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Cortical thickness correlates of specific cognitive performance accounted for by the general factor of intelligence in healthy children aged 6 to 18.

, , , , , , , , , and . NeuroImage, 55 (4): 1443-1453 (2011)

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Neuroanatomic overlap between intelligence and cognitive factors: Morphometry methods provide support for the key role of the frontal lobes., , , , , , , , and . NeuroImage, (2013)Evidence for a cerebral cortical thickness network anti-correlated with amygdalar volume in healthy youths: Implications for the neural substrates of emotion regulation., , , , , , , and . NeuroImage, (2013)Maturational trajectories of pericortical contrast in typical brain development., , , , , , , , , and 1 other author(s). NeuroImage, (2021)Cortical thickness correlates of specific cognitive performance accounted for by the general factor of intelligence in healthy children aged 6 to 18., , , , , , , , , and . NeuroImage, 55 (4): 1443-1453 (2011)Trajectories of cortical thickness maturation in normal brain development - The importance of quality control procedures., , , , , , , and . NeuroImage, (2016)Reproducibility of brain-cognition relationships using different cortical surface-based analysis protocols., , , , , , , , , and . ISBI, page 1019-1022. IEEE, (2014)Cognitive ability changes and dynamics of cortical thickness development in healthy children and adolescents., , , , and . NeuroImage, (2014)Positional and surface area asymmetry of the human cerebral cortex., , , , , , and . NeuroImage, 46 (4): 895-903 (2009)Patterns of cortical thickness and surface area in early Parkinson's disease., , , , , , and . NeuroImage, 55 (2): 462-467 (2011)Sex differences in neocortical structure and cognitive performance: A surface-based morphometry study., , , , , and . NeuroImage, (2015)