From Cell to Society: A New Method to Characterize Cardiac Autonomic Control

从细胞到社会：表征心脏自主控制的新方法

• 批准号: 7364111
• 负责人: Emilia Bagiella
• 金额: $ 32.2万
• 依托单位: COLUMBIA UNIVERSITY HEALTH SCIENCES
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-28 至 2011-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7364111
• 关键词: Autonomic nervous system; Behavior; Behavioral; Behavioral Medicine; Cardiac; Cardiology; Cell physiology; Cells; Characteristics; Clinical; Complex; Condition; Data; Data Analyses; Data Set; Discipline; Disease; Exercise; Frequencies; Funding; Goals; Hand; Hostility; Immunology; Inflammation; Inflammatory; Interdisciplinary Study; Link; Low Birth Weight Infant; Measures; Mediating; Mental Depression; Methodology; Methods; Myocardial Infarction; Numbers; Orthostasis; Outcome; Patients; Physiological; Physiology; Play; Pregnancy Outcome; Principal Component Analysis; Process; Psychophysiology; Race; Range; Regulation; Research; Research Personnel; Research Project Grants; Resources; Rheumatoid Arthritis; Role; Severities; Societies; Statistical Methods; Structure; System; Training; analytical method; base; behavioral/social science; computerized data processing; experience; indexing; mortality; novel; psychologic; response; skills; social; socioeconomics; statistics; technological innovation; trait

DESCRIPTION (provided by applicant): This application from a highly experienced and interdisciplinary team of investigators describes our approach to integrate a variety of research fields in response to the RFA: RM-07-004 entitled "Facilitating Interdisciplinary Research via Methodological and Technological Innovation in the Behavioral and Social Sciences (R21)". The autonomic nervous system (ANS) plays a critical role in integrating the social, psychological, and behavioral with various physiological systems and pathophysiological states. Several studies have shown links between the ANS and macro domains ranging from the social to the psychological to the behavioral. Other studies have demonstrated the role of the ANS in the micro domains of disease, from physiology to the cellular. The overall aim of this application is to use a novel statistical approach, functional data analysis, for the analysis of RR interval variability (RRV), an index of ANS activity, to relate social, behavioral, and psychological traits to clinical, physiological and inflammatory markers. The specific aims of this application focus on investigating whether extending statistical methods of functional data analysis to the analysis of the functional form of RRV a) enhances and/or elucidates the complex relationships between cardiac autonomic control, inflammatory processes, clinical cardiology outcomes, and behavioral and social factors, and b) explains the multi-dimensional aspect of these relationships. The methodological, clinical and interdisciplinary relevance of this application is that the new methodology discussed here might enable researchers to interpret more clearly and to analyze more efficiently RRV data, and to determine and understand the role of the ANS in connecting multiple disciplines, linking such diverse phenomena as social forces, psychological characteristics, and behaviors to any number of clinical conditions, basic physiology, and cellular activity. The autonomic nervous system (ANS) plays a critical role in integrating the social, psychological, and behavioral with various physiological systems and pathophysiological states. We introduce a novel statistical approach, functional data analysis, for the analysis of RR interval variability (RRV), an index of ANS activity. We hope to be able to better determine and understand the role of the ANS in connecting multiple disciplines.

描述（由申请人提供）：来自经验丰富且跨学科的研究人员的申请描述了我们在响应RFA的各种研究领域的方法：RM-07-004，题为“通过行为和社会科学方面的方法论和技术创新来促进跨学科研究（促进跨学科研究）”。自主神经系统（ANS）在将社会，心理和行为与各种生理系统和病理生理状态融合在一起中起着关键作用。几项研究表明，ANS与从社会到心理到行为的宏观领域之间的联系。其他研究证明了ANS在从生理到细胞的疾病微域中的作用。该应用的总体目的是使用一种新型的统计方法，功能数据分析，用于分析RR间隔可变性（RRV），即ANS活动的指数，将社会，行为和心理特征与临床，生理和炎症标记联系起来。该应用程序的具体目的是研究扩展功能数据分析的统计方法，以分析RRV的功能形式a）增强和/或阐明心脏自主神经控制，炎症过程，临床心脏病学结果以及行为和社会因素以及这些关系的多维方面的复杂关系。该应用的方法论，临床和跨学科的相关性是，这里讨论的新方法可能使研究人员能够更清楚地解释并更有效地分析RRV数据，并确定和理解ANS在连接多个学科中的作用，将这种多样化现象联系起来，将这种多样化现象联系起来，将社交力量，心理学特征和任何临床范围的临床学和临床学的行为与任何临床界的行为，以及临床的行为。自主神经系统（ANS）在将社会，心理和行为与各种生理系统和病理生理状态融合在一起中起着关键作用。我们介绍了一种新型的统计方法，功能数据分析，以分析RR间隔可变性（RRV），这是ANS活动的索引。我们希望能够更好地确定和理解ANS在连接多个学科中的作用。