Àá½Ã¸¸ ±â´Ù·Á ÁÖ¼¼¿ä. ·ÎµùÁßÀÔ´Ï´Ù.
KMID : 0892920140230030215
Experimental Neurobiology
2014 Volume.23 No. 3 p.215 ~ p.223
Implementation of a Two-dimensional Behavior Matrix to Distinguish Individuals with Differential Depression States in a Rodent Model of Depression
Park Jin-Young

Kim Tae-Kyung
Choi Ju-Li
Lee Jung-Eun
Kim Han-Nah
Lee Eun-Hwa
Han Pyung-Lim
Abstract
Animal models of depression are used to study pathophysiology of depression and to advance therapeutic strategies. Stress-induced depression models in rodents are widely used. However, amenable behavioral criteria and experimental procedures that are suitable for animal models have not been established. Given that depression is clinically diagnosed by multiple symptomatic criteria and stress effects are imposed to the brain non-specifically in stress-induced depression models, analyses of depression states in rodents using multiple symptomatic criteria may provide more power than any methods relying on a single symptomatic criterion. To address this, C57BL/6 inbred mice were restrained for 2 h daily for 14 d, and depression states of individual mice were assessed using the U-field test, behavioral assessment developed to measure animal's sociability, and the tail suspension test and/or forced swim test, which are the typical methods that measure psychomotor withdrawal states. Although the majority of these mice showed severe depressive behaviors in both tests, a significant proportion of them, which were all inbred mice and received the same amount of restraints, expressed differential depression states in the sociability test and psychomotor withdrawal tests. To easily read-out differential depression states of individuals in two different tests, a standard method and basic parameters required to construct two-way behavior matrix were introduced. The utility and features of this two-way behavior analysis method for studies of different depressive states of individuals were discussed.
KEYWORD
depression, sociability, psychomotor retardation, U-field test
FullTexts / Linksout information
Listed journal information
SCI(E) ÇмúÁøÈïÀç´Ü(KCI) KoreaMed