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首页> 外文期刊>The Journal of Neuroscience: The Official Journal of the Society for Neuroscience >Structural covariance in the human cortex.
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Structural covariance in the human cortex.

机译：人类皮质的结构协方差。

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The morphology of the human cortex varies remarkably across individuals, regardless of overall brain size. It is currently unclear whether related cortical regions covary in gray matter density, as a result of mutually trophic influences or common experience-related plasticity. We acquired a structural magnetic resonance imaging scan from 172 subjects and extracted the regional gray matter densities from 12 readily identifiable regions of interest involved in sensorimotor or higher-order cognitive functions. We then used these values to predict regional densities in the remaining areas of the cortex, using voxel-based morphometry. This revealed patterns of positive and negative covariance that provide insight into the topographical organization of multiple cortical regions. We report that the gray matter density of a region is a good predictor of the density of the homotopic region in the contralateral hemisphere, with the striking exception of primary visual cortex. Whereas some regions express patterns of regional covariance that are mirror symmetrical relative to the interhemispheric fissure, other regions express asymmetric patterns of regional covariance. Finally, patterns of covariance are remarkably consistent between males and females, with the exception of the left amygdala, which is positively associated with the left and right anterior inferior temporal cortex in males and with the right angular gyrus in females. Our study establishes that the density of different cortical regions is coordinated within an individual. The coordinated variations we report are likely to be determined by both genetic and environmental factors and may be the basis for differences in individual behavior.
机译：人类大脑皮层的形态在各个个体之间都显着变化，而与整体大脑大小无关。目前尚不清楚，由于相互营养的影响或与经验有关的可塑性，相关的皮质区域是否在灰质密度中变化。我们获得了来自172名受试者的结构磁共振成像扫描，并从涉及感觉运动或更高阶认知功能的12个易于识别的感兴趣区域中提取了区域灰质密度。然后，我们使用这些值通过基于体素的形态计量来预测皮层其余区域的区域密度。这揭示了正协方差和负协方差的模式，这些模式提供了对多个皮质区域的地形组织的洞察力。我们报告说，一个区域的灰质密度是对侧半球同位区域密度的良好预测指标，但主要的视觉皮层除外。尽管某些区域表示的区域协方差模式相对于半球间裂缝呈镜像对称，但其他区域则表示的区域协方差不对称模式。最后，男性和女性之间的协方差模式非常一致，左杏仁核与男性左，右前下颞叶皮层以及女性的右角回正相关。我们的研究建立了不同的皮质区域的密度在一个人内协调。我们报告的协同变异可能是由遗传和环境因素决定的，并且可能是个体行为差异的基础。

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