کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4335778 1295180 2009 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Evaluation of two automated metrics for analyzing partner preference tests
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی علوم اعصاب (عمومی)
پیش نمایش صفحه اول مقاله
Evaluation of two automated metrics for analyzing partner preference tests
چکیده انگلیسی
The partner preference test (PPT) is commonly used to examine sexual and social preferences in rodents. The test offers experimental subjects a choice between two stimulus animals, and time spent with each is used to calculate a preference score. In monogamous prairie voles (Microtus ochrogaster), the PPT has been paramount to the study of pair bonding. Although powerful, use of the PPT in voles has depended primarily on human manual scoring. Manual scoring is time-consuming and is susceptible to bias and fatigue, limiting the use of the PPT in high-throughput studies. Here we compared manual scoring (real-time and 16×) and two automated scoring metrics: “social proximity” and “immobile social contact”. We hypothesized that “immobile social contact” would provide data most comparable to manually scored “huddling”, and thus be the most sensitive measure of partner preference in prairie voles. Each automated metric produced data that highly correlated with manual scoring (R > 0.90); however, “immobile social contact” more closely reflected manually scored huddling (R = 0.99; P < 0.001). “Social proximity” and “immobile social contact” were then used to detect group partner preferences in four data sets that varied by cohabitation length and sex. “Immobile social contact” revealed a significant partner preference in each data set; “social proximity” detected partner preferences in only three of the four. Our results demonstrate the utility of automated systems in high-throughput PPTs, and further confirm that automated systems capable of scoring “immobile social contact” yield results indistinguishable from manual scoring.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Neuroscience Methods - Volume 182, Issue 2, 15 September 2009, Pages 180-188
نویسندگان
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