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Neuropolitics: EEG spectral maps related to a political vote based on the first impression of the candidate's face

机译:神经政治学:基于候选人脸部第一印象的与政治投票相关的EEG频谱图

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The aim of the present research is to investigate the EEG activity elicited by a fast observation of face of real politicians during a simulated political election. Politician's face are taken from real local election performed in Italy in the 2004 and 2008. We recorded the EEG activity of eight healthy subjects while they are asked to give a judgment on dominance, trustworthiness traits and a preference of vote on faces shown. Statistical differences of spectral EEG scalp activity have been mapped onto a realistic head model. For each experimental condition, we employed the t-test to compare the PSD values and adopted the False Discovery Rate correction for multiple comparisons. The scalp statistical maps revealed a desynchronization in the alpha band related to the politicians who lost the simulated elections and have been judged less trustworthy. Although these results might be congruent with the recent literature, the present is the first EEG study about and there is the need to extend the paradigm and the analysis on a larger number of subjects to validate these results.
机译:本研究的目的是调查通过在模拟的政治选举中快速观察真实政客的面孔而引发的脑电图活动。政客的面孔取材自2004年和2008年在意大利进行的实际地方选举。我们记录了8名健康受试者的EEG活动,同时要求他们对优势,可信赖性和所显示面孔的投票偏好做出判断。脑电波频谱头皮活动的统计差异已映射到一个现实的头部模型。对于每个实验条件,我们采用t检验比较PSD值,并采用误发现率校正进行多次比较。头皮统计图显示,与失去模拟选举并被认为不那么可信赖的政客有关的阿尔法谱带出现了不同步。尽管这些结果可能与最近的文献一致,但目前是关于EEG的第一项研究,并且有必要扩展范式和对大量受试者进行分析以验证这些结果。

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