ABSTRACTCognitive performance in children is predictive of academic and social outcomes; therefore, understanding neurobiological mechanisms underlying individual differences in cognition during development may be important for improving quality of life. Some theories of intelligence argue that a single latent, psychological construct with a specific neural substrate underlies many cognitive processes. Here we show that a distributed configuration of cortical surface area and apparent thickness, when controlling for global imaging measures, is associated with cognitive performance in a large sample (N=10,145) of nine and ten year old children from the Adolescent Brain and Cognitive DevelopmentSM (ABCD) study. Measures of fluid and crystallised intelligence were associated with strikingly distinct regionalisation patterns of cortical areal expansion and apparent thickness. The minimal overlap in these associations has important implications for competing theories about developing intellectual functions. Importantly, not controlling for sociodemographic factors increased the similarity between these regionalisation patterns altering the inferences that would be made. This highlights the importance of understanding the shared variance between sociodemographic factors, cognition and brain structure particularly with a population-based sample such as with ABCD.SIGNIFICANCE STATEMENTA lack of statistical power in studies with small sample sizes has hindered research exploring associations between cognitive performance and cortical regionalisation patterns (when controlling for global imaging measures). Using the unprecedented ABCD study® sample, this paper demonstrates that individual variability in the regionalisation of the cortex relates to cognitive function and, importantly, distinct patterns of cortical morphology predict individual differences across different domains of cognitive performance. This heterogeneity highlights that the biology underlying “intelligence” is multifaceted. Moreover, we demonstrate that the sociodemographic diversity within ABCD impacts the association between cortical morphology and cognition similarly across cognitive domains highlighting the importance of understanding how these confounding factors can modify our conclusions regarding the association between brain structure and cognition.