کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6256984 1612951 2015 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Research reportImproved single pellet grasping using automated ad libitum full-time training robot
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی علوم اعصاب رفتاری
پیش نمایش صفحه اول مقاله
Research reportImproved single pellet grasping using automated ad libitum full-time training robot
چکیده انگلیسی


- The single pellet grasping (SPG) task is used to study skilled forelimb movement.
- The SPG task is time-consuming and can yield results with high variability.
- We describe an automated method for training and testing rats to do the SPG task.
- This approach requires less researcher time for implementation.
- Automation yields higher/less variable success rates compared to manual training.

The single pellet grasping (SPG) task is a skilled forelimb motor task commonly used to evaluate reaching and grasp kinematics and recovery of forelimb function in rodent models of CNS injuries and diseases.To train rats in the SPG task, the animals are usually food restricted then placed in an SPG task enclosure and presented food pellets on a platform located beyond a slit located at the front of the task enclosure for 10-30 min, normally every weekday for several weeks.When the SPG task is applied in studies involving various experimental groups, training quickly becomes labor intensive, and can yield results with significant day-to-day variability. Furthermore, training is frequently done during the animals' light-cycle, which for nocturnal rodents such as mice and rats could affect performance. Here we describe an automated pellet presentation (APP) robotic system to train and test rats in the SPG task that reduces some of the procedural weaknesses of manual training.We found that APP trained rats performed significantly more trials per 24 h period, and had higher success rates with less daily and weekly variability than manually trained rats. Moreover, the results show that success rates are positively correlated with the number of dark-cycle trials, suggesting that dark-cycle training has a positive effect on success rates.These results demonstrate that automated training is an effective method for evaluating and training skilled reaching performance of rats, opening up the possibility for new approaches to investigating the role of motor systems in enabling skilled forelimb use and new approaches to investigating rehabilitation following CNS injury.

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ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Behavioural Brain Research - Volume 281, 15 March 2015, Pages 137-148
نویسندگان
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