Cortical thickness correlates of specific cognitive performance accounted for by the general factor of intelligence in healthy children aged 6 to 18.
Cortical thickness correlates of specific cognitive performance accounted for by the general factor of intelligence in healthy children aged 6 to 18.
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DOI：
10.1016/j.neuroimage.2011.01.016
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发表时间：
2011-04-15
期刊：
影响因子：
5.7
通讯作者：
Evans, Alan C.
中科院分区：
文献类型：
--
作者：
Karama, Sherif;Colom, Roberto;Johnson, Wendy;Deary, Ian J.;Haier, Richard;Waber, Deborah P.;Lepage, Claude;Ganjavi, Hooman;Jung, Rex;Evans, Alan C.
关键词：
流行的智力心理测量理论认为，认知表现的个体差异可归因于三个主要的方差来源：智力的一般因素(g)，认知能力领域，以及特定的测试要求和特质。在本研究中，我们系统地分析了皮质厚度与认知能力之间的关系，并对儿童和青少年的代表性样本（N = 207，平均年龄= 11.8;SD = 3.5；范围= 6至18.3岁）进行了调整。七个认知测试被包括在一个测量模型中，该模型确定了三个一阶因素（代表认知能力领域）和一个二阶因素（代表g）。计算认知能力领域分数的残差，以表示三个领域和七个测试的g独立方差。认知领域和个体测试分数以及残差分数根据皮质厚度进行了回归，调整了年龄、性别和脑容量的替代测量。G和认知领域得分与大脑中非常相似区域的皮质厚度呈正相关。对g的影响进行调整，消除了域和测试分数与皮质厚度的关联。在心理测量的框架内，在这个人口统计学上具有代表性的样本中，皮层厚度与复杂任务的认知表现的相关性被g很好地捕获。
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, we systematically analyzed associations between 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 were 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 were computed to represent g-independent variance for the three domains and seven tests. Cognitive domain and individual test scores as well as residualized scores were regressed against cortical thickness, adjusting for age, gender and a proxy measure of brain volume. g and cognitive domain scores were 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 well captured by g in this demographically representative sample.
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