Bahraminasab A, Ghasemi F, Stefanovska A, McClintock P V E, Friedrich R
Department of Physics, Lancaster University, Lancaster LA1 4YB, UK,
New J Phys. 2009 Oct 27;11(9). doi: 10.1088/1367-2630/11/10/103051.
We use drift and diffusion coefficients to reveal interactions between different oscillatory processes underlying a complex signal and apply the method to EEG delta and theta frequencies in the brain. By analysis of data recorded from rats during anaesthesia we consider the stability and basins of attraction of fixed points in the phase portrait of the deterministic part of the retrieved stochastic process. We show that different classes of dynamics are associated with deep and light anaesthesia, and we demonstrate that the predominant directionality of the interaction is such that theta drives delta.
我们使用漂移和扩散系数来揭示复杂信号背后不同振荡过程之间的相互作用，并将该方法应用于大脑中的脑电图δ波和θ波频率。通过分析麻醉期间大鼠记录的数据，我们考虑了恢复的随机过程确定性部分相图中固定点的稳定性和吸引域。我们表明，不同类型的动力学与深度和轻度麻醉相关，并且我们证明相互作用的主要方向性是θ波驱动δ波。
