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. 2018 Feb 12;9:69. doi: 10.3389/fneur.2018.00069

Figure 3.

Figure 3

Methods for visually enhanced VOR gain calculation. (A,B) area under the curve; (C,D) eye versus head scatter plot. In the area under curve method, the data are split into rightward (positive) and leftward (negative) data (A) and then the area under the curve describing the eye movement was divided by the area under the curve describing the head movement for both rightward and leftward plots, providing the positive area under curve positive value (GAUCp) and negative area under curve value (GAUCn) as output (B). In the second method, positive (rightward) and negative (leftward) head movement were plotted versus eye movement (C). In the next step (D), the data from the plots for positive and negative movement were analyzed with by linear regression; the slope of the regression line for rightward and leftward head movements was used to calculate the values of positive (GSPp) and negative (GSPn) gains, respectively. Eye velocity plots were inverted to visually match the head velocity plots.