Fig. 3: Behavioral features of WT, PD, and LID mice. | npj Parkinson's Disease

Fig. 3: Behavioral features of WT, PD, and LID mice.

From: A spatiotemporal hypergraph self-attention neural networks framework for the identification and pharmacological efficacy assessment of Parkinson’s disease motor symptoms

Fig. 3

A Motion skeletons of five behavioral features in LID mice. B Motion skeletons of two behavioral features in PD mice. C Five kinematic parameters (speed back, body length, body height, body angle, body angular velocity). Left, example WT movement parameters (blue) within 40 min; Right, PMF curves (yellow). 1–16 represent skeletal points of the mouse. D PMF curves of five kinematic parameters (I, speed back; II, body length; III, body height; IV, body angle; V, body angular velocity) for WT, PD, and LID. Bold traces and shaded areas represent mean ± SEM. (****p < 0.0001, ***p < 0.001, **p < 0.01, *p < 0.05, Kolmogorov–Smirnov test, Bonferroni correction). E Classification results of WT, PD, and LID using SVM in the PC1 and PC2 plane. The background color indicates the model’s classification confidence (Maximum posterior), with darker colors representing higher confidence. Solid contour lines show the probability gradients of different regions. F Projection values calculated by projecting the points in (E) onto the decision boundaries (I, LID vs. PD, p < 0.0001; II, LID vs. WT, p < 0.0001; III, PD vs. WT, p = 0.0002; Mann–Whitney test).

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