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Virtual lesions in MEG reveal increasing vulnerability of the language network from early childhood through adolescence

Medicine and Health

Virtual lesions in MEG reveal increasing vulnerability of the language network from early childhood through adolescence

B. J. Williamson, H. M. Greiner, et al.

This fascinating study explored age-related changes in the resilience of brain networks, focusing on the language network in children aged 4 to 19. Conducted by Brady J. Williamson, Hansel M. Greiner, and Darren S. Kadis, the research highlights how developmental changes in network topology contribute to increased vulnerability in brain networks as children grow.

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Playback language: English
Abstract
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
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