Robust Characterization of Brain-Heart Coupling Across Development and Modulations by Disordered Sleep

脑心耦合在发育和睡眠障碍调节中的稳健表征

• 批准号: 10293076
• 负责人: Catherine Stamoulis
• 金额: $ 13.28万
• 依托单位: BOSTON CHILDREN'S HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-07-05 至 2023-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10293076
• 关键词: Acute; Address; Adverse effects; Affect; Age; Anatomy; Behavioral; Big Data; Blood; Brain; Cardiovascular Diseases; Cardiovascular Physiology; Cardiovascular system; Child; Childhood; Chronic; Clinical; Clinical Data; Clinical Research; Cognitive; Communication; Coupled; Coupling; Data; Data Set; Development; Disease; Electrocardiogram; Electroencephalography; Electrophysiology (science); Feedback; Functional disorder; Future; Goals; Health; Heart; Heart Atrium; Hormones; Human; Impairment; Intervention; Knowledge; Lead; Life; Longevity; Machine Learning; Measurable; Measures; Methods; Midbrain structure; Modeling; Morbidity - disease rate; Neurocognitive; Obstructive Sleep Apnea; Organ; Outcome; Pathway interactions; Patient observation; Patients; Physiological; Physiology; Polysomnography; Process; Property; Prosencephalon; Randomized; Regulation; Resources; Signal Transduction; Sleep; Sleep Apnea Syndromes; Sleep Deprivation; Sleep Disorders; Snoring; Statistical Models; Stroke; Structure; Supportive care; System; Time; Ventricular; Wakefulness; arm; cardiovascular health; clinical database; cognitive function; cohort; computerized tools; critical period; executive function; follow-up; heart function; improved; infancy; insight; interest; nervous system disorder; novel; postnatal; relating to nervous system; signal processing; sleep quality; stressor; tool; young adult

ABSTRACT Balanced communication between the brain and heart is critical to both cardiovascular and cognitive health. Although the anatomical pathways facilitating this communication have been well characterized, the electrodynamic coupling between the two systems remains elusive, particularly during development. A distributed network of brain structures that regulates cardiac function undergoes profound changes and reorganization during the first two decades of life. The impact of these anatomical changes and postnatal heart maturation on cerebro-cardiovascular coupling is poorly understood. Yet, this is a fundamental mechanism that, if impaired, may lead to significant deficits in both systems. At the macroscale of the intact human brain and heart, simultaneously acquired electrophysiological data may provide transformative new insights into both electrodynamic system coupling and its modulation by disorders and stressors. To date, the adverse effects of such stressors, particularly unhealthy sleep associated with Obstructive Sleep Apnea (OSA), a disorder that affects up to 10% of children in the US, on this electrodynamic coupling during wakefulness and sleep remain poorly understood. This project aims to significantly improve the field’s knowledge through two potentially transformative contributions. Aim 1 will develop a blueprint of normal electrodynamic interaction between the developing brain and heart, during wakefulness and sleep, by leveraging the large volume of existing data from clinical physiological studies (which include both EEG and ECG) from patients with no evidence of underlying disease. A total of n ~= 1400 patients, with simultaneous EEG and ECG, spanning in age infancy to young adulthood will be analyzed using cutting-edge signal and machine learning tools and models, to establish a typical developmental trajectory of the electrodynamic interaction between the brain and heart. Aim 2 will use this blueprint to systematically investigate the adverse impact of disordered sleep on cerebro-cardiovascular coupling in 453 children with OSA (ages 5-10 years) and ~400 children with snoring (who did not meet criteria for OSA), using publicly available polysomnography data from the Childhood Adenotonsillectomy Trial (CHAT). Dynamic EEG-ECG interactions at baseline and follow up will be compared to normal system coupling in the same age range, estimated in Aim 1. Deviations from normative coupling will be investigated as a function of cognitive outcomes. Clinical physiology/polysomnography studies contain a wealth of valuable information but remain severely underutilized. This project will leverage these Big Data to robustly characterize a fundamental yet currently elusive mechanism that may affect both cognitive and cardiovascular health across the lifespan. In addition, the establishment of a normative developmental trajectory of cerebro-cardiovascular coupling may become a significant research resource for future studies. Findings may provide transformative insights into the communication between the two organs, necessary to maintain their respective long-term health.

抽象的 大脑和心脏之间的平衡沟通对于心血管和认知健康至关重要。 尽管支持这种交流的解剖途径已经很好地表征了 两个系统之间的电动力耦合仍然难以捉摸，尤其是在开发过程中。一个 调节心脏功能的大脑结构的分布式网络经历了深刻的变化，并且 在生命的头二十年中重组。这些解剖学变化和产后心脏的影响 脑血管血管耦合上的成熟程度鲜为人知。但是，这是一种基本机制 如果受损，这可能会导致两个系统中的显着定义。在完整的人脑的宏观上 心脏，轻松获得的电生理数据可能会为两者提供变革性的新见解 电动力系统耦合及其通过疾病和压力源调节。迄今为止， 这样的压力源，尤其是与阻塞性睡眠呼吸暂停（OSA）相关的不健康睡眠，这种疾病是 在美国的这种电动耦合和睡眠期间，在美国影响多达10％的儿童 理解不佳。该项目旨在通过两个可能的两个 变革性贡献。 AIM 1将形成正常电动相互作用的蓝图 在清醒和睡眠期间，通过利用大量现有数据来发展大脑和心脏 临床生理研究（包括脑电图和ECG）的患者，没有基本证据 疾病。总共n〜 = 1400例患者，脑电图和心电图简单，年龄跨越年轻患者 将使用尖端信号和机器学习工具和模型对成年进行分析，以建立一个 大脑和心脏之间电动力相互作用的典型发育轨迹。 AIM 2将使用 这种蓝图有系统地研究无序睡眠对脑血管血管的不利影响 与453名OSA儿童（5-10岁）和约400名打呼nord的儿童（他们不符合条件 对于OSA），使用儿童腺乳房切除术试验（CHAT）中的公开可用的多聚会学数据。 基线和随访时的动态EEG-ECG相互作用将与正常系统耦合进行比较 在AIM 1中估计的年龄范围相同的年龄范围。将研究与正常耦合的偏差。 认知结果。临床生理学/多渗透学研究包含大量有价值的信息，但 严重未充分利用。该项目将利用这些大数据来稳健地表征一个基本 然而，目前难以捉摸的机制可能会影响整个生命周期的认知和心血管健康。 此外，建立了脑血管血管耦合的正常发育轨迹可能 成为未来研究的重要研究资源。调查结果可能会为您提供的变革性见解 两个器官之间的沟通，以维持各自的长期健康。