双耳差频声刺激下的脑电特征

EEG Feature Under Binaural Beat Stimulation

为了研究双耳差频声刺激影响大脑状态的神经机制,采用功率谱、Lempel-Ziv复杂度(LZC)和基于互信息的脑网络等线性及非线性方法,深入探讨了两种不同模式的双耳差频声刺激(alpha&beta)对脑电的影响规律.13名受试者分别进行了alpha&beta差频刺激,结果表明自发脑电的功率谱并没有发现频率跟随响应效应,LZC也没有显著变化.而脑网络图则能够发现在alpha差频刺激下大脑皮层不同区域的信息连接性显著减弱,在beta差频声刺激下信息连接性则显著增强.因此,互信息脑网络图可以有效地监测大脑在双耳差频声刺激下的变化,为双耳差频声刺激的生物学效应提供了一种合理的解释.

In order to study the neural mechanism of brain state induced by binaural beat （BB）, linear and nonlinear methods, such as power spectral density, Lempel-Ziv complexity （LZC）and brain network based on cross mutual information were applied to discuss the change of brain under two kinds of BB stimulations （alpha ＆ beta）. Thirteen subjects were involved in alpha ＆ beta BB stimulations, and the results showed no frequency following re- sponse （FFR）by PSD of spontaneous electroencephalogram （EEG）and no obvious change by LZC. However, the information transmission among various cortical areas reduced under alpha BB stimulation but enhanced under beta BB stimulation by brain network. Therefore, brain network based on mutual information can effectively monitor the change of cerebral cortex under BB stimulation, which provides a new perspective for biological effects induced by BB stimulation.