Suppr超能文献

人类初级和次级视觉皮层中神经元与神经胶质细胞数量密度的比较。

Comparison of neuronal and glial numerical density in primary and secondary visual cortex of man.

作者信息

Leuba G, Garey L J

机构信息

Institute of Anatomy, University of Lausanne, Switzerland.

出版信息

Exp Brain Res. 1989;77(1):31-8. doi: 10.1007/BF00250564.

Abstract

The numerical density of neurons and glial cells was estimated in visual area 18 of the adult human cerebral cortex and compared with that of area 17. Blocks of areas 17 and 18 came from the same brains and this allowed the comparison of 1) neuronal and glial numerical densities through the whole cortical depth with calculation of the neuron/glia ratio, 2) neuronal and glial numbers under one square millimeter of cortical surface, and 3) neuronal numerical densities in three groups of identified layers. The mean neuronal density is approximately 40,000 neurons/mm3 in area 17 and 31,500/m3 in area 18. The mean glial density is around 27,000/mm3 in area 17 and 32,000/mm3 in area 18. This gives a neuron/glia ratio of approximately 1.5 in area 17 and of 1.0 in area 18, but the total cellular density is similar in both areas. There are about 90,000 neurons and 64,000 glial cells under one square millimeter of cortical surface in area 17, and some 73,000 neurons and 74,000 glial cells in area 18. The higher neuronal density in area 17 is found through the whole depth of cortex and does not seem to be more pronounced in layer IVc of area 17 compared to layer IV in area 18 than in the groups of layers II-III and V-VI.

摘要

对成人大脑皮层18区的神经元和神经胶质细胞的数量密度进行了估计,并与17区进行了比较。17区和18区的组织块取自相同的大脑,这使得能够进行以下比较:1)通过整个皮层深度计算神经元/神经胶质细胞比率来比较神经元和神经胶质细胞的数量密度;2)比较每平方毫米皮层表面下的神经元和神经胶质细胞数量;3)比较三组已确定层中的神经元数量密度。17区的平均神经元密度约为40,000个神经元/mm³,18区为31,500个/mm³。17区的平均神经胶质细胞密度约为27,000个/mm³,18区为32,000个/mm³。这使得17区的神经元/神经胶质细胞比率约为1.5,18区为1.0,但两个区域的总细胞密度相似。17区每平方毫米皮层表面下约有90,000个神经元和64,000个神经胶质细胞,18区约有73,000个神经元和74,000个神经胶质细胞。17区较高的神经元密度在整个皮层深度都存在,与18区的IV层相比,17区IVc层的神经元密度在II - III层和V - VI层组中似乎并不更明显。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验