Brain Imaging and Pain: Analysis of Placebo Analgesia

脑成像和疼痛：安慰剂镇痛分析

• 批准号: 8582061
• 负责人: Michael E ROBINSON
• 金额: $ 34.54万
• 依托单位: UNIVERSITY OF FLORIDA
• 依托单位国家: 美国
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-03-15 至 2015-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8582061
• 关键词: Absence of pain sensation; Accounting; Address; Affective; American; Amygdaloid structure; Analgesics; Anterior; Anxiety; Behavioral; Bilateral; Biological Neural Networks; Brain; Brain imaging; Brain region; Characteristics; Client satisfaction; Clinical; Cognitive; Data; Dimensions; Equation; Esthesia; Feedback; Functional Magnetic Resonance Imaging; Funding; Fusiform gyrus; Goals; Hypothalamic structure; Insula of Reil; Knowledge; Lead; Left; Medial; Modeling; Outcome; Pain; Parahippocampal Gyrus; Pathway Analysis; Pattern; Placebos; Population; Prefrontal Cortex; Process; Protocols documentation; Psychological Factors; Psychophysics; Research; Sensory; Somatosensory Cortex; Stimulus; Structure; Structure of middle temporal gyrus; Techniques; Temporal Lobe; Thalamic structure; Time; Visit; Work; cingulate cortex; expectation; experience; frontal lobe; improved; information processing; neuroimaging; psychologic; public health relevance; somatosensory; success; tool

DESCRIPTION (provided by applicant): In this competitive renewal application, we propose to extend our research on the underlying mechanisms of endogenous pain modulation via placebo analgesia. Specifically, we aim to investigate the temporal characteristics of the neural networks associated with processing different aspects of pain related information. Previous funding allowed us to develop and refine the ecologically valid techniques and brain imaging protocols routinely used to study pain in asymptomatic and clinical populations. With these tools, we have shown that the brain regions within a general cognitive/affective network have distinct interaction profiles in painful and placebo analgesic conditions. In this proposal, we will refine these techniques to improve the identification of brain regions (i.e., neural networks) associated with processing specific facets of pain related information, and how that information is processed over time (i.e., modeling the temporal characteristics of information processing within and between conditions, and across different neural networks). The three specific aims of this proposal will allow us to reach these goals. In Aim 1, we will differentiate the neural networks primarily associated with afferent pain processing from cognitive-affective pain modulation using behavioral, psychophysical, and fMRI data. For Aim 2, we will detail the brain regions that comprise the neural networks involved with specific facets of pain and pain modulation (e.g., anxiety and expectation). Once the neural networks have been identified, in Aim 3, we will describe the temporal characteristics and interactions of these networks as they process information within and between conditions. The results from Aim 3 will help clarify and account for the changes in neural networks that accompany changes in behavioral pain ratings. These aims require the combination of psychological, psychophysical, structural and functional MRI data and advanced statistical analyses, all of which we have extensive experience and expertise with, and thus are confident in the success of this project.

描述（由申请人提供）：在这种竞争性更新应用中，我们建议通过安慰剂镇痛扩展对内源性疼痛调节的潜在机制的研究。具体而言，我们旨在研究与处理相关信息的不同方面相关的神经网络的时间特征。以前的资金使我们能够制定和完善对生态有效的技术和脑成像方案，通常用于研究无症状和临床人群的疼痛。使用这些工具，我们已经表明，在疼痛和安慰剂镇痛疾病中，一般认知/情感网络中的大脑区域具有不同的相互作用曲线。在该提案中，我们将完善这些技术，以改善与处理与疼痛相关信息的特定方面以及如何随着时间（即​​对条件内部和条件之间以及不同神经网络之间的信息处理的时间特征建模）处理的大脑区域（即神经网络）的识别（即神经网络）。该提案的三个具体目标将使我们能够实现这些目标。在AIM 1中，我们将使用行为，心理物理和fMRI数据来区分主要与传入疼痛处理与认知影响疼痛调节的神经网络。对于AIM 2，我们将详细介绍构成与疼痛和疼痛调节特定方面（例如焦虑和期望）相关的神经网络的大脑区域。一旦确定了神经网络，在AIM 3中，我们将描述这些网络在条件内和条件之间处理信息时的时间特征和相互作用。 AIM 3的结果将有助于澄清并说明伴随行为疼痛等级变化的神经网络的变化。这些目的需要心理，心理物理，结构和功能性MRI数据以及高级统计分析的结合，我们所有这些都具有丰富的经验和专业知识，因此对该项目的成功充满信心。