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Regression Analysis of Coherence between Concurrent EEG-EEG and EEG - CPPG Signals from Prefrontal Cortex During Music Evoked Emotions

机译:音乐诱发情绪时额叶皮质并发脑电与脑电-CPPG信号相干性的回归分析。

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This paper summarizes the results of experiment that focus on effect of music evoked emotions on mean squared coherence and phase coherence between two signals with same nature (electrical brain signal EEG) and the two signals with different nature (EEG and hemodynamic brain signal CPPG). Regression analysis was carried out to find out the mathematical relation between mean squared coherence and phase coherence estimated between the two signals captured from prefrontal cortex and the physiological parameters. Number of synaptic connections between the two measurement sites/signals and its strength is reflected in the coherence. It is a quantitative measure of association between the two simultaneously acquired signals as a function of frequency. Physiological parameters studied by the authors are SBP, DBP, HR, Blood Glucose and BMI. These are some of the potential biological markers closely related to emotional response. Data was collected from twenty multi-lingual subjects of both the genders with Mean(age) = 39.25 years and SDage = 11.625 years. No strong correlation was found between the coherence (calculated between EEG-EEG and EEG-CPPG) and the physiological parameters studied during the various emotional states. It was observed that MS Coherence between the signals with similar nature is higher than it in between the signals with dissimilar nature. T-paired test was carried out to show that the means of these two coherences is different. Coherence between EEG-EEG was compared with coherence between EEG-CPPG and it was observed that they are very different (p < 0.001), were as when coherence between EEG-EEG (or EEG-CPPG) is compared with coherence between EEG-EEG (or EEG-CPPG) p-value was > 0.05. This technique can be applied to wider population in the field of clinical neuroscience with or without any known neurological disorder. More connectivity measures can also be included to study music evoked emotions or stroop task.
机译:本文总结了实验结果,重点关注音乐诱发的情绪对具有相同性质的两个信号(脑电信号EEG)和具有不同性质的两个信号(EEG和血流动力学脑电信号CPPG)的均方相干和相位相干性的影响。进行回归分析,以找出从前额叶皮层捕获的两个信号与生理参数之间的均方相干与相位相干之间的数学关系。两个测量位点/信号之间的突触连接数及其强度反映在连贯性上。它是同时捕获的两个信号之间随频率变化的关联的定量度量。作者研究的生理参数是SBP,DBP,HR,血糖和BMI。这些是与情绪反应密切相关的一些潜在生物学标记。数据来自二十个多语言受试者,均值年龄为39.25岁,标准年龄为11.625岁。在各种情绪状态下研究的生理参数(在EEG-EEG和EEG-CPPG之间计算)之间没有发现强相关性。观察到,具有相似性质的信号之间的MS相干性高于具有相似性质的信号之间的MS相干性。 T配对检验表明这两个相干的手段不同。将EEG-EEG之间的一致性与EEG-CPPG之间的一致性进行了比较,观察到它们非常不同(p <0.001),就像将EEG-EEG(或EEG-CPPG)之间的一致性与EEG-EEG之间的一致性进行比较时一样(或EEG-CPPG)p值> 0.05。不论有没有已知的神经系统疾病,这项技术都可以应用于临床神经科学领域的广泛人群。还可以包括更多的连通性措施,以研究音乐诱发的情绪或Stroop任务。

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