The reorganization of communication hubs coordinate neurofunctional network optimization in children's visual development

The folder "Individual_ESI_matrix.zip" is the dataset for the task-related electrical source imaging dynamics when the subjects were passively viewing visual Chinese character, human face, and common object. The source localization was based on functional brain region parcellations, and the automated anatomical labeling (AAL) parcellation with 90 brain regions across the whole brain was adopted.The folder "Individual_FCs_matrix.zip" is the dataset for the task-related functional connectivity edge (debiased weighted phase lag index) between each two brain regions. The dwPLI of each pair was averaged at the dimension of trial, timestep (0–600ms), and frequency (9–30Hz) to represent the FCs.The folder "Individual_DOC_matrix.zip" is the dataset for the task-related hubness of each node. We employed DOC as an unbiased, count-based graph-theory measurement to assess the intensity of hubness of every region in the brain. Based on the graph theory of functional network, the centrality is defined as the sum of weights from edges connecting to a node.