ArticleDevelopmental cognitive neuroscience2020
Neurocognitive reorganization between crystallized intelligence, fluid intelligence and white matter microstructure in two age-heterogeneous developmental cohorts.
Article in Developmental cognitive neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 23 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
23 citing papers in PubMed, 56 citations in OpenAlex.
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- Associations between Fluid Intelligence and Physical Fitness in School Children.Healthcare (Basel, Switzerland) · 2024Article
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- Using Psychometric Network Analysis to Examine the Components of Spoken Word Recognition.Journal of cognition · 2024Article
- Different patterns of intrinsic functional connectivity at the default mode and attentional networks predict crystalized and fluid abilities in childhood.Cerebral cortex communications · 2023Article
- Dimensions of cognition, behaviour, and mental health in struggling learners: A spotlight on girls.JCPP advances · 2022Article
- Number sense: the mediating effect between nonverbal intelligence and children's mathematical performance.Psicologia, reflexao e critica : revista semestral do Departamento de Psicologia da UFRGS · 2022Article
- Longitudinal changes in the neural oscillatory dynamics underlying abstract reasoning in children and adolescents.NeuroImage · 2022Article
- Cognitive and Academic Skills in Two Developmental Cohorts of Different Ability Level: A Mutualistic Network Perspective.Journal of applied research in memory and cognition · 2022Article
- Education and Income Show Heterogeneous Relationships to Lifespan Brain and Cognitive Differences Across European and US Cohorts.Cerebral cortex (New York, N.Y. : 1991) · 2022Article
- The location of emotional intelligence measured by EQ-i in the personality and cognitive space: Are there gender differences?Frontiers in psychology · 2022Article
- Cognitive Dimensions of Learning in Children With Problems in Attention, Learning, and Memory.Journal of educational psychology · 2021Article
- Development of white matter microstructure and executive functions during childhood and adolescence: a review of diffusion MRI studies.Developmental cognitive neuroscience · 2021Review
- Bridging Brain and Cognition: A Multilayer Network Analysis of Brain Structural Covariance and General Intelligence in a Developmental Sample of Struggling Learners.Journal of Intelligence · 2021Article
- Learning Clique Subgraphs in Structural Brain Network Classification with Application to Crystallized Cognition.NeuroImage · 2021Article
- Predicting Students' Attitudes Toward Collaboration: Evidence From Structural Equation Model Trees and Forests.Frontiers in psychology · 2021Article
- Activity in the fronto-parietal multiple-demand network is robustly associated with individual differences in working memory and fluid intelligence.Cortex; a journal devoted to the study of the nervous system and behavior · 2020Article
Corrections and comments
- Erratum issued
Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
Abstract
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 neurocognitive 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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.