权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

fMRI Resting State Networks in Chronic Pain

慢性疼痛中的功能磁共振成像静息态网络

基本信息

批准号：
8111294
负责人：
DANTE R CHIALVO
金额：
$ 27.29万
依托单位：
BRENTWOOD BIOMEDICAL RESEARCH INSTITUTE
依托单位国家：
美国
项目类别：
财政年份：
2008
资助国家：
美国
起止时间：
2008-07-01 至 2013-06-30
项目状态：
已结题

项目摘要

DESCRIPTION (provided by applicant): Chronic pain remains a primary reason for people seeking health care, which, if untreated, can lead to depression, insomnia, depressed immune function, changes in eating patterns, and other long-term deleterious effects. Chronic pain patients have a fluctuating but persistent spontaneous pain percept and therefore their brain, compared with healthy subjects, is never truly at rest. The overall objective of this project is to identify the nature and long-term consequences of the burden imposed by this unrest condition on the well being of the brain. This objective is greatly facilitated by recent fMRI results in healthy subjects which have identified the subset of cortical areas active during idle or passive mental processes engaged in the so called "Resting State Networks" (RSN). Aim I is to identify the brain regions comprising the RSNs in chronic low back pain patients as compared with those in healthy subjects. Aim II will determine the functional interactions between the components of each RSN in patients and normal subjects to better understand the basic cortical mechanisms at work in chronic pain. Finally Aim III will determine gender differences and hormonal dependence in the organization of these Resting State Networks, both in health and disease. FMRI data will be collected from healthy subjects and pain patients and analyzed with multivariate techniques such as Probabilistic Independent Component Analysis, which as shown in our preliminary results is able to unambiguously identify the major components involved in the RSN. The validation of the composition of each resting state and chronic pain networks will be conducted by hypothesis-driven General Linear Model bivariate analysis based on the current understanding of the cortical involvement in chronic pain. Since the identification of the spatio-temporal components of resting state network in chronic pain patients equals to a precise knowledge of "where the pain is in the brain", its successful uncovering will dramatically change our understanding of the brain areas responsible for chronic pain. This knowledge should impact both the experimental approach in the study of pain using fMRI, and the diagnosis and therapy outcome of this invalidating disease. PUBLIC HEALTH RELEVANCE There is accumulated evidence indicating that chronic pain if untreated, can lead to depression, insomnia, depressed immune function, changes in eating patterns, and other long- term deleterious effects. Chronic pain patients have a fluctuating but persistent spontaneous pain percept and therefore their brain, compared with healthy subjects, is never truly at rest. The project will isolate the components of the brain network subserving the resting state in chronic pain patients such us to identify the effect of the burden imposed by this unrest condition on the long term well being of the brain. This precise knowledge of "where the pain is in the brain", will dramatically change our understanding of the brain areas responsible for chronic pain, impacting both the experimental approaches in the study of pain using fMRI, and the diagnosis and therapy outcome of this invalidating disease.

描述（由申请人提供）：慢性疼痛仍然是人们寻求医疗保健的主要原因，如果不治疗，可能导致抑郁症，失眠，免疫功能低下，饮食模式改变和其他长期有害影响。慢性疼痛患者具有波动但持续的自发性疼痛感受，因此与健康受试者相比，他们的大脑从未真正休息过。该项目的总体目标是确定这种不安状况对大脑健康造成的负担的性质和长期后果。这一目标是大大促进了最近的功能磁共振成像结果在健康的主题，已确定的子集的皮质区活跃在空闲或被动的心理过程中从事所谓的“静息状态网络”（RSN）。目的I是确定慢性下腰痛患者与健康受试者的RSN组成的脑区。目的II将确定患者和正常受试者的每个RSN的组件之间的功能相互作用，以更好地了解慢性疼痛中工作的基本皮质机制。最后，目标三将确定这些休息国家网络组织在健康和疾病方面的性别差异和激素依赖。将从健康受试者和疼痛患者中收集功能磁共振成像数据，并使用多变量技术进行分析，例如概率独立成分分析，如我们的初步结果所示，它能够明确识别RSN中涉及的主要成分。基于目前对慢性疼痛中皮质参与的理解，将通过假设驱动的一般线性模型双变量分析对每个静息状态和慢性疼痛网络的组成进行验证。由于慢性疼痛患者静息状态网络的时空成分的识别相当于对“疼痛在大脑中的位置”的精确认识，它的成功揭示将极大地改变我们对慢性疼痛负责的大脑区域的理解。这些知识将影响使用功能磁共振成像研究疼痛的实验方法，以及这种无效疾病的诊断和治疗结果。公共卫生相关性有积累的证据表明，慢性疼痛如果不治疗，可导致抑郁症、失眠、免疫功能低下、饮食模式改变和其他长期有害影响。慢性疼痛患者具有波动但持续的自发性疼痛感受，因此与健康受试者相比，他们的大脑从未真正休息过。该项目将分离出慢性疼痛患者的大脑网络的组成部分，以确定这种不安状况对大脑长期健康造成的负担的影响。这种对“疼痛在大脑中的位置”的精确了解，将极大地改变我们对慢性疼痛的大脑区域的理解，影响使用fMRI研究疼痛的实验方法以及这种无效疾病的诊断和治疗结果。