Health Sciences, University of South Australia, Adelaide, SA, Australia.
Rehabilitation Medicine.
Pain Med. 2017 Oct 1;18(10):1921-1931. doi: 10.1093/pm/pnw294.
Spectral power analyses of EEG recordings are reported to distinguish the cortical activity of individuals with chronic pain from those of controls. Further study of these spectral patterns may provide a greater understanding of the processes associated with chronic pain, in addition to providing potential biometric markers of chronic pain for use in both clinical and research settings. However, sleep deprived groups have demonstrated similar characteristics in their spectral power characteristics, particularly in alpha bandwidth power activity.
103 individuals with chronic pain provided resting awake EEG data in addition to ratings of pain and sleep quality. Two Principal Axis Factor analyses using Promax rotation produced one pain and one sleep factor from relevant questionnaire data provided by participants. These factors were then used to test hypothesized relationships with alpha and theta bandwidth power at the frontal and parietal areas of the cortex.
Our findings suggest that reductions in alpha bandwidth power are independently associated with both chronic pain intensity ratings and measures of sleep deficits. Conversely, theta bandwidth power was not found to be associated with either chronic pain or sleep quality measures.
This study's findings support that chronic pain intensity and sleep deficits are related to the Alpha spectral bandwidth activity in individuals with chronic pain.
有研究报告称，脑电图（EEG）记录的光谱功率分析可区分慢性疼痛患者和对照组的皮质活动。进一步研究这些频谱模式除了为临床和研究环境中提供慢性疼痛的潜在生物标志物外，还可能提供对与慢性疼痛相关过程的更深入了解。然而，睡眠剥夺组在其频谱功率特征方面表现出相似的特征，特别是在α频带功率活动中。
103 名慢性疼痛患者除了提供疼痛和睡眠质量评分外，还提供了清醒静息状态下的 EEG 数据。使用 Promax 旋转对相关问卷数据进行两次主成分因子分析，产生了一个疼痛因子和一个睡眠因子。然后，这些因子用于测试与皮质额区和顶区的α和θ频带功率之间的假设关系。
我们的研究结果表明，α频带功率的降低与慢性疼痛强度评分和睡眠不足的测量值独立相关。相反，θ频带功率与慢性疼痛或睡眠质量测量值均无关联。
这项研究的结果支持，在慢性疼痛患者中，慢性疼痛强度和睡眠不足与α光谱带宽活动有关。
