Pitts D K, Kelland M D, Shen R Y, Freeman A S, Chiodo L A
Laboratory of Neurophysiology, Center for Cell Biology, Sinai Research Institute, Detroit, Michigan.
Synapse. 1990;5(4):281-93. doi: 10.1002/syn.890050405.
The application of polynomial regression and the analysis of covariance (ANCOVA) to dose-response (DR) data derived from extracellular electrophysiological studies of midbrain dopamine neurons and noradrenergic locus coeruleus neurons in vivo is demonstrated and discussed. Third-order polynomial regression was found to be a better method for estimating ED50 values than probit analysis of linear regression. ANCOVA provides a more powerful statistical method than ANOVA for detecting significant differences in ED50 values or DR curves when a confounding variable such as basal discharge rate is present. The methods of analysis presented herein should be useful in the analysis of other types of neurons in electrophysiological studies.
本文展示并讨论了多项式回归和协方差分析（ANCOVA）在体内中脑多巴胺能神经元和去甲肾上腺素能蓝斑神经元细胞外电生理研究所得剂量-反应（DR）数据中的应用。结果发现，与线性回归的概率分析相比，三阶多项式回归是估计半数有效剂量（ED50）值的更好方法。当存在诸如基础放电率等混杂变量时，与方差分析（ANOVA）相比，ANCOVA为检测ED50值或DR曲线的显著差异提供了更强大的统计方法。本文提出的分析方法应有助于电生理研究中其他类型神经元的分析。
