S Karama, Y Ad-Dab'bagh, Rj Haier, Ij Deary, Oc Lyttelton, C Lepage, Ac Evans
McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Canada.
Intelligence. 2009 Mar;37(2):145-155. doi: 10.1016/j.intell.2008.09.006.
Neuroimaging studies, using various modalities, have evidenced a link between the general intelligence factor (g) and regional brain function and structure in several multimodal association areas. While in the last few years, developments in computational neuroanatomy have made possible the in vivo quantification of cortical thickness, the relationship between cortical thickness and psychometric intelligence has been little studied. Recently, cortical thickness estimations have been improved by the use of an iterative hemisphere-specific template registration algorithm which provides a better between-subject alignment of brain surfaces. Using this improvement, we aimed to further characterize brain regions where cortical thickness was associated with cognitive ability differences and to test the hypothesis that these regions are mostly located in multimodal association areas. We report associations between a general cognitive ability factor (as an estimate of g) derived from the four subtests of the Wechsler Abbreviated Scale of Intelligence and cortical thickness adjusted for age, gender, and scanner in a large sample of healthy children and adolescents (ages 6-18, N=216) representative of the US population. Significant positive associations were evidenced between the cognitive ability factor and cortical thickness in most multimodal association areas. Results are consistent with a distributed model of intelligence.
使用各种模式的神经影像学研究已经证明,一般智力因素(g)与几个多模态联合区域的脑功能和结构之间存在联系。在过去几年中,计算神经解剖学的发展使得皮质厚度的体内定量成为可能,但皮质厚度与心理测量智力之间的关系却鲜有研究。最近,通过使用迭代半球特异性模板配准算法改进了皮质厚度估计,该算法能更好地实现脑表面的个体间对齐。利用这一改进,我们旨在进一步表征皮质厚度与认知能力差异相关的脑区,并检验这些区域主要位于多模态联合区域的假设。我们报告了在一大群代表美国人群的健康儿童和青少年(6至18岁,N = 216)中,从韦氏儿童智力量表简式版的四个子测试得出的一般认知能力因素(作为g的估计值)与根据年龄、性别和扫描仪进行调整后的皮质厚度之间的关联。在大多数多模态联合区域,认知能力因素与皮质厚度之间存在显著的正相关。结果与智力的分布式模型一致。