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Updated: Mar 19, 2026
Studying Brain Function in Children Using Magnetoencephalography
Published on: April 8, 2019
Frequency specific patterns of resting-state networks development from childhood to adolescence: A
1College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning 110000, China; MEG Center, Division of Neurology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45220, USA.
Objective:
The present study investigated frequency dependent developmental patterns of the brain resting-state networks from childhood to adolescence.
Method:
Magnetoencephalography (MEG) data were recorded from 20 healthy subjects at resting-state with eyes-open. The resting-state networks (RSNs) was analyzed at source-level. Brain network organization was characterized by mean clustering coefficient and average path length. The correlations between brain network measures and subjects' age during development from childhood to adolescence were statistically analyzed in delta (1-4Hz), theta (4-8Hz), alpha (8-12Hz), and beta (12-30Hz) frequency bands.
Results:
A significant positive correlation between functional connectivity with age was found in alpha and beta frequency bands. A significant negative correlation between average path lengths with age was found in beta frequency band.
Conclusions:
The results suggest that there are significant developmental changes of resting-state networks from childhood to adolescence, which matures from a lattice network to a small-world network.
