Fig. 6: State-induced changes of wave patterns in neural mass model.
From: Complexity of cortical wave patterns of the wake mouse cortex
a Examples of simulated wave patterns. Color indicates the value of voxel voltage. Upper: anesthetized state (model parameter \(p=0.5\)). Lower: awake state (model parameter \(p=0\)). b-g, Spatiotemporal properties during waking up. Brain states 1-6 correspond to parameter \(p=0.5,\,0.4,\,0.3,\,0.2,\,0.1,\,0\) in our model simulation, from anesthetized (state 1) to wakefulness (state 6). Error bar = SEM; N = 10 trials. b The average speed of waves. Inset: analytical prediction (see SI) of the overall and large-scale wave speeds from anesthetized to wakefulness states. Note the increase in the speed of large waves (inset) but decrease in the overall wave speed with the transition into wakefulness (see Supplementary Information). c Heterogeneity of the wave speeds. d Homogeneity of the wave directions. e Boxplots for average duration of the different wave patterns. f Boxplots for average number of wave patterns every second. For boxplots, center line indicates the median value, lower and upper limits of the box indicate the 25% and 75% percentiles, and whiskers give the maximum and minimum values. Outliers are indicated with “+”. N = 10 trials. g The probability of the number of local complex waves (source, sink and saddle) in each frame.
