Fig. 3
From: Sexual differences in neuronal and synaptic properties across subregions of the mouse insular cortex
Principal component analysis (PCA) of intrinsic properties indicating that subregion is the main factor contributing to the variance in the dataset. This analysis was carried out using membrane capacitance, rheobase, resting membrane potentials, neuronal excitabilities, and the voltage membrane's response to varying injected current steps as quantitative variables. A Plotting the percentage of explained variance by each PC (histogram) reveals that most of the data set’s variance is explained by PC1 (65.90%), followed by PC2 (12.15%) and PC3 (5.33%). Black dots represent the cumulative percentage of explained variance. B, C PCA graphs of individuals were built with PC1 and PC2 which together explained more then 80% of the variance (see A). Small dots represent individuals colored according to their belonging to one the following qualitative supplementary variables: subregion (top), sex (below). Ellipses represent the barycenter of individuals (i.e., mean) for each category. B PCA show that the subregion is the major contributor in the overall variance. C In contrast PCA showed that in both insular cortices male and female largely overlap