Abstract
Characterization of open-field behavior and locomotor activity is widely used to assess the influence of a drug on animal behavior. In this study, we developed an index to characterize the behavior of drug-administered mice (C57BL/6). A three-exponential-model exhibited the best fit to the log-log plots of moving duration vs. frequency data of the different probability density functions. Therefore, as a heuristic argument, we divided each walking event into three categories according to the duration of movement. Then, we examined the number of walking events, and travel distances in each walking categories. Significant differences were observed more often when walking events were divided into the three categories. Therefore, this process would be useful to detect the effect of drugs on locomotor activity in mice.
Highlights
Open-field and locomotor behaviors are commonly used to assess the influence of drugs on animal behavior [1]
Photobeam interruptions or video tracking is used to measure the cumulative and general features of behavior, such as the distance covered by a mouse during an experimental session [2] or the ratio of the duration for which a mouse stays in the periphery of the setup arena to the duration for which it stays at the center [3,4]
The Akaikes information criterion (AIC) values for the different statistical models are shown in Figure 2 and Table 1
Summary
Open-field and locomotor behaviors are commonly used to assess the influence of drugs on animal behavior [1]. The cumulative and general behaviors observed using these methods are believed to reflect the general view that open-field behavior is largely stochastic in nature and can be quantified by some measure of effects of drug [3]. Owing to the rapid advances in the development of software for visualization and analysis of open-field data measured automatically by video tracking, it is possible to obtain large amounts of data for analysis [5]. This allows for an open-ended approach in which new behavioral measures may be defined for specific effects on behavior [6,7,8]. Measures of locomotor activity derived from the scaling approach have been developed by Paulus et al [9,10,11]
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