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JYMS : Journal of Yeungnam Medical Science

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Yoo Rha Hong 1 Article
Reliability and validity of free software for the analysis of locomotor activity in mice
Yoo Rha Hong, Eunsoo Moon
Yeungnam Univ J Med. 2018;35(1):63-69.   Published online June 30, 2018
DOI: https://doi.org/10.12701/yujm.2018.35.1.63
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AbstractAbstract PDF
Background
Kinovea software that tracking semi-automatically the motion in video screen has been used to study motion-related tasks in several studies. However, the validation of this software in open field test to assess locomotor activity have not been studied yet. Therefore, this study aimed to examine the reliability and validity of this software in analyzing locomotor activities.
Methods
Thirty male Institute Cancer Research mice were subjected in this study. The results examined by this software and the classical method were compared. Test-retest reliability and inter-rater reliability were analyzed with Pearson's correlation coefficient and intraclass correlation coefficient (ICC). The validity of this software was analyzed with Pearson's correlation coefficient.
Results
This software showed good test-retest reliability (ICC=0.997, 95% confidence interval [CI]=0.975-0.994, p<0.001). This software also showed good inter-rater reliability (ICC=0.987, 95% CI=0.973-0.994, p<0.001). Furthermore, in three analyses for the validity of this software, there were significant correlations between two methods (Pearson's correlation coefficient=0.928-0.972, p<0.001). In addition, this software showed good reliability and validity in the analysis locomotor activity according to time interval.
Conclusion
This study showed that this software in analyzing drug-induced locomotor activity has good reliability and validity. This software can be effectively used in animal study using the analysis of locomotor activity.

Citations

Citations to this article as recorded by  
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    Daniele Giannetti, Enrico Schifani, Roberto Reggiani, Emanuele Mazzoni, Maria Cristina Reguzzi, Cristina Castracani, Fiorenza A. Spotti, Beatrice Giardina, Alessandra Mori, Donato A. Grasso
    Insects.2022; 13(2): 127.     CrossRef

JYMS : Journal of Yeungnam Medical Science