3.9 Article

AUTOMATIC ANALYSIS OF THE MORRIS WATER MAZE BEHAVIORAL TEST DATA

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Publisher

MEZHDUNARODNAYA KNIGA
DOI: 10.31857/S0044467721010044

Keywords

mouse; behavior; Morris water maze; behavioral test; automated analysis; tracking

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The Morris water maze behavioral test is a crucial method for testing cognitive functions in experimental rodents, especially in studying neurodegenerative diseases and potential therapeutic agents. Currently, researchers use automated tracking programs to analyze rodent movements, but the available quality programs are expensive. The development of Minopontikos aims to provide Russian scientists with a more affordable option for conducting research using the Morris water maze.
The Morris water maze behavioral test is a universal method for testing cognitive functions in experimental rodents, and it is especially effective in detecting deviations in memory functions and learning, which makes it indispensable in the study of neurodegenerative diseases and testing potential therapeutic agents aimed at improving cognitive function. However, despite the wide range of possible applications, data analysis makes the use of this test quite labor intensive. Currently, automated tracking and analysis programs are used to analyze rodent movements. But all known quality programs are the property of foreign commercial companies and expensive. Thus, our goal was to develop and create an available quality product, which will allow Russian scientist to carry out research using various options of the Morris water maze. In this article, we describe in detail creation of new software that we called Minopontikos. We also compared performance of Minopontikos with two widely used commercial packages: VideoMot and EthoVision. We established that Minopontikos was able to quickly and accurately detect the trajectory of animal moving in the water and to provide parameters for evaluating the cognitive functions of memory and learning. Overall performance of Minopontikos was comparable to commercial packages.

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