DIFFERENTIAL ACTIVATION AND CLASSIFICATION OF CUTANEOUS AFFERENTS IN THE RAT
DIFFERENTIAL ACTIVATION AND CLASSIFICATION OF CUTANEOUS AFFERENTS IN THE RAT
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DOI：
10.1152/jn.1993.70.6.2411
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发表时间：
1993-12-01
影响因子：
2.5
通讯作者：
CHUNG, JM
中科院分区：
文献类型：
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作者：
LEEM, JW;WILLIS, WD;CHUNG, JM
1.本研究共包括3 12个大鼠足部皮肤传入单位，它们属于九种主要感觉神经感受器之一。自然刺激集被定义为根据其产生的不同反应模式在这些受体类型中进行最佳区分。它包括空气喷雾，30和300赫兹的正弦波，200毫安的压力压入皮肤，1.2和6 N的皮肤褶皱压缩，皮肤降温5和20摄氏度，升温5摄氏度，和15摄氏度的加热。对188个单位的预定义刺激的反应进行多变量统计分析。每个单位的反应以10个刺激(每个持续10个S)诱发的冲动数来测量。此外，还统计了5个S在退出200mN压痕(10个刺激中的第I个)后发生的冲动数。在判别分析中，11个刺激变量较准确地预测了传入单位的9个预定受体类别(188个中175个，93.1%)，显示出较强的区分不同受体类型的能力。利用层次聚类分析，将11个变量描述的传入单位数据划分为能够很好地代表先前受体类别的聚类(188个中有170个，占90.4%)，这表明该方法可以可靠地应用于新记录的皮肤感觉器的分类。然后根据因子分析的结果将11个变量减少到7个(95%的方差可以解释)。这七个变量对应于1.2-N压缩、15摄氏度的皮肤加热、20摄氏度的皮肤降温、30和300赫兹的正弦波、200毫安的压痕和空气膨胀。所选择的7个变量在判别解中正确地将传入单位分配到5个基于通道的类别(188个变量中177个，94.1%)。在集群解决方案中，由7个选定变量描述的传入单位被划分为集群，其中大多数成员是特定于通道的(188个中的76个，93.6%)。结果表明，皮肤感受器可以根据它们对七个刺激变量的反应的相似性而被分成不同的形态组。本文提出的刺激集和多元统计方法可以作为中枢体感神经元功能分类的有力工具。
1. A total of 3 12 cutaneous afferent units identified in the rat foot as belonging to one of nine major types of sensory receptors were included in the present study. A natural stimulus set was defined to differentiate optimally among those receptor types according to the distinguishing response patterns that it produced. It included air puffs, 30- and 300-Hz sinusoids, 200-mN force indentation of the skin, 1.2- and 6-N compressions of a skin fold, cooling the skin by 5 and 20-degrees-C, warming by 5-degrees-C, and heating by 15-degrees-C.2. The responses to predefined stimuli of 188 units were subjected to multivariate statistical analyses. The responses of an individual unit were measured as the number of impulses evoked by 10 stimuli, each lasting 10 s. Additionally, the number of impulses occurring for 5 s after withdrawal of a 200-mN indentation (I of the 10 stimuli) was counted.3. In discriminant analysis, the 11 stimulus variables predicted fairly correctly the grouping of afferent units into nine predetermined receptor categories (175 of 188, 93.1%), indicating a powerful ability to discriminate among different receptor types. Using hierarchical cluster analysis, afferent unit data described by 11 variables were divided into clusters that well represented prior receptor categories (170 of 188, 90.4%), suggesting the reliable application of this procedure to the classification of newly recorded cutaneous sensory receptors.4. Eleven variables were then reduced to 7 on the basis of the results of factor analysis (95% of variance accounted for). The seven variables corresponded to 1.2-N compression, heating the skin by 15-degrees-C, cooling the skin by 20-degrees-C, 30- and 300-Hz sinusoids, withdrawal of a 200-mN indentation, and air puffs.5. The seven selected variables correctly assigned afferent units into five modality-based categories in the discriminant solution (177 of 188, 94.1%). In the cluster solution, afferent units described by the seven selected variables were divided into clusters, most of whose members were modality specific (I 76 of 18 8, 93.6%).6. The results indicate that cutaneous receptors can be divided into modality-specific groups according to similarities in their responses to seven stimulus variables. It is proposed that the stimulus set developed here and multivariate statistical methods can be used as powerful tools for the functional classification of central somatosensory neurons.