Physiological Arousal and Headache

生理唤醒和头痛

• 批准号: 9315919
• 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/9315919
• 关键词: Algorithms; Arousal; Bayesian Modeling; Behavior Therapy; Calibration; Chronic Headaches; Clinical; Data; Diagnosis; Elements; Fasting; Frequencies; Fright; Funding; Future; Headache; Headache Disorders; Individual; Knowledge; Learning; Medicine; Migraine; Modeling; Patient Care; Patients; Persons; Pharmaceutical Preparations; Physiological; Research; Risk; Risk Estimate; Role; Stress; Testing; Time; Trier Social Stress Test; Variant; design; experience; improved; longitudinal design; predictive modeling; prophylactic; public health relevance; 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（由申请人提供）：世界上近一半（48%）的人患有头痛疾病，其中11%患有偏头痛。因为我们不知道是什么原因导致头痛，治疗要么包括一旦发作就进行治疗，要么尝试使用日常预防性药物或行为疗法来减少发作频率。对于绝大多数人来说，管理通常包括等待发作开始，然后用药物治疗发作。我们已经开始表明，使用压力唤醒模型可以预测个体头痛发作，并且这些信息可以用来预测随着时间的推移个体患者的头痛风险。建立预测能力既需要对头痛原因的深入了解，也需要在不同头痛患者中应用预测算法的丰富经验。这些能力可用于减轻头痛负担，加强治疗，并为头痛的研究创造更多的研究机会。本申请具有以下目的：目的1：使用特里尔社会压力测试（TSST）和空腹测试（FT）正式检查引起头痛的压力唤醒模型。目的2：研究头痛预测算法在不同头痛患者群体中的效用。