Laboratory of Pain and Neuromodulation at Hospital de Clínicas de Porto Alegre (HCPA), Ramiro Barcelos, 2350, Bairro Rio Branco, Porto Alegre, RS, CEP 90035-003, Brazil.
Post-Graduate Program in Medical Sciences, School of Medicine, Universidade Federal Do Rio Grande Do Sul (UFRGS), Porto Alegre, Brazil.
Sci Rep. 2021 Nov 22;11(1):22716. doi: 10.1038/s41598-021-01982-0.
Spectral power density (SPD) indexed by electroencephalogram (EEG) recordings has recently gained attention in elucidating neural mechanisms of chronic pain syndromes and medication use. We compared SPD variations between 15 fibromyalgia (FM) women in use of opioid in the last three months (73.33% used tramadol) with 32 non-users. EEG data were obtained with Eyes Open (EO) and Eyes Closed (EC) resting state. SPD peak amplitudes between EO-EC were smaller in opioid users in central theta, central beta, and parietal beta, and at parietal delta. However, these variations were positive for opioid users. Multivariate analyses of variance (ANOVAs) revealed that EO-EC variations in parietal delta were negatively correlated with the disability due to pain, and central and parietal beta activity variations were positively correlated with worse sleep quality. These clinical variables explained from 12.5 to 17.2% of SPD variance. In addition, central beta showed 67% sensitivity / 72% specificity and parietal beta showed 73% sensitivity/62% specificity in discriminating opioid users from non-users. These findings suggest oscillations in EEG might be a sensitive surrogate marker to screen FM opioid users and a promising tool to understand the effects of opioid use and how these effects relate to functional and sleep-related symptoms.
脑电频谱功率密度（SPD）分析在阐明慢性疼痛综合征和药物使用的神经机制方面最近受到关注。我们比较了过去三个月内使用阿片类药物的 15 名纤维肌痛（FM）女性（73.33%使用曲马多）与 32 名未使用者的 SPD 变化。EEG 数据在睁眼（EO）和闭眼（EC）静息状态下获得。在中央θ、中央β和顶叶β以及顶叶δ，阿片类药物使用者的 EO-EC 之间的 SPD 峰值幅度较小。然而，这些变化对阿片类药物使用者呈阳性。多元方差分析（ANOVAs）显示，顶叶δ的 EO-EC 变化与疼痛导致的残疾呈负相关，中央和顶叶β活动的变化与睡眠质量恶化呈正相关。这些临床变量解释了 SPD 变化的 12.5%至 17.2%。此外，中央β的敏感性为 67%/特异性为 72%，顶叶β的敏感性为 73%/特异性为 62%，可用于区分阿片类药物使用者和非使用者。这些发现表明，脑电活动中的振荡可能是筛选 FM 阿片类药物使用者的敏感替代标志物，也是一种很有前途的工具，可以了解阿片类药物使用的效果以及这些效果如何与功能和睡眠相关症状相关。
