Päeske Laura, Hinrikus Hiie, Lass Jaanus, Raik Jaan, Bachmann Maie
Centre for Biomedical Engineering, Department of Health Technologies, School of Information Technologies, Tallinn University of Technology, Tallinn, Estonia.
Department of Computer Systems, School of Information Technologies, Tallinn University of Technology, Tallinn, Estonia.
Front Physiol. 2020 Aug 12;11:910. doi: 10.3389/fphys.2020.00910. eCollection 2020.
The aim of the study was to analyze the relationship between resting state electroencephalographic (EEG) alpha functional connectivity (FC) and small-world organization. For that purpose, Pearson correlation was calculated between FC and small-worldness (SW). Three undirected FC measures were used: magnitude-squared coherence (MSC), imaginary part of coherency (ICOH), and synchronization likelihood (SL). As a result, statistically significant negative correlation occurred between FC and SW for all three FC measures. Small-worldness of MSC and SL were mostly above 1, but lower than 1 for ICOH, suggesting that functional EEG networks did not have small-world properties. Based on the results of the current study, we suggest that decreased alpha small-world organization is compensated with increased connectivity of alpha oscillations in a healthy brain.
该研究的目的是分析静息态脑电图(EEG)阿尔法功能连接性(FC)与小世界组织之间的关系。为此,计算了FC与小世界性(SW)之间的皮尔逊相关性。使用了三种无向FC测量方法:幅度平方相干性(MSC)、相干性虚部(ICOH)和同步似然性(SL)。结果,所有三种FC测量方法的FC与SW之间均出现了具有统计学意义的负相关。MSC和SL的小世界性大多高于1,但ICOH低于1,这表明功能性EEG网络不具有小世界特性。基于当前研究的结果,我们认为在健康大脑中,阿尔法小世界组织的减少通过阿尔法振荡连接性的增加得到补偿。