A robotic platform to assess, guide and perturb rat forelimb movements
| Autor: | Clement Osei-Atiemo, Maximilian Schubring-Giese, Jonas A. Hosp, Melanie Schneider, Bogdan Vigaru, Roger Gassert, Olivier Lambercy, Andreas R. Luft |
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| Přispěvatelé: | University of Zurich, Vigaru, Bogdan C |
| Jazyk: | angličtina |
| Rok vydání: | 2013 |
| Předmět: |
Male
Engineering Movement Biomedical Engineering 2204 Biomedical Engineering 610 Medicine & health Kinematics Workspace Environment Rendering (computer graphics) Forelimb Internal Medicine medicine Animals Learning Rats Long-Evans Simulation Haptic technology business.industry General Neuroscience Rehabilitation GRASP 2800 General Neuroscience Equipment Design Robotics Biomechanical Phenomena Rats 10040 Clinic for Neurology medicine.anatomical_structure Motor Skills 2724 Internal Medicine Data Interpretation Statistical Robot Electronics business Motor learning Algorithms |
| Popis: | Animal models are widely used to explore the mechanisms underlying sensorimotor control and learning. However, current experimental paradigms allow only limited control over task difficulty and cannot provide detailed information on forelimb kinematics and dynamics. Here we propose a novel robotic device for use in motor learning investigations with rats. The compact, highly transparent, three degree-of-freedom manipulandum is capable of rendering nominal forces of 2 N to guide or perturb rat forelimb movements, while providing objective and quantitative assessments of endpoint motor performance in a 50×30 mm(2) planar workspace. Preliminary experiments with six healthy rats show that the animals can be familiarized with the experimental setup and are able to grasp and manipulate the end-effector of the robot. Further, dynamic perturbations and guiding force fields (i.e., haptic tunnels) rendered by the device had significant influence on rat motor behavior (ANOVA, ). This approach opens up new research avenues for future characterizations of motor learning stages, both in healthy and in stroke models. |
| Databáze: | OpenAIRE |
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