Neuroimaging and genetic correlates of cognitive ability and cognitive development in adolescence
Adolescence is marked by changes in cognitive abilities and in several MRI-based measures of brain structure. This study took an individual-differences approach to help understand adolescent cognitive development in a large-sample longitudinal cohort, the IMAGEN study (initial n = 2,316). We used a latent change score model to assess the associations between levels and changes in the brain’s grey-matter regions and latent general cognitive ability between ages 14 and 19 years. As expected, higher cognitive ability was correlated with higher cortical volume and larger surface area, with more ambiguous results for cortical thickness. Higher-ability participants at age 14 tended to have accelerated subsequent cortical thinning, as well as cortical volume loss. There was no statistically significant link between changes in cognitive ability and changes in the brain measures we used. We also attempted to predict levels and changes in the brain and in cognitive ability using a polygenic score for genetic variants linked to educational attainment: the score was modestly associated with the baseline measures, but did not predict the trajectory of change in any measure to a statistically significant degree. Age-14 cortical volume and surface area—though not cortical thickness—mediated a portion (9-10%) of the association between the polygenic score and age-19 cognitive ability. These findings demonstrate how large-sample data can shed light on the links between brain and cognitive ability in this important phase of the lifespan.