کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6269680 1295153 2011 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Automatic system for analysis of locomotor activity in rodents-A reproducibility study
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی علوم اعصاب (عمومی)
پیش نمایش صفحه اول مقاله
Automatic system for analysis of locomotor activity in rodents-A reproducibility study
چکیده انگلیسی

Automatic analysis of locomotion in studies of behavior and development is of great importance because it eliminates the subjective influence of evaluators on the study. This study aimed to develop and test the reproducibility of a system for automated analysis of locomotor activity in rats. For this study, 15 male Wistar were evaluated at P8, P14, P17, P21, P30 and P60. A monitoring system was developed that consisted of an open field of 1 m in diameter with a black surface, an infrared digital camera and a video capture card. The animals were filmed for 2 min as they moved freely in the field. The images were sent to a computer connected to the camera. Afterwards, the videos were analyzed using software developed using MATLAB® (mathematical software). The software was able to recognize the pixels constituting the image and extract the following parameters: distance traveled, average speed, average potency, time immobile, number of stops, time spent in different areas of the field and time immobile/number of stops. All data were exported for further analysis. The system was able to effectively extract the desired parameters. Thus, it was possible to observe developmental changes in the patterns of movement of the animals. We also discuss similarities and differences between this system and previously described systems.

Research highlights▶ Study of locomotor activity is important. ▶ Automated analysis systems allow more investigators to measure some animal behaviors. ▶ A new devise for analyzing locomotor activity. ▶ This system was able to extract information and showed reproducibility.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Neuroscience Methods - Volume 195, Issue 2, 15 February 2011, Pages 216-221
نویسندگان
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