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A Comparison of Heritability Maps of Cortical Surface Area and Thickness and the Influence of Adjustment for Whole Brain Measures: A Magnetic Resonance Imaging Twin Study

机译:皮质表面积和厚度遗传性图的比较及对整个大脑措施调整的影响:磁共振成像双床研究

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摘要

Understanding the genetic and environmental contributions to measures of brain structure such as surface area and cortical thickness is important for a better understanding of the nature of brain-behavior relationships and changes due to development or disease. Continuous spatial maps of genetic influences on these structural features can contribute to our understanding of regional patterns of heritability, since it remains to be seen whether genetic contributions to brain structure respect the boundaries of any traditional parcellation approaches. Using data from magnetic resonance imaging scans collected on a large sample of monozygotic and dizygotic twins in the Vietnam Era Twin Study of Aging, we created maps of the heritability of areal expansion (a vertex-based area measure) and cortical thickness and examined the degree to which these maps were affected by adjustment for total surface area and mean cortical thickness. We also compared the approach of estimating regional heritability based on the average heritability of vertices within the region to the more traditional region-of-interest (ROI)-based approach. The results suggested high heritability across the cortex for areal expansion and, to a slightly lesser degree, for cortical thickness. There was a great deal of genetic overlap between global and regional measures for surface area, so maps of region-specific genetic influences on surface area revealed more modest heritabilities. There was greater inter-regional variability in heritabilities when calculated using the traditional ROI-based approach compared to summarizing vertex-by-vertex heritabilities within regions. Discrepancies between the approaches were greatest in small regions and tended to be larger for surface area than for cortical thickness measures. Implications regarding brain phenotypes for future genetic association studies are discussed.
机译:了解遗传和环境对脑结构测量的遗传和环境贡献,如表面积和皮质厚度,对于更好地了解脑行为关系的性质和由于发育或疾病而改变的性质来说是重要的。对这些结构特征的遗传影响的持续空间地图可以有助于我们对遗传性区域模式的理解,因为脑结构遗传贡献是否尊重任何传统局部方法的界限。使用来自磁共振成像扫描的数据,在越南时代衰老的越南双胞胎研究中收集的磁共振成像扫描,我们创建了面积扩张(基于顶点的面积测量)和皮质厚度的地图,并检查了程度这些地图受到整个表面积的调节和平均皮质厚度的影响。我们还将基于该地区内部顶点的平均遗传性估算了区域遗传性的方法,以更为传统的兴趣区域(ROI)的方法。结果表明皮质膨胀的皮质遗传性高,略低于皮质厚度。全球和区域区措施之间存在大量遗传重叠,因此地区地区的地区特异性遗传影响的地图揭示了更适中的遗传性。在使用传统的ROI的方法计算的情况下,与总结区域内的顶点封闭性相比,遗产在遗传方面存在更大的区域变异性。这种方法之间的差异在小地区最大,表面积比皮质厚度措施更大。讨论了关于未来遗传关联研究的脑表型研究的影响。

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