ArticleScientific reports2022
Nonlinear refinement of functional brain connectivity in golf players of different skill levels.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed, 16 citations in OpenAlex.
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- Neural Efficiency and Sensorimotor Adaptations in Swimming Athletes: A Systematic Review of Neuroimaging and Cognitive-Behavioral Evidence for Performance and Wellbeing.Brain sciences · 2026Review
- Comparison of internal vs. external vs. holistic attentional focus in golf putting performance among children: the role of skill level.Frontiers in psychology · 2026Article
- Cognitive processing characteristics of the advantage of assistant referee offside decision-making: evidence from eye movements and ERPs.Frontiers in psychology · 2026Article
- Temporal dynamics of alpha-band cortico-cortical coherence during motor preparation for successful and unsuccessful football penalty kicks.Frontiers in psychology · 2026Review
- Concurrent observation and physical practice facilitates early closed motor skill learning: evidence from EEG source functional connectivity and behavioral performance.Frontiers in psychology · 2026Article
- Reduced left dorsolateral prefrontal activation during spatial imagery in elite snowboard halfpipe athletes.Frontiers in psychology · 2026Article
- EEG coherence signatures of sport-specific motor imagery in elite freestyle skiing aerials athletes.Frontiers in neuroscience · 2026Article
- Dynamic Brain Activation and Connectivity in Elite Golfers During Distinct Golf Swing Phases: An fMRI Study.Brain sciences · 2025Article
- Article
- Amateurs exhibit greater psychomotor efficiency than novices: evidence from EEG during a visuomotor task.Frontiers in psychology · 2025Article
- Neuromotor mechanisms of successful football penalty kicking: an EEG pilot study.Frontiers in psychology · 2025Article
- Decoding the Preparation Stage of Target Shooting under Audiovisual Restricted Conditions: Investigating Neural Mechanisms Using Microstate Analysis.Brain topography · 2024Article
- Article
- Trait representation of embodied cognition in dancers pivoting on the extended mirror neuron system: a resting-state fMRI study.Frontiers in human neuroscience · 2023Article
- A new EEG neurofeedback training approach in sports: the effects function-specific instruction of Mu rhythm and visuomotor skill performance.Frontiers in psychology · 2023Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Different functional connectivities in the brain, specifically in the frontoparietal and motor cortex-sensorimotor circuits, have been associated with superior performance in athletes. However, previous electroencephalogram (EEG) studies have only focused on the frontoparietal circuit and have not provided a comprehensive understanding of the cognitive-motor processes underlying superior performance. We used EEG coherence analysis to examine the motor cortex-sensorimotor circuit in golfers of different skill levels. Twenty experts, 18 amateurs, and 21 novices performed 60 putts at individual putting distances (40-60% success rate). The imaginary inter-site phase coherence (imISPC) was used to compute 8-13 Hz coherence that can be used to distinguish expert-novice and expert-amateur differences during motor preparation. We assessed the 8-13 Hz imISPC between the Cz and F3, F4, C3, C4, T3, T4, P3, P4, O1, and O2 regions. (1) Amateurs had lower 8-13 Hz imISPC in the central regions (Cz-C3 and C4) than novices and experts, but experts had lower 8-13 Hz imISPC than novices. (2) Skilled golfers (experts and amateurs) had lower 8-13 Hz imISPC in the central-parietal regions (Cz-P3 and P4) than novices. (3) Experts had lower 8-13 Hz imISPC in the central-left temporal regions (Cz-T7) than amateurs and novices. Our study revealed that refinement of the motor cortex-sensorimotor circuit follows a U-shaped coherence pattern based on the stage of learning. The early learning stage (i.e., novice to amateur) is characterized by lower connectivity between the regions associated with motor control and visuospatial processes, whereas the late learning stage (i.e., amateur to expert) is characterized by lower connectivity in the regions associated with verbal-analytic and motor control processes.
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