Table 1.

Principal Component Analysis extracted a Rotated Component Matrix with 11 Components for the analysis that included behavioral variables from all three intervals of the recording session. The matrix contains the principal component loadings, which are essentially bivariate correlation coefficients representing correlation between the variable (row) and the component (column). Only major loadings (larger than 0.25) are shown. Note that variables quantified for the pre stimulus (pre), stimulus (stim), and post stimulus (post) intervals are considered separate variables here. Note that some components contain loadings for variables corresponding to particular intervals (e.g. the stimulus and/or post-stimulus intervals) whereas others contain loadings of variables corresponding to a particular behavior measured in all three intervals.

Rotated Component Matrix (Pre stimulus, Stimulus, Post stimulus intervals)

	Component
	1	2	3	4	5	6	7	8	9	10	11
swimming_pre								.896
leap_pre										.790
erratic_pre				.275							.715
thrashing towards_pre										.788
swimming_stim					−.250
leap_stim					.861
erratic_stim									.852
thrashing towards_stim	.722			.307
swimming_post		.404				−.814
leap_post					.873
erratic_post									.863
thrashing towards_post	.347					.550					−.282
bottom_pre			.749
bottom_stim			.875
bottom_post			.861
jumping_pre							.657				.274
jumping_stim							.702
jumping_post							.767
near stimulus_pre	.436			−.310							.563
near stimulus_stim	.903
near stimulus_post	.778
immobility_stim		−.876
immobility_post		−.565		−.251		.585
immobility_pre								−.830
ambulation score_pre				.720
ambulation score_stim		.293		.622
ambulation score_post				.708		−.349