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利用肌肉分区测量来量化不同类别运动神经元神经末梢空间分布的简单方法。

Simple methods for quantifying the spatial distribution of different categories of motoneuronal nerve endings, using measurements of muscle regionalization.

作者信息

Kernell D, Wang L C

机构信息

Department of Medical Physiology, University of Groningen, Postbus 196, 9700 AD, Groningen, The Netherlands.

出版信息

J Neurosci Methods. 2000 Jul 31;100(1-2):79-83. doi: 10.1016/s0165-0270(00)00236-3.

Abstract

For skeletal muscles, a well-known match exists between the properties of motoneurones and those of their muscle fibres. Hence, the intramuscular distribution of different kinds of motoneuronal nerve endings (e.g. 'slow' versus 'fast') can be mapped by determining the distribution of the corresponding types of muscle fibre. As a background for further studies of motoneuronal plasticity, we needed precise measures of such distributions. Simple quantitative methods were developed for defining the position and extent of sub-populations of cells within a structure (e.g. the regional distribution of slow versus fast muscle fibres within a muscle cross-section): (a) The 'mass vector method' defined the relative position of the target cell cloud. A line was drawn between the calculated centre of mass for the target cells and that for the whole structure. The direction (a1) and length (a2) of this line gave a measure of the direction and degree of target cell eccentricity within the structure. (b) The 'sector method' delineated the region containing the target fibres. A circle around the centre of mass for the target fibres was subdivided into a number of equal sectors (standard setting: 20). The most remote point was found within each sector and a line joining these points defined the region of the target fibres. When applied to the 'slow' type I fibres of cross-sections from rat hindlimb muscles, the regional area estimates obtained by the sector method were highly correlated with, but approximately 10% lower than those achieved by the well-established 'convex hull' method. Highly significant inter-muscular differences were observed for each one of the three new parameters described in this paper (a1, a2, b).

摘要

对于骨骼肌而言,运动神经元的特性与其肌纤维的特性之间存在一种广为人知的匹配关系。因此,通过确定相应类型肌纤维的分布,就可以描绘出不同种类运动神经元神经末梢(例如“慢”型与“快”型)在肌肉内的分布情况。作为进一步研究运动神经元可塑性的背景,我们需要对这种分布进行精确测量。我们开发了简单的定量方法来确定结构内细胞亚群的位置和范围(例如肌肉横截面上慢肌纤维与快肌纤维的区域分布):(a) “质量向量法”确定了目标细胞群的相对位置。在计算得出的目标细胞质心与整个结构的质心之间画一条线。这条线的方向(α1)和长度(α2)给出了目标细胞在结构内偏心的方向和程度的度量。(b) “扇形法”划定了包含目标纤维的区域。以目标纤维的质心为圆心画一个圆,将其细分为若干个相等的扇形(标准设置:20个)。在每个扇形内找到最远点,连接这些点的线就确定了目标纤维的区域。当将扇形法应用于大鼠后肢肌肉横截面的“慢”I型纤维时,通过该方法获得的区域面积估计值与成熟的“凸包”法高度相关,但比后者低约10%。对于本文描述的三个新参数(α1、α2、b)中的每一个,都观察到了非常显著的肌肉间差异。

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