Research on Differential Brain Networks before and after WM Training under Different Frequency Band Oscillations

Table 1

Brain network properties.

Measure	Binary definition	Meaning
Optimal path length ()		: optimal path length of the WM brain network; : shortest path for information transfer between nodes and . Through , information can be transferred more quickly and effectively; : collection of all the nodes in the WM network; : number of network nodes
Global efficiency ()		: global efficiency; the extension of the optimal path length of networks. Can measure the global information transmission capacity of networks
Clustering coefficient (CC)		: clustering coefficient of node ; describes the connectivity level between node and its neighbor nodes; : subgraph formed by all the neighbors of node; : actual number of edges in the subgraph; CC: clustering coefficient of the network
Local efficiency ()		: local efficiency of node represents the information exchange ability after deleting node in subgraph; : shortest path between nodes and in the subnetwork; : local efficiency of the network
Degree (Deg)		Dega: degree of node; Deg: degree of the network
Small-world properties		CC^real: clustering coefficient of the real network; CC^random: clustering coefficient of the random network; : optimal path length of the real network; : optimal path length of the random network; : small-world properties; when is significantly larger than 1, the network satisfies small-world properties