人体伤害性疼痛的特异性电生理指标检测与提取

项目名称： 人体伤害性疼痛的特异性电生理指标检测与提取

项目编号： No.31200856

项目类型： 青年科学基金项目

立项/批准年度： 2013

项目学科： 神经科学研究的新技术和新方法

项目作者： 胡理

作者单位： 西南大学

项目金额： 26万元

中文摘要： 疼痛是现实或潜在的组织损伤所造成的不愉快的感觉性和情绪性体验。疼痛是临床中最常见的症状之一，也是影响人类健康的一个世界性难题。然而，疼痛是受到感觉、情绪和经历等诸多因素影响的主观体验。其主观性给痛觉的客观评估和科学诊断造成了很大的困难。 脑电是一种反映大脑神经活动的生物电信号，具有非侵入和极高的时间分辨率等优点。因此，脑电被用于大量的基础和临床研究中，用于揭示人脑痛觉处理的神经机制。 本项目将运用先进的脑信号分析和处理技术（包括高精度的时频空分析，脑电信号单次提取，脑连通性分析等），比较①不同部位疼痛刺激的脑响应②不同感觉模态刺激的脑响应，整合并提取痛觉的电生理指标，并采用接受者操作特征曲线验证所提取的指标，衡量其有效性。 该项目将更深入地揭示人脑痛觉处理的神经机制，提出客观精确的痛觉电生理评价指标。其长期价值是为临床诊断中的痛觉评估和疗效评价提供客观的衡量指标，帮助缓解病人疼痛。

中文关键词： 痛觉；脑电；时频分析；单次提取；有效连通性

英文摘要： Pain is an unpleasant sensory and emotional experience that caused by the actual or potential tissue damage, or the description of such damage. It is the most commonly symptom in clinical practice, and a major health care problem worldwide. However, pain is a complex melange of sensation, emotion, experience, and so on. Therefore, there is a lack of an objective, quantifiable, and precise measurement of pain, which is highly needed to assess pain in various basic and clinical conditions. As a non-invasive and practical neuroelectrophysiological technique, multi-channel electroencephalography (EEG) is able to record the electrical activity, which is generated by the firing of neurons in the human brain. Considering the millisecond range temporal resolution, EEG has been widely used in various basic and clinical applications to reveal the neural mechanism of pain perception in the human brain. Using advanced signal processing techniques (including high-resolution time-frequency-space analysis, single-trial detection, and effective connectivity analysis), this project will (1) compare EEG responses elicited by nociceptive stimuli imposed on different sites in the human body, and (2) compare EEG responses elicited by sensory stimuli of different modalities (i.e., pain, audition, vision, and taction) to extract nocic

英文关键词： pain；EEG；time-frequency analysis；single-trial detection；effective connectivity