一个可复制和可通用的基于神经成像的个体疼痛敏感性指标
Li-Bo Zhang1,2,3, Xue-Jing Lu1,2, Hui-Juan Zhang1,2
1State Key Laboratory of Cognitive Science and Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China.
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
|September 5, 2025
概括
使用功能磁共振成像 (fMRI) 的脑成像揭示了与不同类型的疼痛敏感性相关的一致神经模式. 这一发现有助于理解疼痛感知和开发个性化疼痛疗法.
科学领域:
- 神经科学
- 疼痛研究
- 医学成像
背景情况:
- 了解个体疼痛敏感性的差异是个性化医学的关键.
- 功能性磁共振成像 (fMRI) 是研究大脑活动的强大工具.
- 识别可靠的疼痛敏感性神经标记可以推进疼痛管理策略.
研究的目的:
- 揭示不同个体疼痛敏感性的神经机制.
- 要确定与疼痛相关的大脑活动模式是特定的还是可以在不同的疼痛模式中概括的.
- 使用神经成像数据开发疼痛敏感性和治疗结果的预测模型.
主要方法:
- 对六个大型功能磁共振成像 (fMRI) 数据集的分析 (N=1046).
- 引起的fMRI反应与自我报告的疼痛敏感性之间的相关性分析.
- 机器学习模型的开发和验证,以预测疼痛敏感性和止痛效应.
主要成果:
- 在激光热,接触热和机械疼痛之间发现可复制的fMRI反应和疼痛敏感性.
- 与触觉,听觉或视觉敏感性相比,fMRI反应与疼痛敏感性有较强的相关性.
- 机器学习模型准确预测疼痛敏感性 (r = 0.200.56) 和止痛效应 (r = 0.170.25).
- 适当的样本大小 (> 200 个单变量, > 150 个多变量分析) 对于可靠的发现至关重要.
结论:
- 功能磁共振成像 (fMRI) 激活可靠地编码不同类型的疼痛敏感性.
- 这些发现支持使用神经成像来解释主观疼痛经历.
- 这项研究促进了对疼痛生理学和个性化疼痛治疗的机制性研究.
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