The Relationship Between IQ Level and Functional Brain Network Centrality During Cognitive Activity in Children

In the current study, we restored the functional brain networks of children aged 10 to 12 years old when performing cognitive tasks related to learning processes. To calculate connectivity, we chose the method of calculating the imaginary part of coherence (ICOH) in the theta, alpha and beta frequency ranges. To characterize each network, we calculated the main network indicators for them - the average degree of conditionality, the clustering coefficient, efficiency and average centrality. As a result of the search for correlates of network metrics and data on the performance of the tasks of the subjects, we found the presence of positive correlations of network centrality in the alpha frequency range with both the effectiveness of complex cognitive tasks and the overall level of intelligence of the subjects. Thus, the greater integration of the functional network contributes to a more efficient operation of complex cognitive functions.