[THE METHOD OF ANALYSIS OF Y-NEURON POPULATIONS IN THE LATERAL GENICULATE BODY OF THE CAT].

A A Mikhalkin, N S Merkulyeva
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引用次数: 0

Abstract

The paper presents a method of analysis of cell populations that combines the use of normalized spatial coordinates of the neurons with the morphometric criteria of their evaluation. These algorithms were applied to check the heterogeneity of apopulation of neurons Y-conducting channel in cat at the level of the lateral geniculate body (LGB). As a specific marker of Y-neurons, SMI-32 antibodies were used. Evaluated The dynamics of the distribution of the number of cells and the orientation of their soma within each layer and mediolaterally along the length of LGB dorsal nucleus (LGBDN). Among the SMI-32-positive neurons, the existence of at least two populations was detected differing in number, orientation and distribution of the soma in different layers of LGBDN. The heterogeneity of Y-neuron population in LGBDN detected in this study is consistent with the earlier electrophysiological data. We believe that the described algorithm for neuronal analysis may be successfully applied to study not only LGB, but also other extensive structures of the brain, including those having laminar organization.

[猫外侧膝状体y神经元群的分析方法]。
本文提出了一种分析细胞群的方法,该方法结合了神经元的归一化空间坐标的使用及其评估的形态计量标准。这些算法被应用于检查神经元y传导通道在外侧膝状体(LGB)水平上的种群异质性。smi -32抗体作为y神经元的特异性标记物。评价了LGB背核(LGBDN)各层内和中外侧细胞数量分布和胞体方向的动态变化。在smi -32阳性神经元中,至少存在两个群体,在flgbdn不同层的胞体数量、取向和分布上存在差异。本研究发现LGBDN中y神经元群的异质性与早期电生理数据一致。我们相信,所描述的神经元分析算法不仅可以成功地应用于LGB的研究,还可以应用于大脑的其他广泛结构,包括具有层流组织的结构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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