皮层神经磁响应的频率和相位同步性
Frequency and Phase Synchronization in Neuromagnetic Cortical Responses to Flickering-Color Stimuli
摘要：
在我们早期的研究中，我们分析了一组对照人类受试者（9名志愿者）和一名光敏性癫痫患者（一名12岁的女孩）对闪烁颜色刺激的神经磁反应（脑磁图- MEG），结果表明闪烁噪声光谱（FNS）能够识别每种生物体反应的特定差异。个体脑磁图响应的高度特异性表现在原始信号的混沌和共振分量的FNS参数值中。本研究应用FNS交叉关联函数分析在处理红-蓝闪烁色刺激的人类皮层空间分离点同时测量的MEG反应之间的相关性。结果表明，控制（健康）受试者的交叉相关性的特点是在不同的点的皮层的频率和相位同步，与动态的神经磁响应被确定的低频过程，对应于正常的生理节律。但对于患者来说，频率和相位同步被打破，这与施加闪烁颜色刺激时皮层调节功能的抑制有关，并且更高的频率开始起主导作用。提示脑磁图反应的相关性破坏是导致光敏性癫痫的病理变化的指标，可用于开发基于FNS交叉关联函数分析的疾病诊断方法。
英文摘要：
In our earlier study dealing with the analysis of neuromagnetic responses (magnetoencephalograms - MEG) to flickering-color stimuli for a group of control human subjects (9 volunteers) and a patient with photosensitive epilepsy (a 12-year old girl), it was shown that Flicker-Noise Spectroscopy (FNS) was able to identify specific differences in the responses of each organism. The high specificity of individual MEG responses manifested itself in the values of FNS parameters for both chaotic and resonant components of the original signal. The present study applies the FNS cross-correlation function to the analysis of correlations between the MEG responses simultaneously measured at spatially separated points of the human cortex processing the red-blue flickering color stimulus. It is shown that the cross-correlations for control (healthy) subjects are characterized by frequency and phase synchronization at different points of the cortex, with the dynamics of neuromagnetic responses being determined by the low-frequency processes that correspond to normal physiological rhythms. But for the patient, the frequency and phase synchronization breaks down, which is associated with the suppression of cortical regulatory functions when the flickering-color stimulus is applied, and higher frequencies start playing the dominating role. This suggests that the disruption of correlations in the MEG responses is the indicator of pathological changes leading to photosensitive epilepsy, which can be used for developing a method of diagnosing the disease based on the analysis with the FNS cross-correlation function.
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