Multiple Bases of Human Intelligence Revealed by Cortical Thickness and Neural Activation
Multiple Bases of Human Intelligence Revealed by Cortical Thickness and Neural Activation
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DOI：
10.1523/jneurosci.3259-08.2008
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发表时间：
2008-10-08
影响因子：
5.3
通讯作者：
Lee, Kun Ho
中科院分区：
文献类型：
--
作者：
Choi, Yu Yong;Shamosh, Noah A.;Lee, Kun Ho
我们假设智力的个体差异（斯皮尔曼的g）受到多个大脑区域的支持，特别是智力的流体（gF）和结晶（gC）成分与大脑功能和结构相关，在大脑区域之间具有不同的关联特征。在225名健康的年轻人中，使用结构和功能磁共振成像序列进行扫描，根据g与大脑结构或大脑功能之间的相关性定义感兴趣区域（ROI）。在这些ROI中，gC与结构（皮质厚度）的相关性比与功能的相关性更强，而gF与功能（推理过程中的血氧水平依赖信号）的相关性比与结构的相关性更强。我们通过生成一个智商（IQ）的神经测量预测模型进一步验证了这一发现，该模型解释了独立样本中IQ方差的50%。这些数据促使人们对智力的神经生物学有了细致入微的看法，为强调多个分布在不同功能上的大脑区域的理论提供了迄今为止最有说服力的证据。
Wehypothesized that individual differences in intelligence (Spearman's g) are supported by multiple brain regions, and in particular that fluid (gF) and crystallized (gC) components of intelligence are related to brain function and structure with a distinct profile of association across brain regions. In 225 healthy young adults scanned with structural and functional magnetic resonance imaging sequences, regions of interest (ROIs) were defined on the basis of a correlation between g and either brain structure or brain function. In these ROIs, gC was more strongly related to structure (cortical thickness) than function, whereas gF was more strongly related to function (blood oxygenation level-dependent signal during reasoning) than structure. We further validated this finding by generating a neurometric prediction model of intelligence quotient (IQ) that explained 50% of variance in IQ in an independent sample. The data compel a nuanced view of the neurobiology of intelligence, providing the most persuasive evidence to date for theories emphasizing multiple distributed brain regions differing in function.