Penev P D, Zee P C, Turek F W
Department of Neurobiology and Physiology, Northwestern University, Evanston, Illinois 60208, USA.
Am J Physiol. 1997 Dec;273(6):R2132-7. doi: 10.1152/ajpregu.1997.273.6.R2132.
The continuous monitoring of spontaneous locomotor activity has emerged as one of the most widely used metrics in rodent circadian research. This behavioral measure is also extremely useful for the description of the effects of aging on circadian rhythms. The present study describes the successful use of a log-survivorship approach to identify discrete bouts of hamster wheel-running activity and provides a detailed description of the age-related fragmentation in the 24-h profile of this behavioral variable. In addition, stepwise discriminant analysis identified the most important quantitative measures for distinguishing between the individual patterns of wheel-running activity of young (3 mo) and old (17-18 mo) golden hamsters. The results suggest that this method of bout analysis can be a valuable tool for the study of genetic, developmental, neurochemical, physiological, and environmental factors involved in the temporal control of rodent locomotor behavior.
对自发运动活动的持续监测已成为啮齿动物昼夜节律研究中使用最广泛的指标之一。这种行为测量方法对于描述衰老对昼夜节律的影响也极为有用。本研究描述了成功使用对数生存法来识别仓鼠轮子跑步活动的离散发作,并详细描述了该行为变量在24小时内与年龄相关的碎片化情况。此外,逐步判别分析确定了区分年轻(3个月)和年老(17 - 18个月)金黄仓鼠轮子跑步活动个体模式的最重要定量指标。结果表明,这种发作分析方法可能是研究参与啮齿动物运动行为时间控制的遗传、发育、神经化学、生理和环境因素的有价值工具。