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Analixity: An open source, low-cost analysis system for the elevated plus maze test, based on computer vision techniques

Authors :
Fernando Montes-Gonzalez
Maria-Leonor Lopez-Meraz
Luis Beltran-Parrazal
Teresa Cadena-Mejía
Monserrat Macías-Carballo
Miguel Angel Landa-Jimenez
Consuelo Morgado-Valle
Patricia González-Gaspar
Source :
Behavioural Processes. 193:104539
Publication Year :
2021
Publisher :
Elsevier BV, 2021.

Abstract

Manual analysis of behavioral tests in rodents involves inspection of video recordings by a researcher that assesses rodent movements to quantify parameters related with a behavior of interest. The assessment of the researcher during the quantification of such parameters can introduce variability among experimental conditions or among sessions of analysis. Here, we introduce Analixity, a video processing software for the elevated plus maze test (EPM), in which quantification of behavioral parameters is automatic, reducing the time spent in analysis and solving the variability problem. Analixity is an adaptable multiplatform open-source system. Analixity generates an Excel file with the quantified behavioral variables, such as time spent in open and closed arms and in the center zone, number of entries to each zone and total distance traveled during the test. For validation, we compared results obtained by Analixity with results obtained by manual analysis. We did not find statistically significant differences. In addition, we compared the results obtained by Analixity with results obtained by the commercial software ANY-maze. We did not find statistically significant differences in the quantification of parameters such as time spent in open arms, time spent in closed arms, time spent in center zone, number of closed arms, open arms entries, and anxiety index. We concluded that Analixity is an open-source software as reliable and effective as a commercial software.

Details

ISSN :
03766357
Volume :
193
Database :
OpenAIRE
Journal :
Behavioural Processes
Accession number :
edsair.doi.dedup.....b5825c2df2250670a194aa319a0fd157
Full Text :
https://doi.org/10.1016/j.beproc.2021.104539