HCC: Small: Investigating the temporal dynamics of resilience during human-computer interaction: an EEG-fNIRS study

许多人一天中的部分时间都在紧张的环境中度过，众所周知，这是导致精疲力竭、工作效率下降和许多其他健康风险的主要因素，而一些人(包括例如空中交通管制员、士兵和急救人员)在高压力环境中工作似乎没有任何不良影响。为什么某些人在高压力下比其他接受过类似训练的人表现得更好，这一点尚不清楚。韧性，即在紧张的事件中保持表现的能力，是在这样的环境中工作的健康个人的关键属性。由于复原力对人类福祉和任务绩效具有重要影响，因此需要确定容易受到压力相关绩效下降影响的健康个人，最好是在实际压力下的绩效下降之前，以促进集中干预的提供，这可能有助于防止临床应激障碍的发展，这对个人和整个社会都构成了巨大的负担。这个项目将从根本上提高我们对压力弹性的理解，解决现有压力弹性测量的局限性，并确定潜在的压力弹性生物标记物。项目成果将有助于评估健康个体的能力，这些健康个体必须在面对不断升级的认知需求时保持表现，如急诊室人员和急救员，预测他们的预期变化随时间的变化，以及申请者在具有挑战性的操作环境中招募职业的适宜性。本研究的目的是识别神经特征，并利用动态弹性的神经生理学特征开发任务绩效的预测模型。这项工作将利用混合脑电-fNIRS和社区检测技术来跟踪应激状态下人机交互过程中的大脑组织。将脑电和fNIRS结合起来，比单独使用任何一种方法都有很大潜力提供对压力韧性的更深层次的了解。这项研究中采用的动态功能连接性方法可能会提供对潜在弹性的神经过程的洞察，而所确定的动态网络测量可能作为应激弹性的潜在生物标记物。该项目不仅将加强关于弹性时间动力学和神经适应之间关系的科学知识，还将提供新的动态弹性生物标记物，可用于确定人类在高风险职业环境中的表现极限。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

Many people spend part of the day in stressful conditions, which are known in general to be a major contributor to burnout, diminished productivity, and numerous other health risks, whereas some people (including for example air traffic controllers, soldiers, and first responders) work in high stress environments seemingly with no ill effects. Why certain individuals perform better under high stress than others with similar training remains unexplored. Resilience, the ability to maintain performance during stressful events, is a crucial attribute of healthy individuals who work in such environments. Because resilience has important implications for human well-being and task performance, there is a need to identify healthy individuals who are vulnerable to stress-related performance decline, preferably prior to actual performance under stress, to facilitate delivery of focused intervention that might help prevent the development of clinical stress disorders that pose a tremendous burden both for the individual and for society in general. This project will fundamentally advance our understanding of stress resilience by addressing the limitations of existing stress resilience measures and identifying potential biomarkers of stress resilience. Project outcomes will contribute to the assessment of the capabilities of healthy individuals who must maintain performance in the face of escalating cognitive demands such as emergency room personnel and first responders, prediction of their expected variation over time, and applicant suitability of recruitment for occupations within challenging operating environments.The objective of this research is to identify neural signatures, and to develop predictive models of task performance using neurophysiological features of dynamic resilience. This work will utilize hybrid EEG-fNIRS and community detection techniques to track brain organization during human-computer interaction under stress. Combining both EEG and fNIRS has great potential to provide deeper insight into stress resilience than either modality could alone. The dynamic functional connectivity approach employed in this study will likely provide insight into neural processes underlying resilience, while the dynamic network measures identified may serve as potential biomarkers for stress resilience. This project will not only enhance scientific knowledge on the relationship between temporal dynamics of resilience and neural adaptations but will also provide novel dynamic resilience biomarkers that may be used to determine the limits of human performance in high-stakes occupational settings.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.