The elevated plus maze is a valuable tool for studying anxiety-related behaviors, as well as for testing the effects of pharmacological treatments or genetic manipulations on anxiety in animal models.
Duration spent by the animal exploring the open arms of the maze.
Duration spent by the animal exploring the closed arms of the maze.
Duration spent by the animal in the center zone of the maze.
Duration spent by the animal exploring the open arms of the maze.
Frequency of entries made by the animal into the closed arms of the maze.
Frequency of entries made by the animal into the open arms of the maze.
Overall distance covered by the animal during the test session.
Scoring entries into the center zone of the plus-maze can indeed spark debate among researchers. However, researchers can enjoy unparalleled flexibility in defining scoring methods to precisely suit their unique research needs. This flexibility empowers researchers to customize when the system recognizes the animal in the center zone, facilitating a more adaptable and nuanced analysis of experimental data.
Time spent in open or closed arms during the plus-maze test varies by research preferences. Enjoy unmatched flexibility in defining this measure. Customize the calculation method to align with your research goals, with results promptly adjusted. This dynamic approach ensures seamless adaptability to evolving research needs.
Adjust zone definitions or parameters at any stage of your experiment. For instance, if you want to report time spent at the ends of open arms, not initially included, integrate it post hoc for comprehensive analysis. This flexibility ensures no valuable data is overlooked, maximizing insights and enriching research outcomes.
Explore versatile track visualization options with a choice between a line or heat map display.
Heat maps provide valuable insights, illustrating time distribution across the apparatus for individual tests or groups, facilitating comprehensive analysis.
With cutting-edge whole-body tracking, define precise criteria for scoring arm entries. For example, set parameters like identifying an open-arm entry when 80% of the animal occupies the arm. This aligns with the traditional four-paws-in-the-arm rule, ensuring accurate data collection for research.
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