Brain size and cortical structure in the adult human brain
Brain size and cortical structure in the adult human brain
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DOI：
10.1093/cercor/bhm244
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发表时间：
2008-09-01
期刊：
影响因子：
3.7
通讯作者：
Kim, Sun I.
中科院分区：
文献类型：
--
作者：
Im, Kiho;Lee, Jong-Min;Kim, Sun I.
我们研究了在大样本的磁共振成像数据的人类大脑的大小和皮层结构之间的比例关系。在148名正常受试者（n [男性/女性]：83/65，年龄[平均值+/-标准差]：25.0 +/- 4.9岁）中，使用基于三维表面的方法，通过几种测量方法（皮质体积、表面积和厚度、脑沟深度以及脑沟区域和脑沟壁的绝对平均曲率）估计皮质结构。我们发现显着较大的缩放指数比几何预测的皮质表面积，绝对平均曲率在脑沟区域和脑沟壁，和较小的皮质体积和厚度。随着大脑体积的增加，大脑皮层的厚度只会略有增加，但脑沟回的程度却会急剧增加，这表明人类的大脑皮层并不只是彼此的缩放版本。我们的研究结果与以前的假设是一致的，更大的局部集群的神经元间的连接将需要在一个更大的大脑，和纤维张力之间的局部皮质区会诱导皮质褶皱。我们认为，性别的影响解释大脑的大小影响在宏观和叶区域水平的皮质结构，它是必要的，以考虑真正的皮质措施和大脑大小之间的关系，由于线性立体定位正常化的局限性。
We investigated the scale relationship between size and cortical structure of human brains in a large sample of magnetic resonance imaging data. Cortical structure was estimated with several measures (cortical volume, surface area, and thickness, sulcal depth, and absolute mean curvature in sulcal regions and sulcal walls) using three-dimensional surface-based methods in 148 normal subjects (n [men/women]: 83/65, age [mean +/- standard deviation]: 25.0 +/- 4.9 years). We found significantly larger scaling exponents than geometrically predicted for cortical surface area, absolute mean curvature in sulcal regions and in sulcal walls, and smaller ones for cortical volume and thickness. As brain size increases, the cortex thickens only slightly, but the degree of sulcal convolution increases dramatically, indicating that human cortices are not simply scaled versions of one another. Our results are consistent with previous hypotheses that greater local clustering of interneuronal connections would be required in a larger brain, and fiber tension between local cortical areas would induce cortical folds. We suggest that sex effects are explained by brain size effects in cortical structure at a macroscopic and lobar regional level, and that it is necessary to consider true relationships between cortical measures and brain size due to the limitations of linear stereotaxic normalization.