Parkison Steven A, Carlson Jay D, Chaudoin Tammy R, Hoke Traci A, Schenk A Katrin, Goulding Evan H, Pérez Lance C, Bonasera Stephen J
Department of Electrical Engineering, University of Nebraska-Lincoln, Lincoln, NE 68521, USA.
Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:2392-5. doi: 10.1109/EMBC.2012.6346445.
Inexpensive, high-throughput, low maintenance systems for precise temporal and spatial measurement of mouse home cage behavior (including movement, feeding, and drinking) are required to evaluate products from large scale pharmaceutical design and genetic lesion programs. These measurements are also required to interpret results from more focused behavioral assays. We describe the design and validation of a highly-scalable, reliable mouse home cage behavioral monitoring system modeled on a previously described, one-of-a-kind system. Mouse position was determined by solving static equilibrium equations describing the force and torques acting on the system strain gauges; feeding events were detected by a photobeam across the food hopper, and drinking events were detected by a capacitive lick sensor. Validation studies show excellent agreement between mouse position and drinking events measured by the system compared with video-based observation--a gold standard in neuroscience.
为了评估大规模药物设计和基因损伤项目中的产品,需要低成本、高通量、低维护的系统来精确测量小鼠笼内行为(包括运动、进食和饮水)的时间和空间特征。这些测量对于解释更具针对性的行为分析结果也是必要的。我们描述了一种高度可扩展、可靠的小鼠笼内行为监测系统的设计与验证,该系统是基于先前描述的一种独一无二的系统建模的。通过求解描述作用于系统应变片的力和扭矩的静态平衡方程来确定小鼠位置;通过横跨食物漏斗的光束检测进食事件,通过电容式舔舐传感器检测饮水事件。验证研究表明,与神经科学中的金标准——基于视频的观察相比,该系统测量的小鼠位置和饮水事件之间具有极好的一致性。