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. 2022 Aug 23;11:e74314. doi: 10.7554/eLife.74314

Figure 6. Use Case 6: Automated analysis of an effort-based decision-making T-maze task.

Figure 6.

(A) Screen shots showing DLC tracking in a one-barrier (top) and two-barrier (bottom) T-maze and ROIs used for analysis in BehaviorDEPOT. (B) Sample mouse trajectories in a one-barrier (top) and two-barrier (bottom) T-maze. Lines represent individual trials for one mouse. Orange lines represent right choices, green lines represent left choices, and thick lines indicate vicarious trial and error (VTE). (C) Illustration of automated trial definitions. (D) Automated choice detection using BehaviorDEPOT. BehaviorDEPOT indicated choice with 100% accuracy (FRater(1,6)=6.84, P>0.99, FBarriers(1,7)=4.02, P=0.09; FSubject(6,7)=0.42, P=0.84, two-way ANOVA with Sidak post-hoc comparisons, 84 trials, N=4 mice). (E) Top: Polar plots show representative head angle trajectories when the mouse was in the choice zone during a trial without VTE (left) and with VTE (right). Bottom: Histogram of head turns per trial for trials without VTE (blue) and with VTE (orange). Red dotted line indicates selected threshold. (F) Fraction of trials with VTE during one-barrier and two-barrier sessions, comparing manual annotations to BehaviorDEPOT classification (FRaterxBarriers(1,6)=0.04, P=0.85, FRater(1,7)=0.03, P=0.85; FBarriers(1,6)=22.9, P=0.003, two-way ANOVA with Sidak post-hoc comparisons, 102 trials, N=4 mice). Error bars represent S.E.M.