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

ABSTRACT: In childhood, language outcomes following brain injury are inversely related to age. Neuroimaging findings suggest that extensive representation and/or topological redundancy may confer the pediatric advantage. Here, we assess whole brain and language network resilience using in silico attacks, for 85 children participating in a magnetoencephalography (MEG) study. Nodes are targeted based on eigenvector centrality, betweenness centrality, or at random. The size of each connected component is assessed after iterated node removal; the percolation point, or moment of dis-integration, is defined as the first instance where the second largest component peaks in size. To overcome known effects of fixed thresholding on subsequent graph and resilience analyses, we study percolation across all poss

SUBMITTER: Williamson BJ 

PROVIDER: S-EPMC10640569 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature