Wutzl Betty, Leibnitz Kenji, Murata Masayuki
Graduate School of Information Science and Technology, Osaka University, Suita 565-0871, Osaka, Japan.
Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology, Suita 565-0871, Osaka, Japan.
Brain Sci. 2024 Mar 11;14(3):267. doi: 10.3390/brainsci14030267.
We focus on finding a correlation between the asymmetries of electroencephalography (EEG) signals and subjective well-being (SWB) when changed on short time scales via environmental conditions. Most research in this field focuses on frontal alpha asymmetry. We systematically examine different sensor locations and filter the sensor data into the delta band, the theta band, the alpha band, the beta band, and the gamma band, or leave the EEG signal unfiltered. We confirm that frontal alpha asymmetry is correlated to SWB. However, asymmetries between other sensors and/or filtering the data to other bands also shows a linear correlation to SWB values. Asymmetries of anterior brain regions show statistically significant results not only in the alpha band but also in the delta band and theta band, or when the data is not filtered into a specific band. Asymmetries of posterior regions show a trend to be correlated to SWB when EEG activity is higher on the opposite hemisphere and filtered into different frequency bands. Thus, our results let us conclude that focusing just on frontal sensors and the alpha band might not reveal the whole picture of brain regions and frequency bands involved in SWB.
我们专注于研究当通过环境条件在短时间尺度上发生变化时,脑电图(EEG)信号的不对称性与主观幸福感(SWB)之间的相关性。该领域的大多数研究都集中在额叶α波不对称性上。我们系统地检查了不同的传感器位置,并将传感器数据过滤到δ波段、θ波段、α波段、β波段和γ波段,或者不对EEG信号进行滤波。我们证实额叶α波不对称性与主观幸福感相关。然而,其他传感器之间的不对称性和/或将数据过滤到其他波段也显示出与主观幸福感值呈线性相关。大脑前部区域的不对称性不仅在α波段,而且在δ波段和θ波段,或者当数据未被过滤到特定波段时,都显示出具有统计学意义的结果。当对侧半球的EEG活动较高并过滤到不同频带时,后部区域的不对称性显示出与主观幸福感相关的趋势。因此,我们的结果让我们得出结论,仅关注额叶传感器和α波段可能无法揭示参与主观幸福感的大脑区域和频带的全貌。