack S (eds) Principles of neural science. McGraw-Hill Medical, New York
5. Anders P, Lehmann T, Müller H, Grønvik KB, Skjæret-Maroni N, Baumeister J, Vereijken B (2018) Exergames inherently contain cognitive elements as indicated by cortical processing. Front Behav Neurosci 12:102. https://doi.org/10.3389/fnbeh.2018.00102
Cited by
12 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献