TY - JOUR
T1 - An automated rat single pellet reaching system with high-speed video capture
AU - Ellens, Damien J.
AU - Gaidica, Matt
AU - Toader, Andrew
AU - Peng, Sophia
AU - Shue, Shirley
AU - John, Titus
AU - Bova, Alexandra
AU - Leventhal, Daniel K.
N1 - Publisher Copyright:
© 2016 Elsevier B.V.
PY - 2016/9/15
Y1 - 2016/9/15
N2 - Background Single pellet reaching is an established task for studying fine motor control in which rats reach for, grasp, and eat food pellets in a stereotyped sequence. Most incarnations of this task require constant attention, limiting the number of animals that can be tested and the number of trials per session. Automated versions allow more interventions in more animals, but must be robust and reproducible. New method Our system automatically delivers single reward pellets for rats to grasp with their forepaw. Reaches are detected using real-time computer vision, which triggers video acquisition from multiple angles using mirrors. This allows us to record high-speed (>300 frames per second) video, and trigger interventions (e.g., optogenetics) with high temporal precision. Individual video frames are triggered by digital pulses that can be synchronized with behavior, experimental interventions, or recording devices (e.g., electrophysiology). The system is housed within a soundproof chamber with integrated lighting and ventilation, allowing multiple skilled reaching systems in one room. Results We show that rats acquire the automated task similarly to manual versions, that the task is robust, and can be synchronized with optogenetic interventions. Comparison with existing methods Existing skilled reaching protocols require high levels of investigator involvement, or, if ad libitum, do not allow for integration of high-speed, synchronized data collection. Conclusion This task will facilitate the study of motor learning and control by efficiently recording large numbers of skilled movements. It can be adapted for use with modern neurophysiology, which demands high temporal precision.
AB - Background Single pellet reaching is an established task for studying fine motor control in which rats reach for, grasp, and eat food pellets in a stereotyped sequence. Most incarnations of this task require constant attention, limiting the number of animals that can be tested and the number of trials per session. Automated versions allow more interventions in more animals, but must be robust and reproducible. New method Our system automatically delivers single reward pellets for rats to grasp with their forepaw. Reaches are detected using real-time computer vision, which triggers video acquisition from multiple angles using mirrors. This allows us to record high-speed (>300 frames per second) video, and trigger interventions (e.g., optogenetics) with high temporal precision. Individual video frames are triggered by digital pulses that can be synchronized with behavior, experimental interventions, or recording devices (e.g., electrophysiology). The system is housed within a soundproof chamber with integrated lighting and ventilation, allowing multiple skilled reaching systems in one room. Results We show that rats acquire the automated task similarly to manual versions, that the task is robust, and can be synchronized with optogenetic interventions. Comparison with existing methods Existing skilled reaching protocols require high levels of investigator involvement, or, if ad libitum, do not allow for integration of high-speed, synchronized data collection. Conclusion This task will facilitate the study of motor learning and control by efficiently recording large numbers of skilled movements. It can be adapted for use with modern neurophysiology, which demands high temporal precision.
KW - Automated task
KW - Forelimb
KW - Motor learning
KW - Rat
KW - Single pellet grasping
KW - Skilled reaching
UR - https://www.scopus.com/pages/publications/84979284340
U2 - 10.1016/j.jneumeth.2016.07.009
DO - 10.1016/j.jneumeth.2016.07.009
M3 - Article
C2 - 27450925
AN - SCOPUS:84979284340
SN - 0165-0270
VL - 271
SP - 119
EP - 127
JO - Journal of Neuroscience Methods
JF - Journal of Neuroscience Methods
ER -