Brain oscillations in sport: toward EEG biomakers of performance

Brain dynamics is at the basis of top performance accomplishment in sports. The search for neural biomarkers of performance remains a challenge in movement science and sport psychology. The noninvasive nature of high-density electroencephalography (EEG) recording has made it a most promising avenue...

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Main Authors: Guy eCheron, Geraldine ePetit, Julian eCheron, Axelle eLeroy, Ana Maria Cebolla, Carlos eCevallos, Mathieu ePetieau, David eZarka, Thomas eHoellinger, Anne-Marie eClarinval, Bernard eDan
Format: Article
Language:English
Published: Frontiers Media S.A. 2016-02-01
Series:Frontiers in Psychology
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fpsyg.2016.00246/full
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author Guy eCheron
Guy eCheron
Geraldine ePetit
Julian eCheron
Axelle eLeroy
Axelle eLeroy
Ana Maria Cebolla
Carlos eCevallos
Mathieu ePetieau
David eZarka
Thomas eHoellinger
Anne-Marie eClarinval
Bernard eDan
Bernard eDan
author_facet Guy eCheron
Guy eCheron
Geraldine ePetit
Julian eCheron
Axelle eLeroy
Axelle eLeroy
Ana Maria Cebolla
Carlos eCevallos
Mathieu ePetieau
David eZarka
Thomas eHoellinger
Anne-Marie eClarinval
Bernard eDan
Bernard eDan
author_sort Guy eCheron
collection DOAJ
description Brain dynamics is at the basis of top performance accomplishment in sports. The search for neural biomarkers of performance remains a challenge in movement science and sport psychology. The noninvasive nature of high-density electroencephalography (EEG) recording has made it a most promising avenue for providing quantitative feedback to practitioners and coaches. Here, we review the current relevance of the main types of EEG oscillations in order to trace a perspective for future practical applications of EEG and event-related potentials (ERP) in sport. In this context, the hypotheses of unified brain rhythms and continuity between wake and sleep states should provide a functional template for EEG biomarkers in sport. The oscillations in the thalamo-cortical and hippocampal circuitry including the physiology of the place cells and the grid cells provide a frame of reference for the analysis of delta, theta, beta, alpha (incl.mu) and gamma oscillations recorded in the space field of human performance. Based on recent neuronal models facilitating the distinction between the different dynamic regimes (selective gating and binding) in these different oscillations we suggest an integrated approach articulating together the classical biomechanical factors (3D movements and EMG) and the high-density EEG and ERP signals to allow finer mathematical analysis to optimize sport performance, such as microstates, coherency/directionality analysis and neural generators.
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spelling doaj.art-99c6e5f8d7104d1ba7887362853bee8c2022-12-22T00:02:08ZengFrontiers Media S.A.Frontiers in Psychology1664-10782016-02-01710.3389/fpsyg.2016.00246172439Brain oscillations in sport: toward EEG biomakers of performanceGuy eCheron0Guy eCheron1Geraldine ePetit2Julian eCheron3Axelle eLeroy4Axelle eLeroy5Ana Maria Cebolla6Carlos eCevallos7Mathieu ePetieau8David eZarka9Thomas eHoellinger10Anne-Marie eClarinval11Bernard eDan12Bernard eDan13Université Libre de Bruxelles (ULB)Université de Mons-HainautUniversité Libre de Bruxelles (ULB)Université Libre de Bruxelles (ULB)Université Libre de Bruxelles (ULB)Haute Ecole CondorcetUniversité Libre de Bruxelles (ULB)Université Libre de Bruxelles (ULB)Université Libre de Bruxelles (ULB)Université Libre de Bruxelles (ULB)Université Libre de Bruxelles (ULB)Université Libre de Bruxelles (ULB)Université Libre de Bruxelles (ULB)Université Libre de BruxellesBrain dynamics is at the basis of top performance accomplishment in sports. The search for neural biomarkers of performance remains a challenge in movement science and sport psychology. The noninvasive nature of high-density electroencephalography (EEG) recording has made it a most promising avenue for providing quantitative feedback to practitioners and coaches. Here, we review the current relevance of the main types of EEG oscillations in order to trace a perspective for future practical applications of EEG and event-related potentials (ERP) in sport. In this context, the hypotheses of unified brain rhythms and continuity between wake and sleep states should provide a functional template for EEG biomarkers in sport. The oscillations in the thalamo-cortical and hippocampal circuitry including the physiology of the place cells and the grid cells provide a frame of reference for the analysis of delta, theta, beta, alpha (incl.mu) and gamma oscillations recorded in the space field of human performance. Based on recent neuronal models facilitating the distinction between the different dynamic regimes (selective gating and binding) in these different oscillations we suggest an integrated approach articulating together the classical biomechanical factors (3D movements and EMG) and the high-density EEG and ERP signals to allow finer mathematical analysis to optimize sport performance, such as microstates, coherency/directionality analysis and neural generators.http://journal.frontiersin.org/Journal/10.3389/fpsyg.2016.00246/fullEEGbiomarkersSportcortical activitybrain rythms
spellingShingle Guy eCheron
Guy eCheron
Geraldine ePetit
Julian eCheron
Axelle eLeroy
Axelle eLeroy
Ana Maria Cebolla
Carlos eCevallos
Mathieu ePetieau
David eZarka
Thomas eHoellinger
Anne-Marie eClarinval
Bernard eDan
Bernard eDan
Brain oscillations in sport: toward EEG biomakers of performance
Frontiers in Psychology
EEG
biomarkers
Sport
cortical activity
brain rythms
title Brain oscillations in sport: toward EEG biomakers of performance
title_full Brain oscillations in sport: toward EEG biomakers of performance
title_fullStr Brain oscillations in sport: toward EEG biomakers of performance
title_full_unstemmed Brain oscillations in sport: toward EEG biomakers of performance
title_short Brain oscillations in sport: toward EEG biomakers of performance
title_sort brain oscillations in sport toward eeg biomakers of performance
topic EEG
biomarkers
Sport
cortical activity
brain rythms
url http://journal.frontiersin.org/Journal/10.3389/fpsyg.2016.00246/full
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