Modeling differences in neurodevelopmental maturity of the reading network using support vector regression on functional connectivity data.

ABSTRACT: The construction of growth charts trained to predict age or developmental deviation (the 'brain-age index') based on structural/functional properties of the brain may be informative of children's neurodevelopmental trajectories. When applied to both typically and atypically developing populations, results may indicate that a particular condition is associated with atypical maturation of certain brain networks. Here, we focus on the relationship between reading disorder (RD) and maturation of functional connectivity (FC) patterns in the prototypical reading/language network using a cross-sectional sample of N = 742 participants aged 6-21 years. A support vector regression model is trained to predict chronological age from FC data derived from a whole-brain model as well as multiple 'reduced

SUBMITTER: Lasnick OHM 

PROVIDER: S-EPMC12340806 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature