对于个人间疼痛敏感性的皮质脊髓签名
Xiao-Min Lin1,2, Ling-Fei Guo3, Bing Ni4
1State Key Laboratory of Cognitive Science and Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
Nature communications
|December 11, 2025
概括
一个新的皮质脊柱疼痛敏感性特征预测了个人的疼痛水平. 这种脑脊髓连接为健康和临床人群理解和治疗疼痛提供了一个新的生物标志物.
科学领域:
- 神经科学是一个神经科学.
- 疼痛研究 疼痛研究
- 神经成像是一种神经成像.
背景情况:
- 传统的疼痛模型专注于大脑,忽视了脊髓在疼痛处理中的作用.
- 个体疼痛敏感度有很大差异,需要更好的预测生物标志物.
研究的目的:
- 为了识别和验证皮质脊柱疼痛敏感性签名.
- 为了研究皮质脊髓连接和疼痛感知之间的因果关系.
- 开发一种生物标志物来弥合实验室疼痛测量和临床症状.
主要方法:
- 同时皮质脊髓磁共振成像 (cs-fMRI) 捕捉功能连接.
- 机器学习模型训练了健康个体的静止状态数据.
- 在独立的健康和患者队伍中进行验证.
- 超磁刺激 (TMS) 用于因果推断.
主要成果:
- 一个皮质脊髓疼痛敏感性签名准确地预测个人疼痛敏感性和临床疼痛.
- 该模型在各种数据集中进行了概括,并且表现优于纯粹以大脑为中心的模型.
- 增强的运动皮质-脊柱连接因果关系与改变的疼痛感知 (r=0.55).
结论:
- 已经确定了一种用于疼痛敏感性的新型皮质脊髓生物标志物.
- 这种签名提供了关于疼痛机制的见解,以及从健康人群到临床人群的翻译.
- 这些发现有助于开发针对性神经调节策略来治疗疼痛.
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