Department of Neurology, University of Erlangen-Nuremberg, Schwabachanlage 6, 91054, Erlangen, Germany.
J Neural Transm (Vienna). 2011 Aug;118(8):1139-54. doi: 10.1007/s00702-011-0606-9. Epub 2011 Mar 4.
The use of functional brain imaging techniques offers the possibility of uncovering the cerebral processing of the human pain experience. In recent years, many imaging studies have focused on defining a network of brain structures involved in the processing of normal pain. Additionally, it has been shown that stimulus-evoked pain, which is a frequent symptom of neuropathic pain, causes distinct patterns of brain activation. In the present study, we quantitatively analyzed the data of previous functional imaging studies. Studies were thus collected by means of a MEDLINE query. A meta-analysis using the activation-likelihood estimation method was conducted to quantify the acquired results. We then used this data to summarize and compare the cerebral activations of (i) normal and stimulus-evoked pain, (ii) thermal and mechanical pain, (iii) different types of stimulus-evoked pain (hyperalgesia, allodynia), and (iv) clinical neuropathic and experimental pain. The results suggest the existence of distinct, although overlapping, neuronal networks related to these different types of pain.
使用功能脑成像技术提供了揭示人类疼痛体验的大脑处理过程的可能性。近年来,许多成像研究都集中在定义一个参与正常疼痛处理的脑结构网络。此外,已经表明,刺激引起的疼痛,这是神经病理性疼痛的常见症状,会引起大脑激活的不同模式。在本研究中,我们对以前的功能成像研究的数据进行了定量分析。通过 MEDLINE 查询收集研究。使用激活似然估计方法进行荟萃分析,以量化获得的结果。然后,我们使用这些数据总结和比较(i)正常和刺激引起的疼痛、(ii)热和机械疼痛、(iii)不同类型的刺激引起的疼痛(痛觉过敏、感觉异常)和(iv)临床神经性和实验性疼痛的大脑激活。结果表明,存在与这些不同类型疼痛相关的不同但重叠的神经元网络。