Fig. 9: 2D Principal Component Analysis (PCA) of snail behavioral data across different experimental conditions. | Translational Psychiatry

Fig. 9: 2D Principal Component Analysis (PCA) of snail behavioral data across different experimental conditions.

From: First evidence of an anxiety-like behavior and its pharmacological modulation in a molluscan model organism, Lymnaea stagnalis

Fig. 9

The PCA plot presents the behavioral data of snails classified into four groups: Control (not exposed to fish water (FW) and not treated with alprazolam – purple), Predator-exposed snails (green), Predator-exposed snails tested in artificial pond water (PW - blue), and alprazolam-treated snails before being exposed to FW (yellow). The data are plotted along two principal components, PC1 and PC2, which capture the most significant variance in the dataset. Shapes: Circles refer to PW, and Triangles to FW. PC1 and PC2 axes represent the most substantial variance in the behavioral data. Vectors: Black arrows with red labels indicate the influence and direction of specific behavioral metrics on the principal components.

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