Brain Research Laboratories, Department of Psychiatry, NYU School of Medicine, New York City, NY 10016, USA.
Pain Med. 2011 Aug;12(8):1241-8. doi: 10.1111/j.1526-4637.2011.01191.x. Epub 2011 Aug 2.
An extensive neuroimaging literature on chronic pain demonstrates increased cerebral blood flow and metabolism consistent with increased neuronal activity in the structures comprising the "pain matrix"; furthermore, some of these regions have been shown to encode pain intensity. It is the objective of this study to demonstrate the feasibility of using quantitative electroencephalography (EEG) source localization to reflect and to quantify activity in the pain matrix.
Eyes closed resting EEG was recorded from 19 standardized scalp locations, in a pilot sample of five patients with chronic neuropathic pain, before and after pain reduction. Quantitative electro encephalography (QEEG) source localization was computed estimating the mathematically most probable source generators of EEG surface potentials in each state. Sources identified in this way have been demonstrated to coregister with those identified by neuroimaging methods.
QEEG sources demonstrated frequency specific increased neuronal activity in the baseline high pain state in structures including the thalamus, somatosensory cortex, anterior and posterior insula, medial and lateral prefrontal cortex and cingulate. Significant reduction of activation in these regions was seen when pain was reduced (≥50% on subjective ratings).
The areas that were activated in the high pain state localized to the same regions reported by other neuroimaging methods and with frequency specificity. The frequency and regionally specific activation may indicate distinctive patterns of pathophysiology underlying the pain matrix. Although in a small number of patients, this work suggests that QEEG may be a useful tool in the exploration and quantification of the pain matrix in a clinical setting.
大量关于慢性疼痛的神经影像学研究表明,构成“疼痛矩阵”的结构中的大脑血流和代谢增加,与神经元活动增加一致;此外,这些区域中的一些已被证明可以编码疼痛强度。本研究的目的是证明使用定量脑电图 (EEG) 源定位来反映和量化疼痛矩阵中的活动的可行性。
在慢性神经性疼痛的五名患者的样本中,在疼痛减轻之前和之后,从 19 个标准化头皮位置记录闭眼静息 EEG。使用定量脑电图 (QEEG) 源定位来计算每个状态下 EEG 表面电位的数学上最可能源发生器的估计。已经证明以这种方式识别的源与神经影像学方法识别的源相重合。
QEEG 源在包括丘脑、体感皮层、前岛叶和后岛叶、内侧和外侧前额叶皮质和扣带回在内的结构中显示出基线高疼痛状态下具有频率特异性的神经元活动增加。当疼痛减轻(主观评分≥50%)时,这些区域的激活显著减少。
在高疼痛状态下激活的区域与其他神经影像学方法报告的相同区域以及具有频率特异性的区域相对应。这种频率和区域特异性的激活可能表明疼痛矩阵下潜在病理生理学的独特模式。尽管在少数患者中,但这项工作表明 QEEG 可能是在临床环境中探索和量化疼痛矩阵的有用工具。