镇痛脑电alpha功率谱参数化分析

      Power Spectra Parameterization of the EEG Alpha for Analgesia

      • 摘要: 神经振荡的变化在疼痛和镇痛研究中至关重要。以往的疼痛相关神经振荡研究主要采用脑电功率谱的方法,发现alpha(α)功率与主观疼痛感受密切相关。然而,α功率谱可能受到功率谱基线的影响。该文采用功率谱分析,并进一步使用功率谱参数化方法(即将功率谱分解为周期成分和非周期成分),对50名在第一产程中经历重度疼痛的初产妇进行硬膜外镇痛前后的脑电α功率分析。结果显示,α功率在镇痛前后并无显著统计差异。然而,经过功率谱参数化处理后,镇痛后脑电的非周期成分显著下降,而α的周期成分显著升高。该文验证了功率谱参数化方法在镇痛研究中的有效性,并揭示了镇痛对脑电α周期成分与非周期成分的差异化调控机制。

         

        Abstract: Neural oscillatory changes play a critical role in pain and analgesia research. Previous studies on pain-related neural oscillations have primarily utilized electroencephalogram (EEG) power spectral analysis, revealing a strong correlation between alpha (α) power and subjective pain perception. However, α power spectra are potentially influenced by baseline variations in the power spectrum. This study employs power spectral analysis and further applies a power spectral parameterization method, which decomposes the power spectrum into periodic and aperiodic components, to investigate EEG α power in 50 primiparous women undergoing severe pain during the first stage of labor before and after epidural analgesia. The results indicate no significant differences in α power between pre- and post-analgesia conditions. However, following power spectral parameterization, the non-periodic component of the EEG significantly decreased after analgesia, whereas the periodic component of α power showed a significant increase. This study not only validates the effectiveness and validity of the power spectral parameterization method in analgesia research but also uncovers the differential regulatory mechanism by which analgesia modulates the periodic and aperiodic components of α oscillations.

         

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