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. Author manuscript; available in PMC: 2018 Feb 20.
Published in final edited form as: Neuroscience. 2016 Dec 9;343:240–249. doi: 10.1016/j.neuroscience.2016.11.046

Figure 3. Automated tracking of axial LIDs.

Figure 3

A) With levodopa administration for two weeks, LIDs increased over time by AIM scoring in 6-OHDA-lesioned animals (5 animals) but not sham-lesioned animals (4 mice). B) Example traces from one mouse 1 s before and after a single hand-coded axial LID on all three axes (X: blue, Y: green, Z: black). C) Average displacement observed around the computer-identified axial LIDs in all three axes (X: blue, Y: green, Z: black) compared to shuffled events (noise, in gray; based on randomly selected timestamps). D) Around computer-identified events, there were large changes in velocity, acceleration, and angular velocity when compared to shuffled data (gray). E) Average velocity increased as LIDs developed, while acceleration and angular velocity did not. F) Computer-identified dyskinetic events increased as LIDs developed. G) Computer-detected LIDs and AIM scores were significantly correlated. These data indicate that automated motion tracking can capture axial dyskinesias. Data from five 6-OHDA-lesioned and four sham-lesioned mice. Error bars are mean ± SEM. (*) p<0.05.