Analytic consistency and neural correlates of peak alpha frequency in the study of pain.

Analytic consistency and neural correlates of peak alpha frequency in the study of pain.
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DOI:
10.1016/j.jneumeth.2021.109460
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发表时间:
2022-02-15
影响因子:
3
通讯作者:
Kutch, Jason J.
Kutch, Jason J.
中科院分区:
医学4区
文献类型:
--
作者:
McLain, Natalie J.;Yani, Moheb S.;Kutch, Jason J.

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几项研究发现,有证据表明,疼痛人群的静息状态峰值阿尔法频率(PAF)降低。然而,用于研究疼痛的不同分析管道中的PAF的稳定性尚未确定,PAF潜在的神经相关性也尚未在人类中得到验证。我们第一次比较了分析管道以及PAF与整个大脑和丘脑的活动之间的关系,丘脑是PAF的假想生成器。我们收集了47名健康男性的静息功能磁共振成像(rs-fMRI)数据,随后收集了通道静息状态脑电(EEG),并与正在进行的慢性前列腺炎(一种影响男性的疼痛状况)研究的对照组进行了对照。我们通过对17篇研究疼痛和PAF关系的文献的综述,确定了PAF的脑电处理的重要变异。我们测试了三个逐渐复杂的预处理管道,并改变了四个后处理变量(纪元长度、阿尔法波段、计算方法和感兴趣区域[ROI]),这些变量在整个文献中都是不一致的。我们发现了一个单一的主成分,它很好地代表了所有电极的平均PAF(总平均PAF),解释了受试者之间95%的差异。我们还发现,总平均PAF在前处理流水线之间具有高度的相关性,主要受计算方法和ROI的影响。通过不同的方法,PAF的个体差异与rs-fMRI估计的丘脑、脑岛、扣带和感觉皮质的活动相关。这些结果表明,与疼痛研究中常用的前后处理方法相比,PAF是一个相对稳定的标记物,并反映了丘脑和显著网络功能的个体差异。
Several studies have found evidence of reduced resting-state peak alpha frequency (PAF) in populations with pain. However, the stability of PAF from different analytic pipelines used to study pain has not been determined and underlying neural correlates of PAF have not been validated in humans. For the first time we compare analytic pipelines and the relationship of PAF to activity in the whole brain and thalamus, a hypothesized generator of PAF. We collected resting-state functional magnetic resonance imaging (rs-fMRI) data and subsequently 64 channel resting-state electroencephalographic (EEG) from 47 healthy men, controls from an ongoing study of chronic prostatitis (a pain condition affecting men). We identified important variations in EEG processing for PAF from a review of 17 papers investigating the relationship between pain and PAF. We tested three progressively complex pre-processing pipelines and varied four post-processing variables (epoch length, alpha band, calculation method, and region-of-interest [ROI]) that were inconsistent across the literature. We found a single principal component, well-represented by the average PAF across all electrodes (grand-average PAF), explained > 95% of the variance across participants. We also found the grand-average PAF was highly correlated among the pre-processing pipelines and primarily impacted by calculation method and ROI. Across methods, interindividual differences in PAF were correlated with rs-fMRI-estimated activity in the thalamus, insula, cingulate, and sensory cortices. These results suggest PAF is a relatively stable marker with respect to common pre and post-processing methods used in pain research and reflects interindividual differences in thalamic and salience network function.
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