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

HCC：小：研究人机交互过程中弹性的时间动态：一项 EEG-fNIRS 研究

• 批准号: 2232869
• 负责人: Joseph Nuamah
• 金额: $ 23.01万
• 依托单位: Oklahoma State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-05-15 至 2025-04-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2232869&HistoricalAwards=false
• 关键词: HCC; Small; Investigating; temporal; dynamics

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.

许多人一天中有一部分时间处于压力环境中，这通常是导致倦怠、生产力下降和许多其他健康风险的主要原因，而有些人（包括空中交通管制员、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，这一点尚未得到研究。适应力，即在压力事件中保持表现的能力，是在这种环境中工作的健康个体的关键属性。由于复原力对人类福祉和任务绩效具有重要影响，因此有必要确定易受压力相关绩效下降影响的健康个体，最好是在压力下的实际绩效下降之前，以便提供重点干预，可能有助于预防临床压力障碍的发展，这种障碍对个人和整个社会都构成巨大负担。该项目将通过解决现有压力恢复措施的局限性和确定压力恢复的潜在生物标志物，从根本上推进我们对压力恢复的理解。项目成果将有助于评估健康个体的能力，这些个体在面对不断升级的认知需求（如急诊室人员和第一响应者）时必须保持表现，预测其随时间的预期变化，以及在具有挑战性的操作环境中招聘申请人的适用性。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特征开发任务表现的预测模型。这项工作将利用混合脑电图-近红外光谱和社区检测技术来跟踪压力下人机交互过程中的大脑组织。结合EEG和fNIRS比单独使用任何一种方式都更有可能提供对压力恢复能力的更深入的了解。本研究中采用的动态功能连接方法可能会深入了解应激恢复的神经过程，而确定的动态网络测量可能作为应激恢复的潜在生物标志物。该项目不仅将加强对弹性时间动态与神经适应之间关系的科学认识，而且还将提供新的动态弹性生物标志物，可用于确定高风险职业环境中人类表现的极限。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。