Luders Eileen, Narr Katherine L, Thompson Paul M, Toga Arthur W
Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, Los Angeles, CA, USA.
Intelligence. 2009 Mar 1;37(2):156-163. doi: 10.1016/j.intell.2008.07.002.
With the advancement of image acquisition and analysis methods in recent decades, unique opportunities have emerged to study the neuroanatomical correlates of intelligence. Traditional approaches examining global measures have been complemented by insights from more regional analyses based on pre-defined areas. Newer state-of-the-art approaches have further enhanced our ability to localize the presence of correlations between cerebral characteristics and intelligence with high anatomic precision. These in vivo assessments have confirmed mainly positive correlations, suggesting that optimally increased brain regions are associated with better cognitive performance. Findings further suggest that the models proposed to explain the anatomical substrates of intelligence should address contributions from not only (pre)frontal regions, but also widely distributed networks throughout the whole brain.
近几十年来，随着图像采集和分析方法的进步，出现了研究智力的神经解剖学关联的独特机会。基于预定义区域的更多局部分析所获得的见解，对传统的全局测量方法进行了补充。更新的先进方法进一步提高了我们以高解剖精度定位大脑特征与智力之间相关性的能力。这些体内评估主要证实了正相关，表明最佳增加的脑区与更好的认知表现相关。研究结果进一步表明，为解释智力的解剖学基础而提出的模型不仅应考虑（前额）叶区域的贡献，还应考虑整个大脑中广泛分布的网络的贡献。
