Predictive Processing in Sport and Exercise Science: A Scoping Review and Theoretical Overview.

IF 6.2 2区 医学 Q1 SPORT SCIENCES
David J Harris, Callum A O'Malley, Damian Beck, Stephan Zahno, Thomas Arthur
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引用次数: 0

Abstract

Background: This scoping review explored the application of predictive processing in sport and exercise science, examining how cognitive and computational models have been used to understand perceptual-motor skills, decision-making, and physical performance. The review provides a tutorial introduction to key concepts in the predictive processing literature and maps the extent of research in this area, identifying key domains of application and the level of empirical support.

Methods: A systematic search of EMBASE, Medline, PsycINFO, and SPORTDiscus databases was performed, adhering to JBI methodology and the PRISMA Extension for Scoping Reviews.

Results: Twenty relevant empirical studies were discovered across all domains of sport and exercise science. Despite promising evidence, the review also uncovers significant gaps, particularly in comparing predictive-processing-specific mechanisms to alternative theories and exploring the broader implications of predictive processing for skill acquisition and training interventions.

Conclusions: Based on these findings, the review outlines recommendations for future research, calling for more targeted investigations that empirically test predictive processing predictions and an expansion of this approach to new areas of sport science.

预测加工在运动和运动科学:一个范围审查和理论概述。
背景:这篇综述探讨了预测处理在体育和运动科学中的应用,研究了认知和计算模型如何被用来理解感知运动技能、决策和身体表现。这篇综述提供了预测处理文献中关键概念的教程介绍,并绘制了该领域研究的范围,确定了关键的应用领域和经验支持水平。方法:系统检索EMBASE、Medline、PsycINFO和SPORTDiscus数据库,遵循JBI方法学和PRISMA扩展范围评价。结果:在体育和运动科学的各个领域发现了20项相关的实证研究。尽管有很好的证据,但该综述也发现了重大的差距,特别是在比较预测处理特定机制与替代理论以及探索预测处理对技能习得和培训干预的更广泛影响方面。结论:基于这些发现,综述概述了对未来研究的建议,呼吁进行更有针对性的调查,以经验检验预测处理预测,并将这种方法扩展到体育科学的新领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Sports Medicine - Open
Sports Medicine - Open SPORT SCIENCES-
CiteScore
7.00
自引率
4.30%
发文量
142
审稿时长
13 weeks
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