| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6268496 | Journal of Neuroscience Methods | 2014 | 8 Pages |
â¢A new hardware/software system was developed to monitor rodent behaviors.â¢Touch screen technology is able to record all movements with high sensitivity.â¢Amphetamine caused increased locomotor activity and velocity of stepping activity.â¢The device can be used for light-dark box tests as a measure of anxiety.â¢This novel device can accurately and rapidly characterize mouse behaviors.
BackgroundMonitoring mouse behavior is a critical step in the development of modern pharmacotherapies.New methodHere we describe the application of a novel method that utilizes a touch display computer (tablet) and software to detect, record, and report fine motor behaviors. A consumer-grade tablet device is placed in the bottom of a specially made acrylic cage allowing the animal to walk on the device (MouseTrapp). We describe its application in open field (for general locomotor studies) which measures step lengths and velocity. The device can perform light-dark (anxiety) tests by illuminating half of the screen and keeping the other half darkened. A divider is built into the lid of the device allowing the animal free access to either side.ResultsTreating mice with amphetamine and the delta opioid peptide receptor agonist SNC80 stimulated locomotor activity on the device. Amphetamine increased step velocity but not step length during its peak effect (40-70Â min after treatment), thus indicating detection of subtle amphetamine-induced effects. Animals showed a preference (74% of time spent) for the darkened half compared to the illuminated side.Comparison with existing methodAnimals were videotaped within the chamber to compare quadrant crosses to detect motion on the device. The slope, duration and magnitude of quadrant crosses tightly correlated with overall locomotor activity as detected by MouseTrapp.ConclusionsWe suggest that modern touch display devices such as MouseTrapp will be an important step toward automation of behavioral analyses for characterizing phenotypes and drug effects.
