首页> 外文期刊>Cerebral cortex >Probabilistic maps, morphometry, and variability of cytoarchitectonic areas in the human superior parietal cortex.
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Probabilistic maps, morphometry, and variability of cytoarchitectonic areas in the human superior parietal cortex.

机译:人类顶叶皮层中细胞结构区域的概率图,形态和变异性。

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摘要

Recently, 8 areas (5Ci, 5M, 5L, 7PC, 7A, 7P, 7M, hIP3) in the human superior parietal cortex (SPC) were delineated in 10 postmortem brains using observer-independent cytoarchitectonic analysis. Here we present 3D probabilistic maps of these areas, quantifying the interindividual overlap for each voxel in stereotaxic reference space, and a maximum probability map, providing a contiguous parcellation. For all areas, we determined probabilities of mutual borders, calculated stereotaxic centers of gravity, and estimated volumes. A basic pattern of areas and borders was observed, which showed, however, intersubject variations and a significant interhemispheric asymmetry (7P, 7M) that may be functionally relevant. There was a trend toward higher intersubject anatomical variability in lateral compared with medial areas. For several areas (5M, 7PC, 7A, 7P), variability was significantly higher in the left hemisphere and/or in men, whereas for areas 5Ci and 5M there was a hemisphere-by-gender interaction. Differences in anatomical variability could bias group analyses in functional imaging studies by reducing sensitivity for activations of entities with high variability. The probabilistic maps provide an objective anatomical reference and account for the structural variability of the human brain. Integrated into functional imaging experiments, they can improve structure-function investigations of the human SPC.
机译:最近,使用独立于观察者的细胞结构分析方法,在10个死后大脑中划定了人类上顶叶皮层(SPC)的8个区域(5Ci,5M,5L,7PC,7A,7P,7M,hIP3)。在这里,我们展示了这些区域的3D概率图,量化了立体定位参考空间中每个体素的个体间重叠,以及提供了连续分割的最大概率图。对于所有区域,我们确定了相互边界的概率,计算出的立体定位重心以及估计的体积。观察到区域和边界的基本模式,但是显示出对象间的变化和可能与功能相关的明显的半球间不对称性(7P,7M)。与内侧区域相比,外侧区域的受试者间解剖变异性更高。在几个区域(5M,7PC,7A,7P),左半球和/或男性的变异性明显更高,而在5Ci和5M区域则存在半球与性别的相互作用。解剖变异性的差异可能会通过降低对高变异性实体激活的敏感性来偏向功能成像研究中的组分析。概率图提供了客观的解剖参考,并说明了人脑的结构变异性。集成到功能成像实验中,它们可以改善人类SPC的结构功能研究。

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