Abstract
Background
The evaluation of electrocortical activity (EEG) during visual stimuli may reveal differences depending on experience level.
Methods
Fourteen volunteers, seven belonging to the expert group (high experience in the field of the acrobatic gymnastics) and seven to the control one, took part in the study. Ten videos recorded during the execution of specific physical movements of acrobatic gymnastics have been included in the execution task. Power spectrum as indicator of the electrocortical activity was used.
Results
Expert group showed lower power spectra levels in delta (MD = − 2.23) and higher power spectra levels in slow alpha (MD = 2.17) bands, compared to control group during the vision of the videos with errors; during the vision of the videos without errors, expert group showed lower power spectra levels in delta (MD = − 1.04) and higher power spectra levels in slow alpha (MD = 1.88) bands compared to control group. Generally, occipital, frontal and central areas showed differences between groups in regard to power spectra levels.
Conclusions
These findings confirm the relationship between EEG activity and vision of specific physical movements and extend knowledge on the electrocortical response to visual stimuli emphasizing the difference between experienced and inexperienced subjects, relative to the field analyzed.
Similar content being viewed by others
References
Pineda JA, Hecht E (2009) Mirroring and mu rhythm involvement in social cognition: are there dissociable subcomponents of theory of mind? Biol Psychol 80:306–314
Wriessnegger SC, Leeb R, Kaiser V, Neuper C, Müller-Putz GR (2013) Watching object related movements modulates mirror-like activity in parietal brain regions. Clin Neurophysiol 124:1596–1604
Babiloni C, Babiloni F, Carducci F, Cincotti F, Cocozza G, Del Percio C, Moretti DV, Rossini PM (2002) Human cortical electroencephalography (EEG) rhythms during the observation of simple aimless movements: a high-resolution EEG study. Neuroimage 17:559–572
Holmes P, Collins D, Calmels C (2006) Electroencephalographic functional equivalence during observation of action. J Sports Sci 24:605–616
Rizzolatti G, Craighero L (2004) The mirror-neuron system. Annu Rev Neurosci 27:169–192
Babiloni C, Del Percio C, Rossini PM, Marzano N, Iacoboni M, Infarinato F, Lizio R, Piazza M, Pirritano M, Berlutti G, Cibelli G, Eusebi F (2009) Judgment of actions in experts: a high-resolution EEG study in elite athletes. Neuroimage 45:512–521
Calmels C, Foutren M, Stam CJ (2012) Beta functional connectivity modulation during the maintenance of motion information in working memory: importance of the familiarity of the visual context. Neuroscience 212:49–58
Orgs G, Dombrowski JH, Heil M, Jansen-Osmann P (2008) Expertise in dance modulates alpha/beta event-related desynchronization during action observation. Eur J Neurosci 27:3380–3384
Calvo-Merino B, Glaser DE, Grèzes J, Passingham RE, Haggard P (2005) Action observation and acquired motor skills: an FMRI study with expert dancers. Cereb Cortex 15:1243–1249
Babiloni C, Marzano N, Infarinato F, Iacoboni M, Rizza G, Aschieri P, Cibelli G, Soricelli A, Eusebi F, Del Percio C (2010) “Neural efficiency” of experts’ brain during judgment of actions: a high-resolution EEG study in elite and amateur karate athletes. Behav Brain Res 207:466–475
Klem GH, Lüders HO, Jasper HH, Elger C (1999) The ten-twenty electrode system of the International Federation. Int Feder Clin Neurophysiol Electroencephalogr Clin Neurophysiol Suppl 52:3
Ping H, Estepp JR (2013) A practical method for quickly determining electrode positions in high-density EEG studies. Neurosci Lett 541:73–76
Delorme A, Makeig S (2004) EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. J Neurosci Methods 134:9–21
Delorme A, Sejnowski T, Makeig S (2007) Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysis. Neuroimage 34:1443–1449
Jung TP, Makeig S, Humphries C, Lee TW, Mckeown MJ, Iragui V, Sejnowski TJ (2000) Removing electroencephalographic artifacts by blind source separation. Psychophysiology 37:163–178
Cugliari G, Ivaldi M (2015) Multivariate statistical analysis in neuroscience. Grin Verlag, München, pp 1–184
