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Brain electrical activities of dancers and fast ball sports athletes are different
Authors:Ermutlu  Numan  Yücesir  Ilker  Eskikurt  Gökçer  Temel   Tan  İşoğlu-Alkaç   Ümmühan
Affiliation:1.Department of Physiology, Faculty of Medicine, Istanbul Bilim University, Istanbul, Turkey
;2.School of Physical Education and Sports, Istanbul University, Istanbul, Turkey
;3.Department of Neuroscience, Institute of Experimental Medicine, Istanbul University, Istanbul, Turkey
;4.Department of Music and Performing Arts, The Art and Design Faculty, YTU, Istanbul, Turkey
;5.Fizyoloji AD, İstanbul Tıp Fakültesi, İstanbul Üniversitesi, Temel Tıp Bilimleri Binası, 34390, Istanbul, Turkey
;
Abstract:Exercise training has been shown not only to influence physical fitness positively but also cognition in healthy and impaired populations. However, some particular exercise types, even though comparable based on physical efforts, have distinct cognitive and sensorimotor features. In this study, the effects of different types of exercise, such as fast ball sports and dance training, on brain electrical activity were investigated. Electroencephalography (EEG) scans were recorded in professional dancer, professional fast ball sports athlete (FBSA) and healthy control volunteer groups consisting of twelve subjects each. In FBSA, power of delta and theta frequency activities of EEG was significantly higher than those of the dancers and the controls. Conversely, dancers had significantly higher amplitudes in alpha and beta bands compared to FBSA and significantly higher amplitudes in the alpha band in comparison with controls. The results suggest that cognitive features of physical training can be reflected in resting brain electrical oscillations. The differences in resting brain electrical oscillations between the dancers and the FBSA can be the result of innate network differences determining the talents and/or plastic changes induced by physical training.
Keywords:Exercise   Plasticity   EEG   Dancers   Fast ball sports athletes   Resting state networks
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