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Independent component analysis for creative versus non-creative task performance

机译：独立组件分析，用于创造性和非创造性的任务绩效

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EEG study on creative thinking was carried out on 108 healthy subjects in terms of test-control approach. As the model of creative thinking we used the task demands an overcoming of a long-term memory stereotype, as the control task was used - long-term memory retrieval condition. Results of different methods of source localization (independent component analysis, equivalent dipole source, the LORETA method) and independent component spectra power analysis are presented in the paper. We revealed significant differences in spectral power in high frequency bands (beta and gamma) of independent components (ICs) attributed to the left parietal, right occipital, left and right temporal cortex zones. Values of spectral power in beta and gamma bands were significantly higher for creative task performance. Obtained results support our previous data [1, 2, 3] and bring us to a new, enlarged data in regard to localization of independent components sources.
机译：根据测试控制方法，对108名健康受试者进行了有关脑电图的创造性思维研究。作为创造性思维的模型，我们使用任务要求克服长期记忆的刻板印象，因为使用控制任务-长期记忆检索条件。本文介绍了不同的源定位方法（独立分量分析，等效偶极子源，LORETA方法）和独立分量谱功率分析的结果。我们揭示了归因于左顶叶，右枕骨，左和右颞皮层区的独立成分（IC）的高频带（β和γ）中频谱功率的显着差异。 Beta和gamma波段的频谱功率值对于创造任务的性能而言明显更高。获得的结果支持我们以前的数据[1、2、3]，并使我们获得有关独立组件源本地化的新的，经过扩大的数据。

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