Key result
Successful putting performance was characterized by higher multiscale entropy at the Pz and Oz sites and lower entropy at the T3 site compared to unsuccessful putts.
Why the study?
This study aimed to investigate brain signal complexity associated with superior putting performance in expert golfers.
Observational (n=50)
Optimal putting performance in expert golfers is associated with refined neural states characterized by higher multiscale entropy in visuospatial regions and lower entropy in verbal-analytic regions.
Answers are grounded in this paper and cite their sources.
Higher MSE linked to successful putts in experts; hypothesis-generating for motor performance research.
This study aimed to investigate brain signal complexity associated with superior putting performance in expert golfers. Fifty expert golfers (handicap = −2.8 ± 3) each performed 60 putts at a distance of 10 feet. Putting performance was categorized as either a successful or unsuccessful putt (SP vs. UP), based on whether the ball was holed. Electroencephalography (EEG) was recorded during the motor preparatory period (−2 to 0 s) preceding swing onset. Multiscale Entropy (MSE) analysis was employed to quantify EEG signal complexity across six electrode sites: Fz, Cz, Pz, Oz, T3, and T4. Results revealed significantly higher neural complexity for SP compared to UP at Pz (scales 12, 15–17, 19, 21–25) and Oz (scales 20, 22, 25), but significantly lower complexity at T3 (scales 20, 23, and 24). These findings suggest that the involvement of long-timescale integrative processes of visuospatial regions, alongside reduced neural complexity in verbal-analytic regions may characterize optimal putting performance states. Supplemental cortical connectivity analyses further support the MSE findings, demonstrating that superior putting performance was associated with reduced cortical–cortical communication between T3 and midline regions (i.e., Fz, Cz, and Pz). The present findings advance previous EEG research by moving beyond traditional linear analytic methods and align with the psychomotor efficiency hypothesis, which proposes that superior cognitive-motor performance is supported by more refined neural states that enhance task-relevant processing while minimizing interference from task-irrelevant activity. This study suggests that MSE may serve as a valuable neural indicator of the mechanisms underlying optimal cognitive-motor performance in precision sports. • The present study applied a nonlinear method to quantify multiscale entropy associated with superior putting performance in expert golfers. • Superior putting performance was characterized by higher multiscale entropy at the Pz and Oz sites and lower entropy at the T3 site. • Supplemental cortical connectivity analyses revealed reduced T3–Fz/Cz/Pz communication in superior putting performance. • Multiscale entropy analysis suggests an association between optimal putting performance and refined neural states.
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Chueh et al. (2025) conducted an observational in Expert golfers (n=50). Successful putt vs. Unsuccessful putt was evaluated on EEG signal complexity (Multiscale Entropy) across six electrode sites. Successful putting performance was characterized by higher multiscale entropy at the Pz and Oz sites and lower entropy at the T3 site compared to unsuccessful putts.
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