Ding Lihong, Duan Wei, Wang Yulin, Lei Xu
Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing 400715, China; Key Laboratory of Cognition and Personality of Ministry of Education, Chongqing 400715, China.
Sleep and NeuroImaging Center, Faculty of Psychology, Southwest University, Chongqing 400715, China; Key Laboratory of Cognition and Personality of Ministry of Education, Chongqing 400715, China.
Int J Psychophysiol. 2022 Mar;173:20-28. doi: 10.1016/j.ijpsycho.2022.01.003. Epub 2022 Jan 10.
Previous test-retest analysis of EEG mostly focused on eyes open and eyes closed resting-state. However, less attention was paid to the EEG during the subject-driven mental imaginary task state. In the current study, we compared the test-retest reproducibility of EEG spectrum in three mental imaginary task states (i.e. performed mental arithmetic, recalled the events of their day, and silently sang lyrics) and two resting states (i.e. eyes open and closed) during three EEG sessions. The resting state with eyes closed has the highest reproducibility, while the resting state with eyes opened has the lowest reproducibility for the spectral features of EEG signals at the sensor level. However, the reproducibility during eyes-open ranked higher among the five states at the source level. Moreover, the mental arithmetic state has the highest reproducibility among all the three task states. And its reproducibility in certain rhythms (theta, gamma, etc) was higher than the resting states. The reproducibility of the EEG spectrum was also investigated from the perspective of large-scale brain networks. The dorsal attention network showed the highest reproducibility in a wide frequency range of the alpha and beta rhythms. Our study suggests the importance of task selection based on the target brain region and the target frequency band. This may provide some suggestions for future researchers to choose appropriate experimental paradigms and provide a guideline on EEG study for the basic and clinical applications.
先前脑电图的重测分析大多集中在睁眼和闭眼静息状态。然而，在受试者驱动的心理想象任务状态下，脑电图受到的关注较少。在本研究中，我们比较了三个脑电图时段中三种心理想象任务状态（即进行心算、回忆当天发生的事情以及默念歌词）和两种静息状态（即睁眼和闭眼）下脑电图频谱的重测可重复性。在传感器层面，闭眼静息状态下脑电图信号频谱特征的可重复性最高，而睁眼静息状态下的可重复性最低。然而，在源层面，睁眼状态下的可重复性在五种状态中排名较高。此外，心算状态在所有三种任务状态中可重复性最高。并且其在某些节律（θ波、γ波等）下的可重复性高于静息状态。还从大规模脑网络的角度研究了脑电图频谱的可重复性。背侧注意网络在α波和β波节律的较宽频率范围内显示出最高的可重复性。我们的研究表明基于目标脑区和目标频段进行任务选择的重要性。这可能为未来研究人员选择合适的实验范式提供一些建议，并为脑电图在基础和临床应用方面的研究提供指导方针。
