Cognitive neuroscience of creativity has been extensively studied using non-invasive electrical recordings from the scalp called electroencephalograms (EEGs) and event related potentials (ERPs). The paper discusses major aspects of performing research using EEG/ERP based experiments including the recording of the signals, removing noise, estimating ERP signals, and signal analysis for better understanding of the neural correlates of processes involved in creativity. Important factors to be kept in mind to record clean EEG signal in creativity research are discussed. The recorded EEG signal can be corrupted by various sources of noise and methodologies to handle the presence of unwanted artifacts and filtering noise are presented followed by methods to estimate ERPs from the EEG signals from multiple trials. The EEG and ERP signals are further analyzed using various techniques including spectral analysis, coherence analysis, and non-linear signal analysis. These analysis techniques provide a way to understand the spatial activations and temporal development of large scale electrical activity in the brain during creative tasks. The use of this methodology will further enhance our understanding the processes neural and cognitive processes involved in creativity.

译文

:创造性的认知神经科学已被广泛使用来自头皮的非侵入性电记录(称为脑电图(EEG)和事件相关电位(ERP))进行研究。本文讨论了使用基于EEG / ERP的实验进行研究的主要方面,包括信号记录,噪声消除,ERP信号估计以及信号分析,以更好地理解与创造力有关的过程的神经相关性。讨论了在创造力研究中记录干净的EEG信号时应牢记的重要因素。记录的EEG信号可能会受到各种噪声源的破坏,并且会出现处理有害伪影的方法,并提出滤波噪声,然后介绍从多次试验的EEG信号中估计ERP的方法。使用各种技术进一步分析EEG和ERP信号,包括频谱分析,相干分析和非线性信号分析。这些分析技术提供了一种在创造性任务期间了解大脑中大规模电活动的空间激活和时间发展的方式。这种方法的使用将进一步增强我们对创造力所涉及的神经和认知过程的理解。

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