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Cortical fMRI activation to opponents’ body kinematics in sport-related anticipation: expert-novice differences with normal and point-light video
journal contribution
posted on 2016-07-19, 10:40 authored by Michael J. Wright, Daniel T. Bishop, Robin JacksonRobin Jackson, Bruce AbernethyBadminton players of varying skill levels viewed normal and point-light video clips of opponents striking the shuttle towards the viewer; their task was to predict in which quadrant of the court the shuttle would land. In a whole-brain fMRI analysis we identified bilateral cortical networks sensitive to the anticipation task relative to control stimuli. This network is more extensive and localised than previously reported. Voxel clusters responding more strongly in experts than novices were associated with all task-sensitive areas, whereas voxels responding more strongly in novices were found outside these areas. Task-sensitive areas for normal and point-light video were very similar, whereas early visual areas responded differentially, indicating the primacy of kinematic information for sport-related anticipation.
Funding
The work described in this paper was supported by a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China, Project HKU 7400/05H.
History
School
- Sport, Exercise and Health Sciences
Published in
Neuroscience LettersVolume
500Citation
WRIGHT, M.J. ... et al., 2011. Cortical fMRI activation to opponents’ body kinematics in sport-related anticipation: expert-novice differences with normal and point-light video. Neuroscience Letters, DOI: 10.1016/j.neulet.2011.06.045.Publisher
© ElsevierVersion
- VoR (Version of Record)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Publication date
2011Notes
Closed access.ISSN
1872-7972eISSN
0304-3940Publisher version
Language
- en