ArticleHuman brain mapping2020
Crystallized and fluid intelligence are predicted by microstructure of specific white-matter tracts.
Article in Human brain mapping, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Electrophysiological resting-state signatures link polygenic scores to general intelligence.Scientific reports · 2025Observational
- The impact of early childhood adversity on adult cognitive performance: The mediating roles of childhood cognitive ability and educational attainment.Social science & medicine (1982) · 2025Article
- Neural correlates differ between crystallized and fluid intelligence in adolescents.Translational psychiatry · 2025Article
- Exploring crystallized and fluid intelligence in down syndrome using graph theory.Scientific reports · 2024Article
- An Examination of the Motives for Attributing and Interpreting Deception in People with Amnestic Mild Cognitive Impairment.Journal of Intelligence · 2024Article
- Investigating robust associations between functional connectivity based on graph theory and general intelligence.Scientific reports · 2024Article
- Article
- Blood pressure-related white matter microstructural disintegrity and associated cognitive function impairment in asymptomatic adults.Stroke and vascular neurology · 2023Article
- Decoding information about cognitive health from the brainwaves of sleep.Scientific reports · 2023Article
- Structural architecture and brain network efficiency link polygenic scores to intelligence.Human brain mapping · 2023Article
- Neuroplasticity enables bio-cultural feedback in Paleolithic stone-tool making.Scientific reports · 2023Article
- Longitudinally stable, brain-based predictive models mediate the relationships between childhood cognition and socio-demographic, psychological and genetic factors.Human brain mapping · 2022Article
- Emotion Recognition in a Health Continuum: Comparison of Healthy Adults of Advancing Age, Community Dwelling Adults Bearing Vascular Risk Factors and People Diagnosed with Mild Cognitive Impairment.International journal of environmental research and public health · 2022Article
- Dissociated brain functional connectivity of fast versus slow frequencies underlying individual differences in fluid intelligence: a DTI and MEG study.Scientific reports · 2022Article
- Estimates of brain age for gray matter and white matter in younger and older adults: Insights into human intelligence.Brain research · 2021Article
- The Cuban Human Brain Mapping Project, a young and middle age population-based EEG, MRI, and cognition dataset.Scientific data · 2021Article
- Learning Clique Subgraphs in Structural Brain Network Classification with Application to Crystallized Cognition.NeuroImage · 2021Article
- Crystallized and fluid intelligence are predicted by microstructure of specific white-matter tracts.Human brain mapping · 2020Article
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6 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Studies of the neural basis of intelligence have focused on comparing brain imaging variables with global scales instead of the cognitive domains integrating these scales or quotients. Here, the relation between mean tract-based fractional anisotropy (mTBFA) and intelligence indices was explored. Deterministic tractography was performed using a regions of interest approach for 10 white-matter fascicles along which the mTBFA was calculated. The study sample included 83 healthy individuals from the second wave of the Cuban Human Brain Mapping Project, whose WAIS-III intelligence quotients and indices were obtained. Inspired by the "Watershed model" of intelligence, we employed a regularized hierarchical Multiple Indicator, Multiple Causes model (MIMIC), to assess the association of mTBFA with intelligence scores, as mediated by latent variables summarizing the indices. Regularized MIMIC, used due to the limited sample size, selected relevant mTBFA by means of an elastic net penalty and achieved good fits to the data. Two latent variables were necessary to describe the indices: Fluid intelligence (Perceptual Organization and Processing Speed indices) and Crystallized Intelligence (Verbal Comprehension and Working Memory indices). Regularized MIMIC revealed effects of the forceps minor tract on crystallized intelligence and of the superior longitudinal fasciculus on fluid intelligence. The model also detected the significant effect of age on both latent variables.
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