Physiological Arousal and Headache

 描述(申请人提供)：世界上近一半(48%)的人患有头痛障碍，其中11%的人患有偏头痛。由于我们不知道是什么导致头痛，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的频率。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头痛患者的风险。建立预测能力将需要加强对头痛原因的理解，以及在将预测算法应用于不同范围的头痛患者方面的丰富经验。这些能力可以用来减轻头痛负担，提高治疗水平，并为头痛的研究创造更多的研究机会。本应用程序有以下目的：目标1：使用Trier社会压力测试(TSST)和空腹测试(FT)正式检验引起头痛的压力-唤醒模型。目的2：检验头痛预测算法在不同头痛患者群体中的实用性。

 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.