Dynamical Systems Tools: Modeling multi-level processes in parent-child relations

描述（由申请人提供）：目前的NIH路线图拨款提案旨在利用跨学科合作获得的见解，开发和整合两种互补的方法学工具，旨在评估和建模动态系统框架内的多层次个体功能。通过整合工程，发展心理病理学和定量心理学的不同学科的独特贡献，以促进评估和分析能力和方法的共同愿景。我们的意图是，这种跨学科伙伴关系所产生的工具将进一步了解父母和儿童在多个功能层面上发生的动态耦合过程以及对身心健康结果的相关影响。该研究应用的具体目标是：1）开发用于不引人注目的基于微粒的无线感测系统的协议、算法和传感器，该无线感测系统将通过在压力诱导范例中的现场交互期间在母亲和儿童之间的真实的时间、共同发生的生理和行为过程期间仅捕获相关数据来减少能量使用和存储器需求; 2）利用这些数据开发和改进利用潜微分方程建模的新的动力系统方法;以及3）研究社会经济地位和儿童虐待对动态协同调节生理和行为过程变化的影响，以促进对这些过程的调节差异对身心健康的影响的理解。为了实现这些目标，研究小组将利用来自压力水平不同的家庭的母子互动的观察范式，以开发一种基于微尘的无线传感系统，用于提取行为和生理数据。从这些评估中获得的数据将用于开发动态建模技术。最后，该团队将合作建立一个综合评估和建模工具，用于未来研究工作的传播。本申请中要开发的工具将引起跨不同使命优先事项和研究目标的几个NIH研究所的极大兴趣。这里开发的工具将有许多应用程序，用于评估生理和行为过程的年龄跨度（相关NIA）和其他生态环境（相关IEHS）。母亲和儿童之间的过程建模和相关的发展，身体和心理健康的结果将是相关的NICHD和NIMH。最后，国家Hearth肺和血液研究所将能够利用传感器的复杂性来检查与心脏功能和健康结果有关的研究。本案无关从这个项目产生的工具将具有重要的公共卫生意义，通过推导出新的方法来调查来自不同生态位的个人和家庭的压力的生理和行为调节的动态模式。这些工具将有可能导致新的发现，即早期压力调节中的异常如何导致身心健康障碍的风险。

DESCRIPTION (provided by applicant): The current proposal for this NIH Roadmap grant is designed to utilize insights gained from interdisciplinary collaboration to develop and integrate two complementary methodological tools aimed at assessing and modeling multiple levels of individual functioning within a dynamical systems framework. Through integrating unique contributions from the diverse disciplines of Engineering, Developmental Psychopathology, and Quantitative Psychology in service of a shared vision of furthering assessment and analysis capabilities and methodologies. It is our intent that the tools arising from this interdisciplinary partnership will further understanding of dynamic, coupled processes occurring at multiple levels of functioning in parents and children and associated implications for physical and mental health outcomes. The specific aims of the research application are: 1) to develop protocols, algorithms and sensors for unobtrusive mote-based wireless sensing systems that will reduce energy usage and memory requirements by capturing only relevant data during real- time, co-occurring physiological and behavioral processes among mothers and children during live interactions in a stress-inducing paradigm; 2) to utilize these data to develop and refine new dynamical systems methods utilizing latent differential equations for modeling; and 3) to examine the influence of socioeconomic status and child maltreatment on variation in dynamic co-regulating physiological and behavioral processes, in order to advance understanding of the implications of differences in regulation of these processes for physical and mental health. To achieve these aims, the research team will utilize observational paradigms of mother-child interaction from families who differ in levels of stress in order to develop a mote-based wireless sensing system for extracting behavioral and physiological data. The data obtained from these assessments will then be used to develop the dynamic modeling techniques. Finally, the team will collaborate on building an integrated assessment and modeling tool for dissemination for future research endeavors. The tools to be developed in the present application will be of substantial interest to several NIH institutes cutting across different mission priorities and research objectives. The tools developed here will have many applications for assessing physiological and behavioral processes across the age span (of relevance to NIA) and in other ecological contexts (of relevance to IEHS). The modeling of processes between mothers and children and associated developmental, physical and mental health outcomes will be of relevance to both NICHD and NIMH. Finally, the National Hearth Lung and Blood Institute will be able to utilize the sophistication of the sensors in examining research pertaining to cardiac functioning and health outcomes. Relevance. The tools produced from this project will have important public health significance through the derivation of new methods for investigating dynamic patterns of physiological and behavioral regulation of stress in individuals and families from varying ecological niches. The tools will have the potential to lead to new discoveries of how aberrations in early stress regulation contribute to risk for physical and mental health disorders.