Institute of Biomedical Engineering and Informatics, Ilmenau University of Technology, Ilmenau, Germany.
J Clin Neurophysiol. 2012 Feb;29(1):33-41. doi: 10.1097/WNP.0b013e318246ad6e.
A coupled system of nonlinear neural oscillators with an individual resonance frequency is assumed to form the neuronal substrate for the photic driving phenomenon. The aim was to investigate the spatiotemporal stability of these oscillators and quantify the spatiotemporal process of engagement and disengagement of the neuronal oscillators in both multitrial and single-trial data.
White light-emitting diode flicker stimulation was used at 15 frequencies, which were set relative to the individual α frequency of each of the 10 healthy participants. Simultaneously, the electroencephalogram (EEG) and the magnetoencephalogram (MEG) were recorded. Subsequently, spatiotemporal matching pursuit (MP) algorithms were used to analyze the EEG and MEG topographies.
Intraindividually similar topographies were found at stimulation frequencies close to (1) the individual α frequency and (2) half the individual α frequency in the multitrial and the single-trial cases. In both stimulation frequency ranges, the authors observed stable topographies 5 to 10 stimuli after the beginning of the stimulation and lasting three nonexisting periods after the end of the stimulation. This was interpreted as the engaging/disengaging effect of the observed oscillations, because especially the frequency parameter adopted before and after stable topographies were observed. Topographic entrainment was slightly more pronounced in MEG as compared with that in EEG.
The results support the hypothesis of nonlinear information processing in human visual system, which can be described by nonlinear neural oscillators.
假设具有个体谐振频率的非线性神经振荡器的耦合系统构成了光驱动现象的神经元基础。目的是研究这些振荡器的时空稳定性,并量化多试次和单试次数据中神经元振荡器的参与和脱离的时空过程。
使用白色发光二极管闪烁刺激,频率相对于 10 名健康参与者的个体α频率中的每一个进行设置。同时,记录脑电图(EEG)和脑磁图(MEG)。随后,使用时空匹配追踪(MP)算法分析 EEG 和 MEG 地形图。
在多试次和单试次情况下,刺激频率接近(1)个体α频率和(2)个体α频率的一半时,个体内相似的地形图被发现。在这两个刺激频率范围内,作者观察到稳定的地形图在刺激开始后 5 到 10 个刺激后出现,并在刺激结束后持续三个不存在的时期。这被解释为观察到的振荡的参与/脱离效应,因为尤其是在观察到稳定地形图前后,频率参数被采用。与 EEG 相比,MEG 中的地形图同步更为明显。
结果支持人类视觉系统中非线性信息处理的假设,该过程可以用非线性神经振荡器来描述。