RT Journal Article
T1 MouBeAT: A New and Open Toolbox for Guided Analysis of Behavioral Tests in Mice
A1 Bello Arroyo, Elisabet
A1 Lara Pezzi, Enrique
A1 Roque, Helio
A1 Caiolfa, Valeria R
A1 Marcos, Alberto
A1 Orihuel, Javier
A1 Desco Menéndez, Manuel
A1 Matas Higuera, Alejandro
A1 Gómez Gaviro, María Victoria
AB Animal behavioral tests are essential to understand the bases of neurologic and psychological disorders, which can be evaluated by different methodological and experimental models. However, the quantification of behavioral tests results is limited by the considerable amount of time needed for manual evaluation and the high costs of automated analysis software. To overcome these limitations, we describe here a new, open source toolbox for ImageJ, called Mouse Behavioral Analysis Toolbox (MouBeAT), designed to analyze different behavioral tests in rodents semi-automatically. These tests include Open Field (OF), Elevated Plus Maze (EPM), Y-maze (YM) test and Morris Water Maze (MWM). MouBeAT showed a high correlation with manual evaluation in all the parameters analyzed for all the behavioral tests, reinforcing its value as an accurate analysis tool. This new tool is freely available online.
PB Frontiers Media SA.
SN 1662-5153
YR 2018
FD 2018-09-07
LK https://hdl.handle.net/10016/38940
UL https://hdl.handle.net/10016/38940
LA eng
NO This study was funded by a grant from the Spanish Ministerio de Ciencia, Innovación y Universidades to EL-P (SAF2015-65722-R), and grants from the Instituto de Salud Carlos III (RIC, RD12/0042/0057) and the Autonomous Region of Madrid (BRADE S2013/ICE-2958) to MD, as well as by Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM). This work was also supported by the Plan Estatal de I+D+I 2013–2016—European Regional Development Fund (FEDER) “A way of making Europe,” Spain. The Centro Nacional de Investigaciones Cardiovasculares (CNIC) is supported by the Spanish Ministerio de Ciencia, Innovación y Universidades and by the Pro-CNIC Foundation and is a Severo Ochoa Centre of Excellence (MINECO award SEV-2015-0505).
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RD 17 jul. 2024