Two oscillating neural groups are called to be “synchronized” if over the time, their phase difference does not remarkably increase. In a real system composed of some oscillators, synchronization level is a computable parameter. According to this paradigm, depending on the functional state of the brain, the level of synchronization among brain regions may vary over time. This variation is called “synchronization fluctuation”(SF). Regarding brain’s higher functions such as consciousness and memory, for instance, SF patterns are important features of normal brain states (Schnitzler and Gross, 2005; Watrous et al., 2013).

In some pathological brain states such as epilepsy, however, hypersynchronization is a major problem (Lehnertz et al., 2009). In such situations, synchronization occurs without fluctuations. Therefore, in epilepsy, SF may lose its dynamicity, producing a narrowdynamics signal. The question which arises is:“how is it possible to manage diseases related to the poor dynamics of SF in the brain?”