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

描述(由申请人提供)：NIH路线图赠款的当前提案旨在利用从跨学科合作中获得的见解来开发和整合两种互补的方法工具，旨在评估和模拟动态系统框架内的多个个人功能水平。通过整合工程学、发展精神病理学和定量心理学不同学科的独特贡献，为促进评估和分析能力和方法的共同愿景服务。我们的意图是，这种跨学科伙伴关系产生的工具将进一步了解在父母和孩子的多个功能水平上发生的动态、耦合的过程以及对身心健康结果的相关影响。研究应用的具体目标是：1)开发基于尘埃的隐蔽无线传感系统的协议、算法和传感器，通过在压力诱导范式中仅捕获母亲和儿童在生活互动期间实时、共生的生理和行为过程中的相关数据，来减少能量使用和内存需求；2)利用这些数据来开发和完善新的动力学系统方法，利用潜在的微分方程进行建模；以及3)检查社会经济状况和儿童虐待对动态共同调节生理和行为过程中变化的影响，以促进对这些过程调控差异对身心健康影响的理解。为了实现这些目标，研究小组将利用不同压力水平家庭的母子互动观察范式，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。然后将使用从这些评估中获得的数据来开发动态建模技术。最后，该团队将合作建立一个综合评估和建模工具，以便为未来的研究工作进行传播。将在本申请中开发的工具将对跨越不同任务优先事项和研究目标的几个NIH研究所产生重大兴趣。这里开发的工具将有许多应用来评估跨年龄跨度的生理和行为过程(与NIA相关)，并在其他生态环境中(与IEHS相关)。对母亲和儿童之间的过程以及相关的发育、身体和心理健康结果的建模将与NICHD和NIMH都有关。最后，国家炉肺和血液研究所将能够利用传感器的尖端技术来审查与心脏功能和健康结果有关的研究。关联性。该项目产生的工具将具有重要的公共卫生意义，通过推导新的方法来研究来自不同生态位的个人和家庭应激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.