Community synchronization of functional brain network with cognitive training

Abacus-based mental calculation (AMC) training is one of cognitive training methods, and can affect the functional segregation and integration of functional brain networks. However, there is no report about the impact of AMC training on functional brain networks from the dynamic behavior. The community synchronization of brain networks can promote information propagation and functional integration among brain regions. In this work, we focus on the effect of AMC training on the community synchronization of functional brain networks. The dynamic model based on and Hindmarsh-Rose neuron model is used to the functional brain networks of the AMC training group and the control group. The community synchronization of the functional brain networks are measured with the dynamic model. It is found that there are no significant differences between the AMC training group and the control group for synchronization at the level of the whole brain, but the synchronization of visual network associated with AMC training and the default network associated with resting-state increase significantly in the AMC training group, which indicates that information integration ability and information transmission ability between the brain regions of the two communities may be enhanced through AMC training. In addition, we notice the decrease in the synchronization of the auditory network for the AMC training group.