利用 DeepLabCut 进行机器学习,定量评估眼眶紧缩的疼痛程度

Q2 Medicine
Saurav Gupta, Akihiro Yamada, Jennifer Ling, Jianguo G. Gu
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引用次数: 0

摘要

动物模型中的疼痛评估对于了解病理疼痛的内在机制和开发有效的止痛药物至关重要。面部表情量表(GS)、眼眶紧缩(OT)等疼痛时的面部表情特征是评估动物模型疼痛的重要指标。然而,用于疼痛评估的经典面无表情量表需要耗费大量人力,存在主观性和不一致性,而且不是一种定量测量方法。在本研究中,我们利用 DeepLabCut 进行机器学习,为动物视频图像中的眼睑上缘和下缘以及眼睛的内眦和外眦进行标注。根据注释,我们量化了动物眼睛的眼睑距离和睑裂宽度,从而可以定量测量和描述疼痛动物的OT程度。我们制定了纳入和排除用于量化 OT 的注释图像的标准,并在口面部或后爪部注射辣椒素引起疼痛的小鼠、用激光刺激口面部引起疼痛的 Nav1.8-ChR2 小鼠和用 von Frey 灯丝进行触觉刺激的奥沙利铂治疗小鼠中验证了我们的定量面无表情量表(qGS)。我们发现,与未受痛觉刺激的对照组动物相比,疼痛组动物的眼睑距离和睑裂宽度都明显缩短。总之,本研究利用 DeepLabCut 建立了小鼠疼痛评估的定量眼眶紧缩度,为小鼠临床前研究中的疼痛评估提供了一种新工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantitative orbital tightening for pain assessment using machine learning with DeepLabCut

Pain assessment in animal models is essential for understanding mechanisms underlying pathological pain and developing effective pain medicine. The grimace scale (GS), facial expression features in pain such as orbital tightening (OT), is a valuable measure for assessing pain in animal models. However, the classical grimace scale for pain assessment is labor-intensive, subject to subjectivity and inconsistency, and is not a quantitative measure. In the present study, we utilized machine learning with DeepLabCut to annotate the superior and inferior eyelid margins and the medial and lateral canthus of the eyes in animals’ video images. Based on the annotation, we quantified the eyelid distance and palpebral fissure width of the animals’ eyes so that the degree of OT in animals with pain could be measured and described quantitatively. We established criteria for the inclusion and exclusion of the annotated images for quantifying OT, and validated our quantitative grimace scale (qGS) in the mice with pain caused by capsaicin injections in the orofacial or hindpaw regions, the Nav1.8-ChR2 mice following orofacial noxious stimulation with laser light, and the oxaliplatin-treated mice following tactile stimulation with a von Frey filament. We showed that both the eyelid distance and the palpebral fissure width were shortened significantly in the animals in pain compared to the control animals without nociceptive stimulation. Collectively, the present study has established a quantitative orbital tightening for pain assessment in mice using DeepLabCut, providing a new tool for pain assessment in preclinical studies with mice.

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来源期刊
Neurobiology of Pain
Neurobiology of Pain Medicine-Anesthesiology and Pain Medicine
CiteScore
4.40
自引率
0.00%
发文量
29
审稿时长
54 days
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