Sensorimotor Peak Alpha Frequency Is a Reliable Biomarker of Prolonged Pain Sensitivity

Sensorimotor Peak Alpha Frequency Is a Reliable Biomarker of Prolonged Pain Sensitivity
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DOI:
10.1093/cercor/bhaa124
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发表时间:
2020-12-01
期刊:
影响因子:
3.7
通讯作者:
Seminowicz, David A.
Seminowicz, David A.
中科院分区:
医学2区
文献类型:
--
作者:
Furman, Andrew J.;Prokhorenko, Mariya;Seminowicz, David A.

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先前的研究已经观察到,慢性疼痛患者在静息脑电过程中记录到的阿尔法频段振荡(8-12赫兹范围)的速度会减慢。虽然这种减慢可能反映了疼痛慢化过程中发生的病理变化,但另一种解释是,阿尔法振荡较慢的健康个体对长期疼痛更敏感,进而更容易发展为慢性疼痛。为了验证这一假设,我们在平均间隔8周的两次访问(n=61次访问1,n=46次访问2)中,研究了健康人的无痛静息α振荡速度与他们对两种延长疼痛模型--相热性疼痛和辣椒素热痛性的敏感性之间的关系。我们观察到,个体无痛α振荡的速度与对两种模型的敏感度呈负相关,并且这种关系在短(分钟)和长(周)时间尺度上是可靠的。此外,无痛阿尔法振荡的速度可以成功识别最敏感的疼痛个体,这一点我们在另一项独立研究的数据上进行了验证。这些结果表明,α振荡速度是延长疼痛敏感性的可靠生物标志物,有可能在临床上前瞻性地识别疼痛敏感性。
Previous research has observed that the speed of alpha band oscillations (8-12 Hz range) recorded during resting electroencephalography is slowed in chronic pain patients. While this slowing may reflect pathological changes that occur during the chronification of pain, an alternative explanation is that healthy individuals with slower alpha oscillations are more sensitive to prolonged pain, and by extension, more susceptible to developing chronic pain. To test this hypothesis, we examined the relationship between the pain-free, resting alpha oscillation speed of healthy individuals and their sensitivity to two models of prolonged pain, Phasic Heat Pain and Capsaicin Heat Pain, at two visits separated by 8 weeks on average (n = 61 Visit 1, n = 46 Visit 2). We observed that the speed of an individual's pain-free alpha oscillations was negatively correlated with sensitivity to both models and that this relationship was reliable across short (minutes) and long (weeks) timescales. Furthermore, the speed of pain-free alpha oscillations can successfully identify the most pain sensitive individuals, which we validated on data from a separate, independent study. These results suggest that alpha oscillation speed is a reliable biomarker of prolonged pain sensitivity with potential for prospectively identifying pain sensitivity in the clinic.