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动态定量感觉测试以表征中枢性疼痛处理过程。

Dynamic Quantitative Sensory Testing to Characterize Central Pain Processing.

作者信息

Mackey Ian G, Dixon Eric A, Johnson Kevin, Kong Jiang-Ti

机构信息

Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine.

Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine;

出版信息

J Vis Exp. 2017 Feb 16(120):54452. doi: 10.3791/54452.

Abstract

Central facilitation and modulation of incoming nociceptive signals play an important role in the perception of pain. Disruption in central pain processing is present in many chronic pain conditions and can influence responses to specific therapies. Thus, the ability to precisely describe the state of central pain processing has profound clinical significance in both prognosis and prediction. Because it is not practical to record neuronal firings directly in the human spinal cord, surrogate behavior tests become an important tool to assess the state of central pain processing. Dynamic QST is one such test, and can probe both the ascending facilitation and descending modulation of incoming nociceptive signals via TS and CPM, respectively. Due to the large between-individual variability in the sensitivity to noxious signals, standardized TS and CPM tests may not yield any meaningful data in up to 50% of the population due to floor or ceiling effects. We present methodologies to individualize TS and CPM so we can capture these measures in a broader range of individuals than previously possible. We have used these methods successfully in several studies at the lab, and data from one ongoing study will be presented to demonstrate feasibility and potential applications of the methods.

摘要

中枢对传入伤害性信号的易化和调制在疼痛感知中起着重要作用。中枢疼痛处理的紊乱存在于许多慢性疼痛状况中,并可影响对特定疗法的反应。因此,精确描述中枢疼痛处理状态的能力在预后和预测方面都具有深远的临床意义。由于直接记录人类脊髓中的神经元放电并不实际,替代行为测试成为评估中枢疼痛处理状态的重要工具。动态定量感觉测试(Dynamic QST)就是这样一种测试,它可以分别通过热感觉阈值(TS)和冷痛觉调制(CPM)来探测传入伤害性信号的上行易化和下行调制。由于个体对有害信号的敏感性存在很大差异,标准化的TS和CPM测试可能因地板效应或天花板效应,在高达50%的人群中无法产生任何有意义的数据。我们提出了使TS和CPM个体化的方法,以便我们能够在比以前更广泛的个体中获取这些测量值。我们已经在实验室的几项研究中成功使用了这些方法,并且将展示一项正在进行的研究的数据,以证明这些方法的可行性和潜在应用。

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