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EEG Mean Power and Complexity Analysis during Complex Mental Task

机译：复杂心理任务期间的脑电图均值和复杂性分析

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The aim of this study was to investigate the association between EEG measures (mean power and sample entropy) and complex mental reasoning task (IQ test). Six healthy university students participated voluntarily in the experiment. EEG was recorded at resting states (eye open and eye closed) and during performing IQ test and analyzed over 12 regions across the scalp. EEG mean power measure of delta and theta frequency significantly (p<0.025) discriminated the IQ test from resting states at frontal regions and alpha frequency at parietal, occipital and parieto-occipital regions. Highly reduced mean power of beta frequency was found during IQ test at parietal, occipital and parieto-occipital regions as compared to frontal regions. Results of Sample Entropy (SE) showed high complexity in EEG signal during IQ test than resting state eye closed. Our findings showed high cortical activation and increased EEG complexity during IQ test than resting states.
机译：本研究的目的是调查EEG措施（平均功率和样本熵）与复杂心理推理任务（IQ测试）之间的关联。六名健康大学学生在实验中自愿参加。 EEG被记录在休息状态（眼睛开放和眼睛关闭），在执行智商测试期间并在头皮上分析超过12个区域。截至δ和θ频率的脑电图均值显着（P <0.025）在颅骨，枕骨和平原区域的阶级地区和α频率下对休息状态的IQ测试进行了区分。与额面区域相比，在Pareetal，枕骨和枕面区域的IQ测试期间发现了高度降低的β频率的平均力。样品熵（SE）的结果在IEG信号期间显示出比休息状态眼在闭合状态下的脑电图信号高复杂性。我们的研究结果显示出高的皮质激活，并且在智商测试期间增加了EEG复杂性，而不是休息状态。

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