脑电图（EEG）能否识别纤维肌痛的不同疼痛维度？一项初步研究。
Can electroencephalography (EEG) identify the different dimensions of pain in fibromyalgia? A pilot study.
机构信息
Applied Neuroscience Laboratory, Department of Physical Therapy, Universidade Federal de Pernambuco, Recife, PE, 50670-901, Brazil.
Center of Mathematics, Computation and Cognition, Universidade Federal do ABC, São Paulo, São Paulo, Brazil.
出版信息
BMC Musculoskelet Disord. 2024 Sep 3;25(1):705. doi: 10.1186/s12891-024-07824-0.
BACKGROUND
Electroencephalography (EEG) is a promising tool for identifying the physiological biomarkers of fibromyalgia (FM). Evidence suggests differences in power band and density between individuals with FM and healthy controls. EEG changes appear to be associated with pain intensity; however, their relationship with the quality of pain has not been examined. We aimed to investigate whether abnormal EEG in the frontal and central points of the 10-20 EEG system in individuals with FM is associated with pain's sensory-discriminative and affective-motivational dimensions. The association between EEG and the two dimensions of emotional disorders (depression and anxiety) was also investigated.
METHODS
In this cross-sectional pilot study, pain experience (pain rating index [PRI]) and two dimensions of emotional disorders (depression and anxiety) were assessed using the McGill Pain Questionnaire (PRI-sensory and PRI-affective) and Hospital Anxiety and Depression Scale (HADS), respectively. In quantitative EEG analysis, the relative spectral power of each frequency band (delta, theta, alpha, and beta) was identified in the frontal and central points during rest.
RESULTS
A negative correlation was found between the relative spectral power for the delta bands in the frontal (r= -0.656; p = 0.028) and central points (r= -0.624; p = 0.040) and the PRI-affective scores. A positive correlation was found between the alpha bands in the frontal (r = 0.642; p = 0.033) and central points (r = 0.642; p = 0.033) and the PRI-affective scores. A negative correlation between the delta bands in the central points and the anxiety subscale of the HADS (r = -0.648; p = 0.031) was detected.
CONCLUSION
The affective-motivational dimension of pain and mood disorders may be related to abnormal patterns of electrical activity in patients with FM.
TRIAL REGISTRATION
Retrospectively registered on ClinicalTrials.gov (NCT05962658).
背景
脑电图（EEG）是识别纤维肌痛（FM）生理生物标志物的有前途的工具。有证据表明，FM 患者和健康对照组之间的功率带和密度存在差异。EEG 变化似乎与疼痛强度有关；然而，它们与疼痛质量的关系尚未被研究。我们旨在研究 FM 患者的 10-20 EEG 系统的额中和中央点的异常 EEG 是否与疼痛的感觉辨别和情感动机维度有关。还研究了 EEG 与两种情绪障碍（抑郁和焦虑）维度之间的关系。
方法
在这项横断面初步研究中，使用 McGill 疼痛问卷（PRI-感觉和 PRI-情感）和医院焦虑和抑郁量表（HADS）评估疼痛体验（疼痛评分指数[PRI]）和两种情绪障碍维度（抑郁和焦虑）。在定量脑电图分析中，在休息时识别额中和中央点的每个频带（delta、theta、alpha 和 beta）的相对频谱功率。
结果
发现额（r= -0.656；p= 0.028）和中央点（r= -0.624；p= 0.040）delta 波段的相对频谱功率与 PRI-情感评分呈负相关。在额（r= 0.642；p= 0.033）和中央点（r= 0.642；p= 0.033）alpha 波段发现与 PRI-情感评分呈正相关。还检测到中央点 delta 波段与 HADS 焦虑分量之间的负相关（r = -0.648；p= 0.031）。
结论
疼痛的情感动机维度和情绪障碍可能与 FM 患者的电活动异常模式有关。
试验注册
在 ClinicalTrials.gov 上（NCT05962658）进行了回顾性注册。
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