Altered efficiency of white matter connections for language function in children with language disorder.

ABSTRACT: To characterize structural white matter substrates associated with language functions in children with language disorders (LD), a psychometry-driven diffusion tractography network was investigated with canonical correlation analysis (CCA), which can reliably predict expressive and receptive language scores from the nodal efficiency (NE) of the obtained network. The CCA found that the NE values of six regions: left inferior-frontal-opercular, left insular, left angular gyrus, left superior-temporal-gyrus, right hippocampus, and right cerebellar-lobule were highly correlated with language scores (ρ_expressive/ρ_receptive = 0.609/0.528), yielding significant differentiation of LD from controls using new imaging predictors u_expressive (F = 15.024, p = .0003) and

SUBMITTER: Lee MH 

PROVIDER: S-EPMC9022213 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature