Development of an Effector-Specific Stop Signal Task with Higher Complexity: A Proof-of-Concept Study.

IF 1.1 4区 心理学 Q4 NEUROSCIENCES
Daghan Piskin,Alli Gokeler,Yin-Hsuan Chen,Jochen Baumeister
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引用次数: 0

Abstract

The present study aims to develop and present a proof-of-concept for a stop signal task with effector-specificity and higher complexity. Sixteen participants performed a stop signal task developed for lower extremities using Fitlight System™. The effect of four different delays and two sessions on response time, stop signal reaction time and accuracy was assessed using two-way repeated-measures ANOVA. The reliability of outcomes was assessed using intraclass correlation coefficients. There was a significant main effect of delay on all outcomes and an interaction of delay and session on accuracy. The reliability of outcomes was substantial with dependency on delays. Our preliminary findings suggest the feasibility of stop signal principles within more complex movements and provide an example for the development of further tests in sports context.
开发复杂度更高的特定效应器停止信号任务:概念验证研究
本研究旨在开发并展示一种具有效应器特异性和更高复杂性的停止信号任务的概念验证。16 名参与者使用 Fitlight System™ 完成了一项专为下肢开发的停止信号任务。采用双向重复测量方差分析评估了四种不同延迟和两次训练对反应时间、停止信号反应时间和准确性的影响。使用类内相关系数评估了结果的可靠性。延迟对所有结果都有明显的主效应,延迟和训练对准确性有交互作用。结果的可靠性与延迟有很大关系。我们的初步研究结果表明,在更复杂的动作中使用停止信号原理是可行的,并为在体育运动中开展进一步测试提供了范例。
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来源期刊
Journal of Motor Behavior
Journal of Motor Behavior 医学-神经科学
CiteScore
3.10
自引率
0.00%
发文量
39
审稿时长
>12 weeks
期刊介绍: The Journal of Motor Behavior, a multidisciplinary journal of movement neuroscience, publishes articles that contribute to a basic understanding of motor control. Articles from different disciplinary perspectives and levels of analysis are encouraged, including neurophysiological, biomechanical, electrophysiological, psychological, mathematical and physical, and clinical approaches. Applied studies are acceptable only to the extent that they provide a significant contribution to a basic issue in motor control. Of special interest to the journal are those articles that attempt to bridge insights from different disciplinary perspectives to infer processes underlying motor control. Those approaches may embrace postural, locomotive, and manipulative aspects of motor functions, as well as coordination of speech articulators and eye movements. Articles dealing with analytical techniques and mathematical modeling are welcome.
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