Institute of Neuroscience, Newcastle University, Medical School, Framlington Place, Newcastle upon Tyne, UK.
Neuroimage. 2011 Jun 1;56(3):1059-71. doi: 10.1016/j.neuroimage.2011.03.008. Epub 2011 Mar 30.
Gamma Band Activity (GBA) is increasingly studied for its relation with attention, change detection, maintenance of working memory and the processing of sensory stimuli. Activity around the gamma range has also been linked with early visual processing, although the relationship between this activity and the low frequency visual evoked potential (VEP) remains unclear. This study examined the ability of blind and semi-blind source separation techniques to extract sources specifically related to the VEP and GBA in order to shed light on the relationship between them. Blind (Independent Component Analysis-ICA) and semi-Blind (Functional Source Separation-FSS) methods were applied to dense array EEG data recorded during checkerboard stimulation. FSS was performed with both temporal and spectral constraints to identify specifically the generators of the main peak of the VEP (P100) and of the GBA. Source localisation and time-frequency analyses were then used to investigate the properties and co-dependencies between VEP/P100 and GBA. Analysis of the VEP extracted using the different methods demonstrated very similar morphology and localisation of the generators. Single trial time frequency analysis showed higher GBA when a larger amplitude VEP/P100 occurred. Further examination indicated that the evoked (phase-locked) component of the GBA was more related to the P100, whilst the induced component correlated with the VEP as a whole. The results suggest that the VEP and GBA may be generated by the same neuronal populations, and implicate this relationship as a potential mediator of the correlation between the VEP and the Blood Oxygenation Level Dependent (BOLD) effect measured with fMRI.
伽马波段活动(GBA)因其与注意力、变化检测、工作记忆维持和感官刺激处理的关系而受到越来越多的研究。伽马频段周围的活动也与早期视觉处理有关,尽管这种活动与低频视觉诱发电位(VEP)之间的关系尚不清楚。本研究检查了盲源和半盲源分离技术提取专门与 VEP 和 GBA 相关的源的能力,以阐明它们之间的关系。盲源(独立成分分析-ICA)和半盲源(功能源分离-FSS)方法应用于在棋盘刺激期间记录的密集阵列 EEG 数据。FSS 同时使用时间和频谱约束来识别 VEP(P100)和 GBA 的主要峰值的发生器。然后使用源定位和时频分析来研究 VEP/P100 和 GBA 之间的性质和共同依赖性。使用不同方法提取的 VEP 分析表明,发生器的形态和定位非常相似。单试时频分析表明,当 VEP/P100 出现较大幅度时,GBA 更高。进一步的检查表明,GBA 的诱发(锁相)分量与 P100 更相关,而诱导分量与整个 VEP 相关。结果表明,VEP 和 GBA 可能由相同的神经元群体产生,这表明这种关系可能是 fMRI 测量的 VEP 与血氧水平依赖(BOLD)效应之间相关性的潜在介导因素。