The relationship between the intelligence and brain morphology is warmly concerned in cognitive field. General intelligence can be defined as the weighted sum of fluid and crystallized intelligence. Fluid abilities depend on genes and genes expression and less depend on experiences. Thus, these abilities develop rapidly during childhood, usually peaking in adulthood and then decreasing with age. Crystallized abilities, in contrast, more depend on experiences. However, the biological foundation of human intelligence remains to be revealed . In this study, by utilizing the structural brain magnetic resonance imaging from a large sample of the Adolescent Brain Cognitive Development Study , the largest cohort focusing in brain development and child healthy in the United States, we aim to identify the association between intelligence and cortical thickness in adolescents both from commonality and individuality. We use ABCD data set around 11,000 samples cortical thickness and cognitive scores to analysis their association , both from mean and dispersion aspects. Using double generalized linear model, the mean model results is almost the same as generalized linear model, we found crystallized intelligenceare more associated with cortical thickness than fluid intelligence in adolescents around 10 years old. We found the frontal gyri regions thickness are negative with intelligence , which is consistent with previous study. Intelligence appears to be associated with widespread increased mean differences and decreased heterogeneity in  cortical thickness . The results seem to support the notion that cognitive function has high heterogeneity . Higher cognitive abilities have lower heterogeneity, and lower cognitive abilities has higher heterogeneity .
Most studies indicate that intelligence (g) is positively correlated with cortical thickness. However, the interindividual variability of cortical thickness has not been taken into account . In this study, we aimed to identify the association between intelligence and cortical thickness in adolescents from both the group's mean and dispersion point of view, utilizing the structural brain imaging from the Adolescent Brain and Cognitive Development (ABCD) Consortium , the largest cohort in early adolescents around 10 years old. The mean and dispersion parameters of cortical thickness and their association with intelligence were estimated using double generalized linear models(DGLM). We found that for the mean model part, the thickness of the frontal lobe like superior frontal gyrus was negatively related to intelligence, while the surface area was most positively associated with intelligence in the frontal lobe. In the dispersion part, intelligence was negatively correlated with the dispersion of cortical thickness in widespread areas, but not with the surface area. These results suggested that people with higher IQ are more similar in cortical thickness , which may be related to less differentiation or heterogeneity in cortical columns .
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The relationship between the intelligence and brain morphology is warmly concerned in cognitive field. General intelligence can be defined as the weighted sum of fluid and crystallized intelligence. Fluid abilities depend on genes and genes expression and less depend on experiences. Thus, these abilities develop rapidly during childhood, usually peaking in adulthood and then decreasing with age. Crystallized abilities, in contrast, more depend on experiences.
Most studies indicate that intelligence (g) is positively correlated with cortical thickness.
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biological foundation of human intelligence remains to be revealed
interindividual variability of cortical thickness has not been taken into account
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by
we aimed to identify the association between intelligence and cortical thickness in adolescents from both the group's mean and dispersion point of view,
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magnetic resonance imaging from a large sample of
imaging from
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Cognitive Development Study
and Cognitive Development (ABCD) Consortium
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focusing in brain development and child healthy in the United States, we aim to identify the association between intelligence and cortical thickness in adolescents both from commonality and individuality. We use ABCD data set around 11,000 samples
in early adolescents around 10 years old. The mean and dispersion parameters of
R
cognitive scores to analysis their association , both from mean and dispersion aspects. Using
their association with intelligence were estimated using
R
model,
models(DGLM). We found that for
R
results is almost the same as generalized linear model, we found crystallized intelligenceare more associated with cortical thickness than fluid intelligence in adolescents around 10 years old. We found the frontal gyri regions thickness are negative with intelligence , which is consistent with previous study. Intelligence appears to be associated with widespread increased mean differences and decreased heterogeneity
part, the thickness of the frontal lobe like superior frontal gyrus was negatively related to intelligence, while the surface area was most positively associated with intelligence
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the frontal lobe. In the dispersion part, intelligence was negatively correlated with the dispersion of cortical thickness in widespread areas, but not with the surface area. These results suggested that people with higher IQ are more similar in
R
. The results seem to support the notion that cognitive function has high heterogeneity . Higher cognitive abilities have lower heterogeneity, and lower cognitive abilities has higher heterogeneity
, which may be related to less differentiation or heterogeneity in cortical columns