Chinese Journal of Tissue Engineering Research ›› 2012, Vol. 16 ›› Issue (28): 5170-5174.doi: 10.3969/j.issn. 2095-4344.2012.28. 009

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Aggregate analysis of open field data in depression model rats

Su Yun-xiang1, 2, Wei Sheng1, 2, Tan Qian2, Liu Xin2, Du Xi-yang1, 2   

  1. 1Brain Behavior Laboratory, Shandong University of Traditional Chinese Medicine, Jinan 250355, Shandong Province, China
    2Key Laboratory of Classical Theory for Traditional Chinese Medicine, Ministry of Education, Shandong University of Traditional Chinese Medicine, Jinan 250355, Shandong Province, China
  • Received:2011-11-03 Revised:2011-11-24 Online:2012-07-08 Published:2012-07-08
  • Contact: Wei Sheng, Lecturer, Brain Behavior Laboratory, Shandong University of Traditional Chinese Medicine, Jinan 250355, Shandong Province, China; Key Laboratory of Classical Theory for Traditional Chinese Medicine, Ministry of Education, Shandong University of Traditional Chinese Medicine, Jinan 250355, Shandong Province, China
  • About author:Su Yun-xiang★, Studying for master’s degree, Brain Behavior Laboratory, Shandong University of Traditional Chinese Medicine, Jinan 250355, Shandong Province, China; Key Laboratory of Classical Theory for Traditional Chinese Medicine, Ministry of Education, Shandong University of Traditional Chinese Medicine, Jinan 250355, Shandong Province, China suyunxiangben@hotmail.com

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Abstract:

BACKGROUND: Repeated measurements of open field data and proper data aggregation based on additivity can significantly improve the stability and consistency of the open field test in normal rats. Is this method applicable to model rats?
OBJECTIVE: To explore the best aggregate measurement of ambulation score in the open-field test of the depression model rats.
METHODS: Depression models in rats were constructed using chronic mild stimulation method. The open-field behavior indicators were collected every two weeks during the model construction course of 4 weeks. Pairwise aggregation analysis (continuous aggregation, interval aggregation, judgmental aggregation) was used. Effects of different aggregation methods on reliability and correlation of model preparation were compared.
RESULTS AND CONCLUSION: Consistency coefficient Kappa showed that good reliability and correlation were obtained using interval aggregation and judgmental aggregation (Kappa=0.611, P < 0.05). The reliability gained using continuous aggregation was passable (Kappa=0.222). Intraclass correlation coefficient ICC showed that an excellent reliability was gained using judgmental aggregation (ICC=0.835, P < 0.01); the reliability gained using interval aggregation was good (ICC=0.792, P < 0.05)，and the reliability gained using continuous aggregation was poor (ICC=0.196). It indicates that a proper judgment aggregation can significantly improve the reliability and correlation of the open-field data in depression model rats.

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