Harmony T, Fernández T, Silva J, Bosch J, Valdés P, Fernández-Bouzas A, Galán L, Aubert E, Rodríguez D (1999) Do specific EEG frequencies indicate different processes during mental calculation? Neurosci Lett 266:25–28
Kirmizi-Alsan E, Bayraktaroglu Z, Gurvit H, Keskin YH, Emre M, Demiralp T (2006) Comparative analysis of event-related potentials during Go/NoGo and CPT: decomposition of electrophysiological markers of response inhibition and sustained attention. Brain Res 1104:114–128
Umilta MA, Berchio C, Sestito M, Freedberg D, Gallese V (2012) Abstract art and cortical motor activation: an EEG study. Front Hum Neurosci 6:311
Oberman LM, Hubbard EM, McCleery JP, Altschuler EL, Ramachandran VS, Pineda JA (2005) EEG evidence for mirror neuron dysfunction in autism spectrum disorders. Cogn Brain Res 24:190–198
Kanayama N, Sato A, Ohira H (2007) Crossmodal effect with rubber hand illusion and gamma-band activity. Psychophysiology 44:392–402
Crabbe JB, Dishman RK (2004) Brain electrocortical activity during and after exercise: a quantitative synthesis. Psychophysiology 41:563–574
Gastaut H (1952) Electrocorticographic study of the reactivity of rolandic rhythm. Revue Neurol 87:176
Nácher V, Ledberg A, Deco G, Romo R (2013) Coherent delta-band oscillations between cortical areas correlate with decision making. Proc Natl Acad Sci 110:15085–15090
Vogt S, Thomaschke R (2007) From visuo-motor interactions to imitation learning: behavioural and brain imaging studies. J Sports Sci 25:497–517
Kisley MA, Cornwell ZM (2006) Gamma and beta neural activity evoked during a sensory gating paradigm: effects of auditory, somatosensory and cross-modal stimulation. Clin Neurophysiol 117:2549–2563
Castermans T, Duvinage M, Cheron G, Dutoit T (2014) About the cortical origin of the low-delta and high-gamma rhythms observed in EEG signals during treadmill walking. Neurosci Lett 561:166–170
Presacco A, Goodman R, Forrester L, Contreras-Vidal JL (2011) Neural decoding of treadmill walking from noninvasive electroencephalographic signals. J Neurophysiol 106:1875–1887
Wong SW, Chan RH, Mak JN (2013) Spectral modulation of frontal EEG during motor skill acquisition: a mobile EEG study. Int J Psychophysiol 91:16–21
Ivaldi M, Cugliari G, Peracchione S, Rainoldi A (2017) Familiarity affects electrocortical power spectra during dance imagery, listening to different music genres: independent component analysis of alpha and beta rhythms. Sport Sci Health 13:535–548
Cheng Y, Lee PL, Yang CY, Lin CP, Hung D, Decety J (2008) Gender differences in the mu rhythm of the human mirror-neuron system. PLoS One 3:e2113
Ulloa ER, Pineda JA (2007) Recognition of point-light biological motion: mu rhythms and mirror neuron activity. Behav Brain Res 183:188–194
Choi K (2012) Control of a vehicle with EEG signals in real-time and system evaluation. Eur J Appl Physiol 112(2):755–766
Funding
No funding was received.
Author information
Authors and Affiliations
Contributions
MI contributed to the experimental design, undertook the data collection, interpreted the results and drafted the manuscript. GC performed the data analysis, conceived the statistical analysis, interpreted the results and drafted the manuscript. EF undertook the data collection. AR provided critical comments and revised the manuscript. All authors read and approved the final manuscript.
Corresponding author
Ethics declarations
Conflict of interest
The authors certify that there is no conflict of interest.
Ethical approval
Ethical approval was obtained by the Committee of the Research Department of the University of Torino, Italy. The research protocol was designed in accordance with the Helsinki Declaration.
Informed consent
All volunteers were informed of the purpose of the study, and they signed informed consent forms.
Rights and permissions
About this article
Cite this article
Ivaldi, M., Cugliari, G., Fiorenti, E. et al. Delta and alpha rhythms are modulated by the physical movement knowledge in acrobatic gymnastics: an EEG study in visual context. Sport Sci Health 14, 563–569 (2018). https://doi.org/10.1007/s11332-018-0461-2
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11332-018-0461-2