项目名称: 基于功能响应和人格特质的疼痛知觉预测研究
项目编号: No.31471082
项目类型: 面上项目
立项/批准年度: 2015
项目学科: 神经、认识与心理学
项目作者: 胡理
作者单位: 西南大学
项目金额: 85万元
中文摘要: 疼痛不仅给人们带来身体上的不适,而且对人们的精神、心理、体质等诸多方面产生不同程度的负面影响,直接降低了人们的生活质量。疼痛是临床中最常见的症状之一,也是影响人类健康的世界性难题之一。然而,现阶段对疼痛的诊断和治疗在很大程度上依靠患者主观的、并不精确的痛觉评价,其主观性给疼痛的客观评估和科学诊断带来了很大的困难。因此,疼痛知觉的预测研究意义重大,该课题已经逐渐成为国内外疼痛研究的热点之一。 本项目旨在利用(1)短时疼痛和长时疼痛的脑响应特征,(2)人脑静息状态特征,(3)疼痛相关的其它生理特征(如体温、血压、肌电信号等)和(4)疼痛敏感性相关的人格特质等,结合使用脑电和功能磁共振成像技术,开发有效的预测模型和方法,实现疼痛知觉的准确、客观测量。该项目开发的人体疼痛客观测量方法不仅能用于镇痛的相关研究,而且能用于临床诊断的痛觉评估和疗效评价,最终帮助缓解或去除患者的痛苦。
中文关键词: 疼痛预测;脑电;功能磁共振成像;多变量模式识别;人格特质
英文摘要: Pain is an unpleasant sensory and emotional experience associated with actual or potential tissue damage. It does not only lead to somatic discomfort, but also adversely affect the health of humans in mental, psychological, physical, and many other aspects, thus directly reducing the quality of human life. Pain is one of the most common clinical symptoms, and has been recognized as a worldwide healthcare problem. However, at the current stage, the diagnosis and treatment of pain heavily rely on the subjective and inaccurate report of pain from patients. Since an objective and reliable measurement of pain is highly needed in various basic and clinical applications, several neuroimaging techniques have been adopted to reveal neurologic signature of pain perception and to predict pain based on nociceptive-evoked brain responses. This is becoming one of the worldwide hot topics of pain research. Jointly applying Electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) techniques, we aim to provide an objective and reliable assessment of pain perception by developing effective pain prediction models and advanced pattern recognition algorithms. The pain prediction models and pattern recognition algorithms were achieved by utilizing (1) neural responses to transient and tonic nociceptive stimuli, (2) features of resting-state cortical activities, (3) other pain related physiological features, e.g., body temperature, blood pressure, and electromyographical signal, and (4) personality characteristics associated with subjects' pain sensitivity. The proposed approach to objectively and reliably assess pain perception can not only be applied in analgesic related studies, but also in clinical diagnosis to assess the intensity of pain perception and to evaluate the efficacy of pain management, thus helping relieving patients from pain.
英文关键词: Pain Prediction;Electroencephalography (EEG);Functional Magnetic Resonance Imaging (fMRI);Multi-Variable Pattern Analaysis (MVPA);Personality Traits