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）：这是一个经验丰富的跨学科研究团队的申请，描述了我们为响应RFA: RM-07-004“通过行为和社会科学的方法和技术创新促进跨学科研究（R21）”而整合各种研究领域的方法。自主神经系统（autonomic nervous system， ANS）在整合社会、心理、行为以及各种生理系统和病理生理状态方面起着至关重要的作用。几项研究表明，ANS与宏观领域之间存在联系，从社会到心理再到行为。其他研究已经证明了ANS在疾病的微观领域中的作用，从生理学到细胞。本应用程序的总体目标是使用一种新的统计方法，功能数据分析，用于分析RR区间变异性（RRV）， ANS活动指数，将社会，行为和心理特征与临床，生理和炎症标志物联系起来。该应用程序的具体目的是研究是否将功能数据分析的统计方法扩展到RRV的功能形式分析a)增强和/或阐明心脏自主控制，炎症过程，临床心脏病学结果以及行为和社会因素之间的复杂关系，以及b)解释这些关系的多维方面。该应用的方法学、临床和跨学科相关性在于，本文讨论的新方法学可能使研究人员能够更清楚地解释和更有效地分析RRV数据，并确定和理解ANS在连接多学科中的作用，将社会力量、心理特征和行为等多种现象与任何数量的临床状况、基本生理学和细胞活动联系起来。自主神经系统（autonomic nervous system， ANS）在整合社会、心理、行为以及各种生理系统和病理生理状态方面起着至关重要的作用。我们引入了一种新的统计方法，功能数据分析，用于分析RR区间变异性（RRV），这是ANS活动的一个指标。我们希望能够更好地确定和理解ANS在连接多学科方面的作用。