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人类初级皮质的地形变异:对神经成像、脑图谱绘制和神经生物学的影响。

Topographical variation of the human primary cortices: implications for neuroimaging, brain mapping, and neurobiology.

作者信息

Rademacher J, Caviness V S, Steinmetz H, Galaburda A M

机构信息

Department of Neurology, Beth Israel Hospital, Harvard Medical School, Boston, Massachusetts 02215.

出版信息

Cereb Cortex. 1993 Jul-Aug;3(4):313-29. doi: 10.1093/cercor/3.4.313.

Abstract

The relationships of the "primary" cytoarchitectonic neocortical fields, 17, 41, 3b, and 4 (Brodmann areas), to salient topographic landmarks have been reconstructed from serial histological sections in 20 human cerebral hemispheres (10 brains). Each of these architectonic fields is found to bear a characteristic relationship to a set of enframing anatomic landmarks, in particular, gyri, fissures, and sulci, that can be readily defined by MRI. Two classes of variability were found characteristic, at least to some extent, of each of the fields. Class 1 variability--variability that is not predictable from visible landmarks--was typical of the polar and for the cuneal and lingual extracalcarine distributions of field 17 and the distribution of field 4 upon the paracentral lobule. Class 2 variability--variability that is closely predictable from visible landmarks--is seen in the marked interindividual or interhemispheric variation in size or shape of a field and was found to be prominent for all four fields. Because of the prominence of class 2 variability, direct reference to the landmarks that frame these fields may be expected to be a more reliable basis for functional mapping than reference to a template or stereotactic coordinate-based system of reference to a standard or idealized brain.

摘要

已从20个大脑半球(10个脑)的系列组织学切片中重建了“主要的”细胞构筑新皮质区域(17区、41区、3b区和4区,布罗德曼区)与显著地形学标志之间的关系。发现这些构筑区域中的每一个都与一组界定性的解剖学标志存在特征性关联,特别是脑回、脑沟和脑裂,这些可通过磁共振成像(MRI)轻易界定。发现两类变异性至少在一定程度上是每个区域的特征。第1类变异性——无法从可见标志预测的变异性——在17区的极部、楔叶和舌回距状沟外分布以及4区在中央旁小叶的分布中很典型。第2类变异性——可从可见标志密切预测的变异性——见于一个区域大小或形状的显著个体间或半球间变异,并且发现这在所有四个区域中都很突出。由于第2类变异性很突出,相比于参考基于模板或立体定向坐标的标准或理想化脑的参考系统,直接参考界定这些区域的标志有望成为功能映射更可靠的基础。

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