大脑标记的nociplastic疼痛:纤维肌痛指数和下降调制在人口水平
Eoin Maurice Kelleher1,2, Frederik Lange1, Vishvarani Wanigasekera1
1Oxford University Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, OX3 9DU, UK.
Brain : a journal of neurology
|August 17, 2025
概括
纤维肌痛指数 (FMI) 与慢性疼痛患者的下降疼痛调节系统 (DPMS) 中大脑连接的改变有关. 这些发现支持FMI作为一种有效的神经生物学标志物,用于表皮性疼痛.
科学领域:
- 神经科学是一个神经科学.
- 疼痛研究 疼痛研究
- 医疗成像医学成像
背景情况:
- 无囊性疼痛涉及改变疼痛处理,没有明显的组织损伤.
- 纤维肌痛指数 (FMI) 是一种常见的指标,用于测量脑内肌痛痛的严重程度.
- FMI评分的神经生物学基础,特别是大脑连接性,尚不清楚.
研究的目的:
- 调查纤维肌痛指数 (FMI) 评分与在下降疼痛调节系统 (DPMS) 中的大脑连接之间的关联.
- 为了确定FMI作为nociplastic疼痛标志物的神经生物学有效性.
- 探讨与FMI相关的连接性变化是否是特异性的.
主要方法:
- 利用来自英国4万多名生物库参与者的多式神经成像数据 (静止状态fMRI和dMRI).
- 评估七个关键DPMS地区的功能和结构连接.
- 采用结构方程模型和调解分析来检查关联和特定的疼痛成分.
主要成果:
- 在患有慢性疼痛的个体中,FMI得分与周水道灰细胞 (PAG) 和杏仁体之间的结构连接变化以及PAG和下丘脑之间的结构连接有显著关联.
- 功能连接显示了类似但较小的影响.
- 这些关联是特定于FMI,并没有观察到神经病痛或平均疼痛强度.
结论:
- 纤维肌痛指数 (FMI) 评分反映了大脑连接的生物学意义上的改变,特别是在DPMS电路内.
- 结构性连接变化,可能是由于慢性疼痛的累积效应,与FMI比功能连接更强烈地相关.
- 这些发现为FMI提供了神经生物学的基础,支持其作为诺西普拉斯疼痛严重程度的生物标志物的使用.
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