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Feasibility Study of Skin Conductance Response for Quantifying Individual Dynamic Resilience

机译:用于量化个体动态弹性的皮肤电导响应的可行性研究

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Habituation responses to startle stimuli have been linked to individuals’ resilience assessment. Derived from skin conductance levels (SCL), individuals’ who elicit quicker habituation to startle stimuli typically report possessing higher trait resilience. However, this link has not yet been evaluated in the context of individuals’ dynamic resilience. This study examines whether the habituation of skin conductance response (SCR) could be used as a predictive measure for classifying individuals into high, moderate and low dynamic resilience groups. A dynamic decision-making task was paired with an acoustic startle paradigm, in which 53 participants were analyzed while being subjected to acoustic startle stimuli during the task. SCL of the participants were continuously recorded during the 24-minute trials. On the contrary to previous results in the literature supporting a link between skin conductance levels and trait resilience, current results did not show a solid predictive power toward quantification of dynamic resilience. However, the results act as a first step and open the way for further research to consider testing SCL measures as predictors of dynamic resilience in more ecological task environments than in controlled laboratory settings. These more ecological task environments may yield more SCL sensitivity for dynamic resilience measurement, as individuals will experience more naturally fluctuating task load and be required to activate various combinations of cognitive functions to cope with the task stressors.
机译:对Sightle Stimuli的习惯反应与个人的恢复性评估有关。来自皮肤电导水平(SCL),个人的个人习惯习惯于惊人的刺激,通常报告具有更高的特质弹性。但是,此链接尚未在个人的动态弹性的背景下进行评估。本研究探讨了皮肤电导反应(SCR)的习惯是否可以用作将个体分类为高,中等和低动态的弹性群体的预测措施。动态决策任务与声学爆发范例配对,其中在任务期间正在进行声学惊吓刺激的同时分析53名参与者。在24分钟的试验期间,参与者的SCL被持续记录。相反,与先前的结果,在关联皮肤电导水平和特征弹性之间的链接中,目前的结果并未显示出朝向量化动态弹性的固体预测力。然而,结果作为第一步,开辟了进一步研究的方式,以考虑将SCL措施考虑在更生态的任务环境中的动态弹性的预测因子而不是受控实验室设置。这些更生态的任务环境可以产生更多的动态弹性测量SCL灵敏度,因为个人将经历更自然的任务负载,并且需要激活认知功能的各种组合来应对任务压力源。

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