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Published on: April 9, 2014
Golf putt outcomes are predicted by sensorimotor cerebral EEG rhythms
Claudio Babiloni1, Claudio Del Percio, Marco Iacoboni
1Dipartmento di Fisiologia Umana e Farmacologia, Università La Sapienza, Piazzale A. Moro 5, Rome, Italy.
The Journal of Physiology
|October 20, 2007
Summary
Frontal brain waves, specifically high-frequency alpha rhythms, are crucial for fine motor control in golf. Reduced alpha power in specific brain regions predicts better putting performance and accuracy.
Area of Science:
- Neuroscience
- Motor Control
- Sports Science
Background:
- The role of frontal cerebral rhythms in fine motor control and balance remains unclear.
- Understanding hemispheric involvement in complex motor tasks like golf putting is essential.
Purpose of the Study:
- To investigate the involvement of frontal electroencephalographic (EEG) rhythms in fine motor control and balance during golf putting.
- To determine if specific EEG patterns correlate with putting accuracy in expert golfers.
Main Methods:
- Simultaneous electroencephalographic (EEG) and stabilometric recordings were conducted on 12 right-handed expert golfers.
- Participants performed approximately 100 golf putts on a simulator, with balance measured by body sway area.
- Cortical activity was assessed by analyzing power reduction in alpha (8-12 Hz) and beta (13-30 Hz) rhythms during the pre-movement period.
Main Results:
- Body sway area did not differ significantly between successful and unsuccessful putts.
- A reduction in high-frequency alpha power (10-12 Hz) was observed in successful putts compared to unsuccessful ones.
- This alpha power reduction was noted over the frontal midline and the right primary sensorimotor area (arm and hand region).
- A stronger reduction in alpha power correlated with a smaller putting error (i.e., closer distance to the hole).
Conclusions:
- High-frequency alpha rhythms in associative, premotor, and non-dominant primary sensorimotor areas are implicated in motor control.
- The degree of alpha power reduction serves as a predictor of putting performance accuracy in golfers.
