2014
DOI: 10.1016/j.humov.2014.06.008
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Cerebral cortical activity associated with non-experts’ most accurate motor performance

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Cited by 18 publications
(8 citation statements)
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References 38 publications
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“…This evidence indicates that mistakes, particularly among experts, can be attributed to conscious verbal/analytic interference with movement preparation. The current findings are also in broad agreement with those of Babiloni et al (2011) and Dyke et al (2014), who reported that left temporal-frontal coherence was greater on missed than holed putts among expert golfers only.…”
Section: Discussionsupporting
confidence: 92%
See 1 more Smart Citation
“…This evidence indicates that mistakes, particularly among experts, can be attributed to conscious verbal/analytic interference with movement preparation. The current findings are also in broad agreement with those of Babiloni et al (2011) and Dyke et al (2014), who reported that left temporal-frontal coherence was greater on missed than holed putts among expert golfers only.…”
Section: Discussionsupporting
confidence: 92%
“…Specifically, Babiloni et al (2011) found that high-alpha magnitude squared coherence between the left temporal (T3) and left frontal (F3) cortical areas decreased more compared to a premovement baseline for holed putts than for missed putts in expert golfers. However, Dyke et al (2014) reported no coherence differences between the best and worst putts of novices, suggesting disruption of movement by conscious processing is more likely to be a feature of expertise. Overall, these findings suggest that cognitive–motor interference is lower in experts than in novices and that low left temporal to frontal connectivity distinguishes accurate and inaccurate movements in experts.…”
mentioning
confidence: 89%
“…Indeed, it is notable that reinvestment theory experiments report increases in declarative knowledge use coincident to choking but have not shown knowledge use predicts choking (Hardy et al, 1996; Koedijker et al, 2007; Lam et al, 2009a, 2009b; Liao & Masters, 2001; Masters, 1992). To improve the precision of measuring declarative knowledge use during performance, researchers may employ “online” measurement techniques, such as EEG measures of neural activation in verbal-analytic brain regions and networking between these regions and motor planning regions (e.g., Buszard, Farrow, Zhu, & Masters, 2016; Deeny, Hillman, Janelle, & Hatfield, 2003; Dyke et al, 2014; Zhu et al, 2010; Zhu, Poolton, Wilson, Hu, et al, 2011; Zhu, Poolton, Wilson, Maxwell, et al, 2011).…”
Section: Discussionmentioning
confidence: 99%
“…The element 'response' received an overall average score of 1.48 AE 0.44, with a score of 0.84 AE 0.38 on the artificiality-naturality scale and a score of 0.64 AE 0.48 on the simplicity-complexity scale. Due to technological limitations surrounding EEG measurement, participants were sometimes given instructions regarding their body movement, such as remaining still prior to executing the required action (Dyke et al, 2014;Kao et al, 2013) or to only perform a certain subset of a task like the backhand serve (Skrzeba & Vogt, 2018). Alternatively, various studies gave no limiting instructions, allowing participants to move freely and execute responses at will (Bertollo et al, 2016;Cheng et al, 2015).…”
Section: Bodymentioning
confidence: 99%