Coordinating Center for Fundamental Research, National Medical Research Center for Therapy and Preventive Medicine, Moscow, 101000, Russia.
Institute of Physics, Saratov State University, Saratov, 410012, Russia.
Neurosci Bull. 2023 Jul;39(7):1105-1116. doi: 10.1007/s12264-023-01035-8. Epub 2023 Feb 22.
The article presents an original method for the automatic assessment of the quality of event-related potentials (ERPs), based on the calculation of the coefficient ε, which describes the compliance of recorded ERPs with some statistically significant parameters. This method was used to analyze the neuropsychological EEG monitoring of patients suffering from migraines. The frequency of migraine attacks was correlated with the spatial distribution of the coefficients ε, calculated for EEG channels. More than 15 migraine attacks per month was accompanied by an increase in calculated values in the occipital region. Patients with infrequent migraines exhibited maximum quality in the frontal areas. The automatic analysis of spatial maps of the coefficient ε demonstrated a statistically significant difference between the two analyzed groups with different means of migraine attack numbers per month.
本文提出了一种基于计算描述记录的事件相关电位(ERPs)与某些统计显著参数一致性的系数ε,对 ERP 质量进行自动评估的新方法。该方法用于分析偏头痛患者的神经心理学 EEG 监测。偏头痛发作的频率与为 EEG 通道计算的系数 ε 的空间分布相关。每月发作超过 15 次的偏头痛伴有枕区计算值增加。偏头痛发作频率较低的患者在前额区域表现出最佳质量。系数 ε 的空间图谱自动分析表明,每月偏头痛发作次数的平均值不同的两组之间存在统计学显著差异。