作業前靜息態腦波源訊號連結和高爾夫推桿表現的關係
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2021
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Abstract
目的：過去探討大腦功能的研究主要都在關心作業誘發的大腦活動，然而，越來越多的證據指出，在沒有刺激和休息狀態下的大腦活動也是具有功能性意義的。在精準性運動的腦波研究主要都在探討動作執行準備期的大腦活動，不過靜息態腦波和運動表現的關係還並不明確。因此，本研究欲探討作業前靜息態腦波和推桿表現的關係，特別是源訊號層級的功能性連結。方法：本研究招募三十二位高爾夫球選手，測量參與者靜息態腦波源訊號連結和推桿表現。相關分析用來探討靜息態腦波源訊號連結和推桿表現的關連。結果：左中額葉迴 (left middle frontal gyrus; L. MFG) 和上顳葉迴 (right superior temporal gyrus; R. STG) 間在Beta頻率段的連結強度與推桿進洞率有顯著正相關 (r = 0.72, p = 3.07 × 10-6)。結論：本研究使用源訊號分析進一步探討與運動表現有關的神經機制，並較精確定位出額葉與右顳葉區連結的訊號來源。這代表靜息態腦波功能性連結可以作為一個區別個體化推桿表現的工具。本研究展示了視覺空間相關的訊息與工作記憶或是與動作準備相關的歷程互相配合，在運動表現中的重要性。
Purpose: Former research in cognitive neuroscience domain were mainly focused on task-induced brain activity. However, accumulative evidences showed that our brain is active and functioning meaningfully even at resting-state. In the precision sport domain, most of the EEG study were focusing on task-related brain activity. The relationship between resting-state EEG and precision sports performance is still unclear. Therefore, the current research investigated the relationship between resting-state EEG and golf putting performance, especially by using the measure of source space functional connectivity. Methods: 32 golfers were recruited. Participants’ resting-state EEG and putting performance were measured. The relationship between resting-state EEG and putting performance was analysed by Spearman’s correlation analysis. Results: The connectivity strength between left middle frontal gyrus and right superior temporal gyrus in beta frequency is positively correlated with putting performance (r = 0.72, p = 3.07 × 10-6). Conclusions: The current research uses source connectivity to analyse the relationship between resting-state EEG and putting performance. It shows that resting-state EEG can detect the individual differences of putting performance. The results show that visual-spatial processing with working memory or motor preparation mechanism is crucial for leading to superior sport performance.
Purpose: Former research in cognitive neuroscience domain were mainly focused on task-induced brain activity. However, accumulative evidences showed that our brain is active and functioning meaningfully even at resting-state. In the precision sport domain, most of the EEG study were focusing on task-related brain activity. The relationship between resting-state EEG and precision sports performance is still unclear. Therefore, the current research investigated the relationship between resting-state EEG and golf putting performance, especially by using the measure of source space functional connectivity. Methods: 32 golfers were recruited. Participants’ resting-state EEG and putting performance were measured. The relationship between resting-state EEG and putting performance was analysed by Spearman’s correlation analysis. Results: The connectivity strength between left middle frontal gyrus and right superior temporal gyrus in beta frequency is positively correlated with putting performance (r = 0.72, p = 3.07 × 10-6). Conclusions: The current research uses source connectivity to analyse the relationship between resting-state EEG and putting performance. It shows that resting-state EEG can detect the individual differences of putting performance. The results show that visual-spatial processing with working memory or motor preparation mechanism is crucial for leading to superior sport performance.
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靜息態大腦活動, 精準性運動表現, 連結網路, 功能性連結分析, resting-state brain activity, precision sport performance, brain connectivity networks, functional connectivity analysis