期刊
DEVELOPMENTAL COGNITIVE NEUROSCIENCE
卷 41, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.dcn.2019.100743
关键词
Neurocognitive reorganization; Crystallized intelligence; Fluid intelligence; White matter; Structural equation modelling
资金
- MRC Cognition and Brain Sciences Unit, University of Cambridge
- Cambridge Trust
- UK Medical Research Council (MRC)
- Studienstiftung des deutschen Volkes (German Academic Scholarship Foundation)
- European Union's Horizon 2020 research and innovation programme [732592]
- Wellcome Trust [107392/Z/15/Z]
- UK Medical Research Council [SUAG/014 RG91365]
- H2020 Societal Challenges Programme [732592] Funding Source: H2020 Societal Challenges Programme
- Medical Research Council [MC_UP_1401/1] Funding Source: researchfish
- Wellcome Trust [107392/A/15/Z] Funding Source: researchfish
- MRC [MC_UP_1401/1, MC_UU_00005/9] Funding Source: UKRI
Despite the reliability of intelligence measures in predicting important life outcomes such as educational achievement and mortality, the exact configuration and neural correlates of cognitive abilities remain poorly understood, especially in childhood and adolescence. Therefore, we sought to elucidate the factorial structure and neural substrates of child and adolescent intelligence using two cross-sectional, developmental samples (CALM: N = 551 (N = 165 imaging), age range: 5-18 years, NKI-Rockland: N = 337 (N = 65 imaging), age range: 6-18 years). In a preregistered analysis, we used structural equation modelling (SEM) to examine the neumcognitive architecture of individual differences in childhood and adolescent cognitive ability. In both samples, we found that cognitive ability in lower and typical-ability cohorts is best understood as two separable constructs, crystallized and fluid intelligence, which became more distinct across development, in line with the age differentiation hypothesis. Further analyses revealed that white matter microstructure, most prominently the superior longitudinal fasciculus, was strongly associated with crystallized (gc) and fluid (gf) abilities. Finally, we used SEM trees to demonstrate evidence for developmental reorganization of gc and gf and their white matter substrates such that the relationships among these factors dropped between 7-8 years before increasing around age 10. Together, our results suggest that shortly before puberty marks a pivotal phase of change in the neurocognitive architecture of intelligence.
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