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Video-based data acquisition system for use in eye blink classical conditioning procedures in sheep

机译:用于绵羊眨眼经典调节程序的基于视频的数据采集系统

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摘要

Pavlovian eye blink conditioning (EBC) has been extensively studied in humans and laboratory animals, providing one of the best-understood models of learning in neuroscience. EBC has been especially useful in translational studies of cerebellar and hippocampal function. We recently reported a novel extension of EBC procedures for use in sheep, and now describe new advances in a digital video-based system. The system delivers paired presentations of conditioned stimuli (CSs; a tone) and unconditioned stimuli (USs; an air puff to the eye), or CS-alone “unpaired” trials. This system tracks the linear distance between the eyelids to identify blinks occurring as either unconditioned (URs) or conditioned (CRs) responses, to a resolution of 5 ms. A separate software application (Eye Blink Reviewer) is used to review and autoscore the trial CRs and URs, on the basis of a set of predetermined rules, permitting an operator to confirm (or rescore, if needed) the autoscore results, thereby providing quality control for accuracy of scoring. Learning curves may then be quantified in terms of the frequencies of CRs over sessions, both on trials with paired CS–US presentations and on CS-alone trials. The latency to CR onset, latency to CR peak, and occurrence of URs are also obtained. As we demonstrated in two example cases, this video-based system provides efficient automated means to conduct EBC in sheep and can facilitate fully powered studies with multigroup designs that involve paired and unpaired training. This can help extend new studies in sheep, a species well suited for translational studies of neurodevelopmental disorders resulting from gestational exposure to drugs, toxins, or intrauterine distress.
机译:巴甫洛夫眨眼调节(EBC)已在人类和实验动物中进行了广泛研究,提供了神经科学中最易理解的学习模型之一。 EBC在小脑和海马功能的转化研究中特别有用。我们最近报告了一种用于绵羊的EBC程序的新颖扩展,现在描述了基于数字视频的系统中的新进展。该系统提供条件刺激(CSs;音调)和非条件刺激(USs;眼睛吹气)的配对演示,或单独进行CS的“非配对”试验。该系统跟踪眼睑之间的线性距离,以识别由于无条件(URs)或有条件(CRs)响应而发生的眨眼,分辨率为5 ms。根据一组预定规则,使用单独的软件应用程序(Eye Blink Reviewer)来审核试算CR和UR,并对其进行自动评分,从而使操作员可以确认(或在需要时重新评分)自动评分结果,从而提供高质量的评分控制评分的准确性。然后,可以在具有成对CS-US演示文稿的试验和仅CS的试验中,根据会话期间CR的频率来量化学习曲线。还获得了CR发作的潜伏期,CR峰的潜伏期和UR的发生。正如我们在两个示例案例中所演示的那样,该基于视频的系统提供了有效的自动化手段来对绵羊进行EBC,并且可以通过涉及成对和不成对训练的多组设计来促进功能强大的研究。这可以帮助扩展对绵羊的新研究,该绵羊非常适合因妊娠暴露于药物,毒素或宫内窘迫而引起的神经发育障碍的转化研究。

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