Physiological Arousal and Headache

生理唤醒和头痛

• 批准号: 9133476
• 负责人: TIMOTHY T HOULE
• 金额: $ 42.61万
• 依托单位: MASSACHUSETTS GENERAL HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-05-15 至 2019-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9133476
• 关键词: Algorithms; Arousal; Bayesian Modeling; Behavior Therapy; Calibration; Chronic Headaches; Clinical; Data; Diagnosis; Elements; Fasting; Frequencies; Fright; Funding; Future; Headache; Headache Disorders; Health; Individual; Knowledge; Learning; Life; Medicine; Migraine; Modeling; Patient Care; Patients; Persons; Pharmaceutical Preparations; Physiological; Research; Risk; Risk Estimate; Role; Stress; Testing; Thinking; Time; Trier Social Stress Test; Variant; design; experience; improved; information model; longitudinal design; prophylactic; treatment strategy

 DESCRIPTION (provided by applicant): Nearly half (48%) of the world suffers from a headache disorder, with 11% suffering from migraine headache. Because we do not know what causes headaches, treatment either consists of treating attacks once they occur, or attempting to reduce the frequency of attacks using daily prophylactic medications or behavioral therapies. For the vast majority of individuals, management typically involves waiting for an attack to begin and then treating the attack with medication. We have begun to show that individual headache attacks are predictable using a stress-arousal model, and that this information could be used to forecast headache risk to an individual sufferer over time. Building forecasting capabilities will require both an enhanced understanding of the causes of headache, and substantial experience in applying a forecasting algorithm across a diverse range of headache sufferers. These capabilities could be used to reduce headache burden, enhance treatment, and create more research opportunities for the study of headache. This application has the following aims: Aim 1: To formally examine the stress-arousal model in eliciting headaches using the Trier Social Stress Test (TSST) and a Fasting Test (FT). Aim 2: To examine the utility of a headache forecasting algorithm in a diverse group of headache sufferers.

 描述（由适用提供）：世界上将近一半（48％）患有头障碍，其中11％患有偏头痛。因为我们不知道原因是什么原因导致头部，所以治疗要么包括一旦发生攻击，要么试图使用日常预防药物或行为疗法来减少攻击频率。对于绝大多数人来说，管理层通常涉及等待攻击开始，然后用药物治疗攻击。我们已经开始表明，使用应力 - 曲线模型可以预测单个标头攻击，并且可以使用此信息来预测随着时间的流逝，对个别患者的标头风险。构建预测功能将需要增强对标头原因的了解，以及在应用于潜水员范围的头部患者范围内应用预测算法方面的丰富经验。这些功能可用于减轻标题负担，增强治疗，并为Headerche研究创造更多的研究机会。该应用程序具有以下目的：目标1：使用TRIER社会压力测试（TSST）和禁食测试（FT）正式检查引起标题的应力 - 呈现模型。目标2：检查标题预测算法的效用，在众多的headerche患者中。