This study investigates the age-related changes in the resilience of brain networks, specifically focusing on the language network, using magnetoencephalography (MEG) data from 85 children aged 4 to 19 years. By employing *in silico* attacks on brain networks, the researchers assessed network vulnerability across various densities using Functional Data Analysis (FDA). The findings reveal increased vulnerability with age for both random and betweenness centrality-based attacks on whole-brain and story networks, suggesting that developmental changes in network topology contribute to this increased vulnerability.
Publisher
Nature Communications
Published On
Nov 11, 2023
Authors
Brady J. Williamson, Hansel M. Greiner, Darren S. Kadis
Tags
brain networks
resilience
language network
children
network vulnerability
developmental changes
magnetoencephalography
Related Publications
Explore these studies to deepen your understanding of the subject.
