Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Prevailing psychometric theories of intelligence posit that individual differences in cognitive performance are attributable to three main sources of variance: the general factor of intelligence ( g ), cognitive ability domains, and specific test requirements and idiosyncrasies. Cortical thickness has been previously associated with  g . In the present study,  systematically analyzed associations beten cortical thickness and cognitive performance with and without adjusting for the effects of  g  in a representative sample of children and adolescents (N = 207, Mean age = 11.8; SD = 3.5; Range = 6 to 18.3 years). Seven cognitive tests re included in a measurement model that identified three first-order factors (representing cognitive ability domains) and one second-order factor representing  g . Residuals of the cognitive ability domain scores re computed to represent  g -independent variance for the three domains and seven tests. Cognitive domain and individual test scores as ll as residualized scores re regressed against cortical thickness, adjusting for age, gender and a proxy measure of brain volume.  g  and cognitive domain scores re positively correlated with cortical thickness in very similar areas across the brain. Adjusting for the effects of  g  eliminated associations of domain and test scores with cortical thickness. Within a psychometric framework, cortical thickness correlates of cognitive performance on complex tasks are ll captured by  g  in this demographically representative sample.
['Sherif Karama', 'Roberto Colom', 'Wendy Johnson', 'Ian J. Deary', 'Richard J. Haier', 'Deborah P. Waber', 'Claude Lepage', 'Hooman Ganjavi', 'Rex E. Jung', 'Alan C. Evans']
I am writing a research paper on a idea Cortical thickness correlates of specific cognitive performance accounted for by the general factor of intelligence in healthy children aged 6 to 18
[{"from": "human", "value": "I am writing a research paper on a idea Cortical thickness correlates of specific cognitive performance accounted for by the general factor of intelligence in healthy children aged 6 to 18"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Prevailing psychometric theories of intelligence posit that individual differences in cognitive performance are attributable to three main sources of variance: the general factor of intelligence ( g ), cognitive ability domains, and specific test requirements and idiosyncrasies. Cortical thickness has been previously associated with  g . In the present study,  systematically analyzed associations beten cortical thickness and cognitive performance with and without adjusting for the effects of  g  in a representative sample of children and adolescents (N\u00a0=\u00a0207, Mean age\u00a0=\u00a011.8; SD\u00a0=\u00a03.5; Range\u00a0=\u00a06 to 18.3\u00a0years). Seven cognitive tests re included in a measurement model that identified three first-order factors (representing cognitive ability domains) and one second-order factor representing  g . Residuals of the cognitive ability domain scores re computed to represent  g -independent variance for the three domains and seven tests. Cognitive domain and individual test scores as ll as residualized scores re regressed against cortical thickness, adjusting for age, gender and a proxy measure of brain volume.  g  and cognitive domain scores re positively correlated with cortical thickness in very similar areas across the brain. Adjusting for the effects of  g  eliminated associations of domain and test scores with cortical thickness. Within a psychometric framework, cortical thickness correlates of cognitive performance on complex tasks are ll captured by  g  in this demographically representative sample."}]