慢性痛尤其是神经病理痛严重影响身心健康，经济负担重。影像学研究发现，脑内参与痛觉信息处理的大脑主要脑区（核团），包括初级体感皮层、次级体感皮层、岛叶、前扣带回、丘脑和前额叶皮层，组成痛矩阵。.本项目采用大鼠脑区多通道微电极记录局部场电位，结合基于神经振荡的功能网络分析技术、脑内局部微电极干预技术和传统的核团损毁技术，确定SNI神经病理痛大鼠在发生发展过程中痛矩阵脑功能网络的动态变化，从而不再孤立地、而是从动态功能连接的角度，深入理解慢性神经病理痛发生、发展和维持不同阶段，起关键作用的痛矩阵中的脑区及其活动模式。.另外，进行痛矩阵局部场电位功能网络与行为学上自发痛和诱发痛相关分析，获得痛相关网络特征，这些网络特征进一步在SNI大鼠皮层脑电、临床带状疱疹后遗神经痛患者头皮脑电功能网络上验证与分析，以期为临床慢性痛的脑电图学诊断提供一种新思路，探索解决疼痛客观诊断这一国际难点的可能。

Chronic pain especially neuropathic pain severely affects physical and mental health and causes tremendous financial burden. Neuroimaging studies indicate the pain matrix involved in processing pain signals which includes the primary and secondary somatosensory cortices, the insular cortex, the anterior cingulate cortex, the prefrontal cortex and the thalamus. .The present project, using multi-unit and local field potential recording techniques, functional brain network analysis based on neural oscillation synchronization, electric stimulation in brain nucleus and conventional brain nucleus lesion techniques, aims to construct the functional network of the pain matrix during the chronic pain development and maintenance in SNI rats. Construction of this model will help understand the network dynamics of these regions' functional connectivity during the emergence, development and maintenance of chronic neuropathic pain. .In addition, this analysis may detect characteristics of the network related with spontaneous and evoked pain, which is further analyzed and confirmed in the EEG of neuropathic rats and patients and provide a potential objective means of diagnosis for clinical chronic pain.